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Code Editor : cairamjee120523.sql
-- MySQL dump 10.13 Distrib 5.1.73, for redhat-linux-gnu (x86_64) -- -- Host: localhost Database: cai -- ------------------------------------------------------ -- Server version 5.1.73 /*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */; /*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */; /*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */; /*!40101 SET NAMES utf8 */; /*!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE */; /*!40103 SET TIME_ZONE='+00:00' */; /*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */; /*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */; /*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */; /*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */; -- -- Table structure for table `adminlogin` -- DROP TABLE IF EXISTS `adminlogin`; /*!40101 SET @saved_cs_client = @@character_set_client */; /*!40101 SET character_set_client = utf8 */; CREATE TABLE `adminlogin` ( `adID` int(11) NOT NULL AUTO_INCREMENT, `adName` varchar(100) NOT NULL, `adEmail` varchar(100) NOT NULL, `adMobile` varchar(50) NOT NULL, `adPassword` varchar(100) NOT NULL, `adDate` datetime DEFAULT NULL, `tokenCode` varchar(100) NOT NULL, `userStatus` enum('Y','N') DEFAULT 'N', PRIMARY KEY (`adID`) ) ENGINE=MyISAM AUTO_INCREMENT=4 DEFAULT CHARSET=latin1; /*!40101 SET character_set_client = @saved_cs_client */; -- -- Dumping data for table `adminlogin` -- LOCK TABLES `adminlogin` WRITE; /*!40000 ALTER TABLE `adminlogin` DISABLE KEYS */; INSERT INTO `adminlogin` VALUES (1,'Admin','iiitdadmin@gmail.com','88888888888','65e84be33532fb784c48129675f9eff3a682b27168c0ea744b2cf58ee02337c5','2019-10-08 20:03:48','f4c08fa48f44fcd991f4be2200db739b','Y'),(3,'Satish Kumar','satish@gmail.com','88888888888','65e84be33532fb784c48129675f9eff3a682b27168c0ea744b2cf58ee02337c5','2019-10-13 13:54:34','24e3442cdc9c7db08e55b5cf2cb1f005','Y'); /*!40000 ALTER TABLE `adminlogin` ENABLE KEYS */; UNLOCK TABLES; -- -- Table structure for table `adminlogin_old` -- DROP TABLE IF EXISTS `adminlogin_old`; /*!40101 SET @saved_cs_client = @@character_set_client */; /*!40101 SET character_set_client = utf8 */; CREATE TABLE `adminlogin_old` ( `adID` int(11) NOT NULL AUTO_INCREMENT, `adName` varchar(100) NOT NULL, `adEmail` varchar(100) NOT NULL, `adMobile` varchar(50) NOT NULL, `adPassword` varchar(100) NOT NULL, `adDate` datetime DEFAULT NULL, `tokenCode` varchar(100) NOT NULL, `userStatus` enum('Y','N') DEFAULT 'N', PRIMARY KEY (`adID`) ) ENGINE=MyISAM AUTO_INCREMENT=4 DEFAULT CHARSET=latin1; 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INSERT INTO `authsession_old` VALUES (44,1,'a20c21414e3a93d1597a5194d488ab78','Y'); /*!40000 ALTER TABLE `authsession_old` ENABLE KEYS */; UNLOCK TABLES; -- -- Table structure for table `projectdetails` -- DROP TABLE IF EXISTS `projectdetails`; /*!40101 SET @saved_cs_client = @@character_set_client */; /*!40101 SET character_set_client = utf8 */; CREATE TABLE `projectdetails` ( `pID` int(11) NOT NULL AUTO_INCREMENT, `projectTitle` varchar(1000) NOT NULL, `startDate` varchar(100) NOT NULL, `endDate` varchar(100) NOT NULL, `description` varchar(3000) NOT NULL, `fundingAgency` varchar(500) NOT NULL, `piDetails` varchar(500) NOT NULL, `pImg` varchar(500) NOT NULL, `makerstamp` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP, `updstamp` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00', `status` varchar(20) NOT NULL, `projectStatus` varchar(100) DEFAULT NULL, PRIMARY KEY (`pID`) ) ENGINE=MyISAM AUTO_INCREMENT=15 DEFAULT CHARSET=latin1; /*!40101 SET character_set_client = @saved_cs_client */; -- -- Dumping data for table `projectdetails` -- LOCK TABLES `projectdetails` WRITE; 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The shuttle will operate on predefined routes and provide hassle free anytime connectivity to modes of public transport like the Metro. To keep the costs per shuttle low, we plan to leverage state-of-the-art Artificial Intelligence and other computational techniques that enable reducing the costs of sensing hardware needed per shuttle. In its first avatar the shuttle will provide connectivity between points in a university campus.','Ministry of Electronics and Information Technology (MeitY)','Saket Anand','1-Ministry of Electronics and Information Technology (MeitY)-798D09BF-B7C6-45F5-A84A-E965052BE0F5.jpeg','2022-02-02 20:04:52','2022-02-07 18:01:17','2','Current'),(3,'AI for Monitoring of Wildlife for Conservation','2022-03-01','2024-07-31','TBA','Science and Engineering Research Board (SERB)','Saket Anand','1-Science and Engineering Research Board (SERB)-ECF394B5-7613-4F6A-8B94-2253E1712DD9.jpeg','2022-02-05 10:21:49','2022-02-07 18:00:38','2','Current'),(4,'LEAD-SV: Low-footprint, Efficient and Adaptive Deep Models for Speaker Verification in Smart Home Devices','2022-01-01','2023-12-31','Learning to listen - approaches that will enable on-device deployment of SV systems. Learning to detect - approaches for novel countermeasures for spoofing attacks','Science and Engineering Research Board (SERB)','Vinayak Abrol','1-Science and Engineering Research Board (SERB)-abrol2.jpg','2022-02-05 10:29:19','2022-02-07 18:00:13','2','Current'),(5,'A Web Server for Drug Response Prediction using scRNA-seq Data','2021-01-01','2023-12-31','Single cell RNA sequencing (scRNA-seq) technologies have refined our appreciation for intra and inter tumoral heterogeneity across cancer types. While scRNA-seq has been adopted as a method of choice for a large number of clinical studies, we are yet to exploit it fully for making patient-specific treatment decisions by factoring in Intra-Tumoral-Heterogeneity (ITH). To cater to this need, we will develop a prediction webserver to enable systematic interrogation of intratumoral heterogeneity using scRNA-seq data to arrive at subclonal drug response inferences. Researchers will be able to use this webserver to explain drug resistance in PDX models, cell-lines, and patient tumors. Clinicians, who benchmark scRNA-Seq data for treatment decision making, will also use the proposed\r\nplatform as a Clinical Decision Support System (CDSS) for sub-clonal drug-response analysis.','Infosys Centre for AI (CAI)','Debarka Sengupta','1-Infosys Centre for AI (CAI)-abrol1.jpg','2022-02-05 10:32:47','2022-02-07 17:59:42','2','Current'),(6,'Orbit Computation of Resident Space Objects for Space Situational Awareness','2021-04-01','2023-03-31','Due to increased human activity in the last two decades, near-earth space is becoming congested from functional/non-functional satellites and space debris. These space objects of human origin along with natural asteroids and space weather possess natural, accidental or intentional threats to the functional and expensive satellites. Currently Space Surveillance Network (SSN) owned by USA provides orbit information for various Resident Space Objects, which are less accurate. Additionally, India depends on Combined Space Operation Centre (CSpOC) for threat alerts from RSO for active space missions. \r\n \r\nIn this project, we are developing a prototype computationally efficient orbit computation software tool for RSO using NSM infrastructure. It is expected that the outcome of the project will contribute towards India\'s self-reliance in risk assessment for space assets by providing operationally flexible, scalable, transparent, and indigenous collision probability solution.','National Super Computing Mission, DST','Sanat K Biswas','1-National Super Computing Mission, DST-sanat1.jpg','2022-02-05 10:41:59','2022-02-07 17:59:08','2','Current'),(7,'Robot-Assisted Diagnosis of Autism Spectrum Disorder','2021-12-23','2022-12-22','Early detection of Autism Spectrum Disorder (ASD) is crucial for deciding the appropriate educational and behavioral intervention at the most suitable time. However, there are no absolute biological markers for autism and accurate diagnosis of ASD requires extensive training and experience acquired over the years, such expertise is limited to few individuals centered in metropolitans and is beyond the reach of most of the affected population. robot-assisted interventions have found increasing acceptance as a support tool for therapy and education for children with autism (CwA). CwA prefers to interact with technological tools rather than human beings and hence, robot-assisted diagnosis systems can be employed to improve the early detection of ASD in an automated assessment manner making the ASD diagnosis more objective. The overarching goal of this project is to develop a robot-assisted system for the diagnosis of ASD suitable to children of Indian ethnicity. Upon validation, the benefits of this project can be made available to the unreachable children masses of India.','Science and Engineering Research Board (SERB)','Jainendra Shukla','1-Science and Engineering Research Board (SERB)-14137C7C-3D9B-40AA-A225-088C238F9460.jpeg','2022-02-05 10:47:12','2022-02-07 17:58:40','2','Current'),(8,'EngageMe: Multimodal Analysis of Attention among Children with Attention Deficit Hyperactivity Disorder for Digital Learning','2021-08-21','2024-07-31','Children with Specific Learning Disabilities (SLDs) experience repeated failures and poor performance despite their continuous efforts and practice in learning. At the same time, worldwide, the condition with SLDs has been exacerbated due to the COVID-19 pandemic when education delivery shifted online. Thus, strengthening online education delivery will be important and impacting. However, research has indicated that educators might not always be aware of their students\' attentional focus, and this may be particularly true for novice teachers. The aim of this project is to develop an AI-empowered tool that will offer personalized, monitored, and evidence-based identification of attention levels among children with SLD. Once validated, the findings of this project can improve and monitor the attention of children with SLDs and can play a significant role in their inclusion during digital learning.','iHUB-Anubhuti','Jainendra Shukla','1-iHUB-Anubhuti-5869199C-9CD5-4669-B3D0-7B1F42A7DED2.jpeg','2022-02-05 10:51:06','2022-02-07 16:13:32','2','Past'),(13,'Automated Federated Deep Learning','2022-03-01','3 Years','TBD','CEFIPRA','Bapi Chatterjee','1-CEFIPRA-1-Science and Engineering Research Board (SERB)-abrol2.jpg','2022-03-09 08:39:21','0000-00-00 00:00:00','2','Current'),(14,'Model agnostic evaluation of transferability of pre-trained deep models','2022-01-01','2 years','This project aims to develop mathematical tools to measure and evaluate the transferability of deep neural network (DNN) based models for a target task. To this aim various time-frequency (TF) and topology based methods will be explored to come up with an empirically easy to compute metric. Such a metric is aimed toward the practical assessment of a variety of different pre-trained acoustic models by running just a single pass through target data. We analyze the properties of our methods theoretically and also demonstrate their effectiveness empirically for diverse pre-trained models (supervised/unsupervised), downstream tasks (classification/regression), and modalities (vision/speech/audio).','IIITD-IITD','Vinayak Abrol','1-IIITD-IITD-modelagnosticprojectimage.jpg','2022-05-30 06:39:08','0000-00-00 00:00:00','2','Current'); /*!40000 ALTER TABLE `projectdetails` ENABLE KEYS */; UNLOCK TABLES; -- -- Table structure for table `projectdetails_old` -- DROP TABLE IF EXISTS `projectdetails_old`; /*!40101 SET @saved_cs_client = @@character_set_client */; /*!40101 SET character_set_client = utf8 */; CREATE TABLE `projectdetails_old` ( `pID` int(11) NOT NULL AUTO_INCREMENT, `projectTitle` varchar(1000) NOT NULL, `startDate` varchar(100) NOT NULL, `endDate` varchar(100) NOT NULL, `description` varchar(3000) NOT NULL, `fundingAgency` varchar(500) NOT NULL, `piDetails` varchar(500) NOT NULL, `pImg` varchar(500) NOT NULL, `makerstamp` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP, `updstamp` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00', `status` varchar(20) NOT NULL, PRIMARY KEY (`pID`) ) ENGINE=MyISAM AUTO_INCREMENT=11 DEFAULT CHARSET=latin1; /*!40101 SET character_set_client = @saved_cs_client */; -- -- Dumping data for table `projectdetails_old` -- LOCK TABLES `projectdetails_old` WRITE; /*!40000 ALTER TABLE `projectdetails_old` DISABLE KEYS */; INSERT INTO `projectdetails_old` VALUES (2,'Autonomous Last Mile Vehicle (ALIVE)','2020-03-01','2022-03-01','PI: Saket Anand -- \r\nThe goal of this project is to create an autonomous shuttle for the urban Indian last mile. The shuttle will operate on predefined routes and provide hassle free anytime connectivity to modes of public transport like the Metro. To keep the costs per shuttle low, we plan to leverage state-of-the-art Artificial Intelligence and other computational techniques that enable reducing the costs of sensing hardware needed per shuttle. 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Currently Space Surveillance Network (SSN) owned by USA provides orbit information for various Resident Space Objects, which are less accurate. Additionally, India depends on Combined Space Operation Centre (CSpOC) for threat alerts from RSO for active space missions. \r\n \r\nIn this project, we are developing a prototype computationally efficient orbit computation software tool for RSO using NSM infrastructure. It is expected that the outcome of the project will contribute towards India’s self-reliance in risk assessment for space assets by providing operationally flexible, scalable, transparent, and indigenous collision probability solution.','National Super Computing Mission, DST','','1-National Super Computing Mission, DST-sanat1.jpg','2022-02-05 10:41:59','2022-02-05 10:41:59','2'),(7,'Robot-Assisted Diagnosis of Autism Spectrum Disorder','2021-12-23','2022-12-22','PI: Jainendra Shukla -- Early detection of Autism Spectrum Disorder (ASD) is crucial for deciding the appropriate educational and behavioral intervention at the most suitable time. 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Upon validation, the benefits of this project can be made available to the unreachable children masses of India.','Science and Engineering Research Board (SERB)','','1-Science and Engineering Research Board (SERB)-14137C7C-3D9B-40AA-A225-088C238F9460.jpeg','2022-02-05 10:47:12','2022-02-06 17:12:11','2'),(8,'EngageMe: Multimodal Analysis of Attention among Children with Attention Deficit Hyperactivity Disorder for Digital Learning','2021-08-21','2024-07-31','PI: Jainendra Shukla -- Children with Specific Learning Disabilities (SLDs) experience repeated failures and poor performance despite their continuous efforts and practice in learning. At the same time, worldwide, the condition with SLDs has been exacerbated due to the COVID-19 pandemic when education delivery shifted online. Thus, strengthening online education delivery will be important and impacting. However, research has indicated that educators might not always be aware of their students’ attentional focus, and this may be particularly true for novice teachers. The aim of this project is to develop an AI-empowered tool that will offer personalized, monitored, and evidence-based identification of attention levels among children with SLD. Once validated, the findings of this project can improve and monitor the attention of children with SLDs and can play a significant role in their inclusion during digital learning.','iHUB-Anubhuti','','1-iHUB-Anubhuti-5869199C-9CD5-4669-B3D0-7B1F42A7DED2.jpeg','2022-02-05 10:51:06','2022-02-06 17:12:01','2'); /*!40000 ALTER TABLE `projectdetails_old` ENABLE KEYS */; UNLOCK TABLES; -- -- Table structure for table `publicationstbl` -- DROP TABLE IF EXISTS `publicationstbl`; /*!40101 SET @saved_cs_client = @@character_set_client */; /*!40101 SET character_set_client = utf8 */; CREATE TABLE `publicationstbl` ( `id` int(11) NOT NULL AUTO_INCREMENT, `ddlYears` varchar(50) NOT NULL, `typeC` varchar(100) NOT NULL, `areaType` varchar(500) NOT NULL, `contentmsg` varchar(2000) NOT NULL, `status` varchar(11) NOT NULL, `makerstamp` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, `updatestamp` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00', PRIMARY KEY (`id`) ) ENGINE=MyISAM AUTO_INCREMENT=363 DEFAULT CHARSET=latin1; /*!40101 SET character_set_client = @saved_cs_client */; -- -- Dumping data for table `publicationstbl` -- LOCK TABLES `publicationstbl` WRITE; /*!40000 ALTER TABLE `publicationstbl` DISABLE KEYS */; INSERT INTO `publicationstbl` VALUES (1,'2022','Conferences','Speech-Audio Processing','D. Gupta and V. Abrol, \'\'Time-Frequency and Geometric Analysis of Task Dependent Learning in Raw Waveform based Acoustic Models\'\', in 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022, Singapore.','2','2022-03-08 05:34:05','2022-02-05 16:02:01'),(3,'2022','Journals','Machine-Deep Learning','Angshul Majumdar, \"Solving inverse problems with autoencoders on learnt graphs.\" Signal Processing 190 (2022): 108300.','2','2022-03-25 11:30:05','2022-02-05 16:02:07'),(4,'2021','Journals','NLP','S. Mittal, D. Sengupta and T. Chakraborty, \"Hide and Seek: Outwitting Community Detection Algorithms\", in IEEE Transactions on Computational Social Systems, vol. 8, no. 4, pp. 799-808, Aug. 2021, doi: 10.1109/TCSS.2021.3062711.','2','2022-03-08 05:37:00','2022-02-05 16:02:10'),(5,'2021','Conferences','NLP','Subhapratta Datta, Sarah Masud, Sakshi Makkar, Chhavi Jain, Vikram Goyal, Amitava Das, Tanmoy Chakraborty, \"Hate is the New Infodemic: Modeling and Visualizing Hate Speech Diffusion on Twitter\", In International Conference on Data Engineering (ICDE), 2021.','2','2022-03-08 05:34:24','2022-02-05 16:02:15'),(6,'2021','Conferences','Knowledge Graphs','Singh, G., Mondal, S., Bhatia, S., & Mutharaju, R. , \"Neuro-Symbolic Techniques for Description Logic Reasoning\", In AAAI Conference on Artificial Intelligence (Student Abstract), pp. 15891-15892, 2021.','2','2022-03-08 05:35:49','2022-02-05 16:02:19'),(7,'2022','Conferences','Computer Vision','Garg, A., Bagga, S., Singh, Y., & Anand, S. ,\" HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning\", In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 1015-1024, 2022.','2','2022-03-08 05:33:15','0000-00-00 00:00:00'),(8,'2021','Conferences','Image processing','Angshul Majumdar, Anurag Goel, \"Clustering Friendly Dictionary Learning\", in Springer International Conference on Neural Information Processing (ICONIP), 2021.','2','2022-03-25 11:27:58','0000-00-00 00:00:00'),(9,'2021','Conferences','Image processing','Angshul Majumdar, Anurag Goel, \"Transformed K-means Clustering\", in IEEE/EURASIP Interanational Conference on European Signal Processing Conference (EUSIPCO), 2021.','2','2022-03-25 11:28:39','0000-00-00 00:00:00'),(10,'2020','Conferences','Biomedical Signal Processing','Angshul Majumdar, Pooja Gupta, Jyoti Maggu, Emilie Chouzenoux and Giovanni Chierchia, \"ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis\", in IEEE International Conference on European Signal Processing Conference (EUSIPCO), 2020','2','2022-03-25 11:29:16','0000-00-00 00:00:00'),(11,'2021','Conferences','NLP','Angshul Majumdar, Snehil Dahiya, Shalini Sharma, Dhruv Sahnan, Vasu Goel, Emilie Chouzenoux, VÃctor Elvira, Anil Bandhakavi and Tanmoy Chakraborty, \"Would your tweet invoke hate on the fly? forecasting hate intensity of reply threads on Twitter\", in ACM International Conference of the ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), 2021.','2','2022-03-25 11:30:52','0000-00-00 00:00:00'),(12,'2021','Conferences','NLP','Angshul Majumdar, Snehil Dahiya, Shalini Sharma, Dhruv Sahnan, Vasu Goel, Emilie Chouzenoux, VÃctor Elvira, Anil Bandhakavi and Tanmoy Chakraborty, \"Would your tweet invoke hate on the fly? forecasting hate intensity of reply threads on Twitter\", in ACM International Conference of the ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), 2021.','2','2022-03-25 11:31:03','0000-00-00 00:00:00'),(13,'2021','Conferences','Human-Robot Interaction','Jainendra Shukla, B Ashwini, Vrinda Narayan and Ananya Bhatia, \"Responsiveness towards robot-assisted interactions among pre-primary children of Indian ethnicity\", in IEEE International Symposium on Robot & Human Interactive Communication (RO-MAN), 2021.','2','2022-03-25 11:31:41','0000-00-00 00:00:00'),(14,'2021','Conferences','Human-Robot Interaction','Jainendra Shukla, Kanishk Rana and Rahul Madaan, \"Effect of Polite Triggers in Chatbot Conversations on User Experience across Gender, Age, and Personality\", in IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), 2021','2','2022-03-25 11:31:59','0000-00-00 00:00:00'),(15,'2021','Conferences','Human-Robot Interaction','Jainendra Shukla, Surabhi S Nath and Vishaal Udandarao, \"It’s LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment\", in ACM India Special Interest Group On Knowledge Discovery and Data Mining (IKDD) Conference on Data Science and Management of Data (CODS-COMAD), 2021.','2','2022-03-25 11:32:20','0000-00-00 00:00:00'),(16,'2021','Conferences','Human-Robot Interaction','Jainendra Shukla, Rajiv Ratn Shah, Vidit Jain and Maitree Leekha, \"Exploring Semi-Supervised Learning for Predicting Listener Backchannels\", in ACM CHI Conference on Human Factors in Computing Systems, 2021.','2','2022-03-25 11:32:51','0000-00-00 00:00:00'),(17,'2021','Conferences','Computer Vision','Koteswar Rao Jerripothula, Sarvesh Kumar Shukla, Samyak Jain and Shudhanshu Singh, \"Fruit Maturity Recognition from Agricultural, Market and Automation Perspectives\", in IEEE Annual Conference of Industrial Electronics Society (IECON), 2021.','2','2022-03-25 11:33:06','0000-00-00 00:00:00'),(18,'2021','Conferences','Image processing','Koteswar Rao Jerripothula and Harshit Chhabra, \"Comprehensive Saliency Fusion for Object Co-segmentation\", in IEEE International Symposium on Multimedia (ISM), 2021.','2','2022-03-25 11:33:25','0000-00-00 00:00:00'),(19,'2021','Conferences','Mobile Systems and Applications','Pushpendra Singh, \"Rethinking Menstrual Trackers Towards Period-Positive Ecologies\", in ACM CHI Conference on Human Factors in Computing Systems, Hybrid-Onsite New Orleans, US, 2022.','2','2022-03-25 11:34:08','0000-00-00 00:00:00'),(20,'2021','Conferences','Mobile Systems and Applications','Pushpendra Singh, \"Should I visit the clinic: Analyzing WhatsApp-mediated Online Health Support for Expectant and New Mothers in Rural India\", in ACM CHI Conference on Human Factors in Computing Systems, Hybrid-Onsite New Orleans, US, 2022.','2','2022-03-25 11:34:25','0000-00-00 00:00:00'),(21,'2021','Conferences','Software Security','Rahul Purandare, Dhriti Khanna and Subodh Sharma, \"Synthesizing Multi-threaded Tests from Sequential Traces to Detect Communication Deadlocks\", in IEEE Conference on Software Testing, Verification and Validation (ICST), 2021.','2','2022-03-25 11:34:47','0000-00-00 00:00:00'),(22,'2021','Conferences','Biomedical Signal Processing','Ranjitha Prasad, Ansh Kumar Sharma, Rahul Kukreja and Shilpa Rao, \"DAGSurv: Directed Ayclic Graph Based Survival Analysis Using Deep Neural Networks\", in Asian Conference on Machine Learning (ACML), 2021.','2','2022-03-25 11:35:06','0000-00-00 00:00:00'),(23,'2021','Conferences','Biomedical Signal Processing','Ranjitha Prasad, Ansh Kumar Sharma, Rahul Kukreja and Shilpa Rao, \"DAGSurv: Directed Ayclic Graph Based Survival Analysis Using Deep Neural Networks\", in Asian Conference on Machine Learning (ACML), 2021.','2','2022-03-25 11:35:10','0000-00-00 00:00:00'),(24,'2021','Conferences','Biomedical Signal Processing','Ranjitha Prasad, \"B-Small: A Bayesian Neural Network Approach to Sparse Model-Agnostic Meta-Learning\", in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021.','2','2022-03-25 11:35:57','0000-00-00 00:00:00'),(25,'2022','Conferences','Computer Vision','Saket Anand, Ashima Garg, Shaurya Bagga and Yashvardhan Singh, \"HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning\", in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Hybrid- Onsite Waikoloa, Hawaii, 2022.','1','2022-05-17 17:24:02','0000-00-00 00:00:00'),(26,'2022','Conferences','Computer Vision','Saket Anand, Agarwal, Sumanyu Muku and Chetan Arora, \"Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias\", in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Hybrid- Onsite Waikoloa, Hawaii, 2022.','2','2022-03-25 11:36:37','0000-00-00 00:00:00'),(27,'2022','Conferences','Computer Vision','Saket Anand, Lokender Tiwari, Anish Madan and Subhashis Banerjee, \"REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions\", in IEEE Workshop on Applications of Computer Vision (WACV), Hybrid- Onsite Waikoloa, Hawaii, 2022.','2','2022-03-25 11:36:53','0000-00-00 00:00:00'),(28,'2022','Conferences','Computer Vision','Sanjit K. Kaul, Saket Anand and Anil Sharma, \"Intelligent Camera Selection Decisions for Target Tracking in a Camera Network\", in IEEE Winter Conference on Applications of Computer Vision (WACV), Hybrid- Onsite Waikoloa, Hawaii, 2022.','2','2022-03-25 11:38:55','0000-00-00 00:00:00'),(29,'2022','Conferences','NLP','Md Shad Akhtar, Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava and Tanmoy Chakraborty, \"Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversation\", in ACM International Conference on Web Search and Data Mining (WSDM), 2022.','2','2022-03-25 11:39:19','0000-00-00 00:00:00'),(30,'2022','Conferences','NLP','Md Shad Akhtar, Megha Sundriyal, Parantak Singh, Shubhashis Sengupta and Tanmoy Chakraborty, \"DESYR: Definition and Syntactic Representation Based Claim Detection on the Web\", in ACM International Conference on Information & Knowledge Management (CIKM), 2022.','2','2022-03-25 11:39:32','0000-00-00 00:00:00'),(31,'2021','Conferences','NLP','Md Shad Akhtar,Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Preslav Nakov and Tanmoy Chakraborty, \"Detecting harmful memes and their targets\", in ACL International Joint Conference on Natural Language Processing (IJCNL), 2021.','2','2022-03-25 11:40:21','0000-00-00 00:00:00'),(32,'2021','Conferences','NLP','Md Shad Akhtar, Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Preslav Nakov and Tanmoy Chakraborty, \"MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets\", in Conference on Empirical Methods in Natural Language Processing (EMNLP), Hybrid- Onsite Punta Cana, Dominican Republic, 2021.','2','2022-03-25 11:40:12','0000-00-00 00:00:00'),(33,'2021','Conferences','NLP','Md Shad Akhtar, Ayan Sengupta, Sourabh Kumar Bhattacharjee and Tanmoy Chakraborty, \"HIT: A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation\", in ACL International Joint Conference on Natural Language Processing (IJCNL), 2021.','2','2022-03-25 11:41:04','0000-00-00 00:00:00'),(34,'2021','Conferences','NLP','Md Shad Akhtar, Shraman Pramanick and Tanmoy Chakraborty, \"Exercise? I thought you said \'Extra Fries\': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis\", in International Conference on Web and Social Media (ICWSM), 2021.','2','2022-03-25 11:41:27','0000-00-00 00:00:00'),(35,'2021','Conferences','NLP','Md Shad Akhtar, Shreya Gupta, Parantak Singh, Megha Sundriyal, and Tanmoy Chakraborty, \"Lesa: Linguistic encapsulation and semantic amalgamation based generalised claim detection from online content\", in Conference of European Chapter of the Association for Computational Linguistics (EACL), 2021.','2','2022-03-25 11:41:44','0000-00-00 00:00:00'),(36,'2021','Conferences','NLP','Md Shad Akhtar, Poorav Desai, and Tanmoy Chakraborty, \"Nice perfume. How long did you marinate in it? Multimodal Sarcasm Explanation\", in Association for the Advancement of Artificial Intelligence (AAAI), 2021.','2','2022-03-25 11:41:57','0000-00-00 00:00:00'),(37,'2021','Conferences','Machine-Deep Learning','Tanmoy Chakraborty, Subhabrata Dutta, Tanya Gautam, and Soumen Chakrabarti, \"Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems\", in Advances in Neural Information Processing Systems (NeurIPS), 2021','2','2022-03-25 11:42:22','0000-00-00 00:00:00'),(38,'2021','Conferences','NLP','Tanmoy Chakraborty, Dhruv Sahnan, Snehil Dahiya, Vasu Goel, and Anil Bandhakavi, \"Better Prevent than React: Deep Stratified Learning to Predict Hate Intensity of Twitter Reply Chains\", in IEEE International Conference on Data Mining (ICDM), 2021.','2','2022-03-25 11:42:39','0000-00-00 00:00:00'),(39,'2021','Conferences','NLP','Tanmoy Chakraborty, Hridoy Sankar Dutta, and Kartik Aggarwal, \"DECIFE: Detecting collusive users involved in blackmarket following services on Twitter\", in ACM Conference on Hypertext and Social Media (ACMHT), 2021.','2','2022-03-25 11:42:55','0000-00-00 00:00:00'),(40,'2021','Conferences','NLP','Tanmoy Chakraborty, Hridoy Sankar Dutta, and Kartik Aggarwal, \"DECIFE: Detecting collusive users involved in blackmarket following services on Twitter\", in ACM Conference on Hypertext and Social Media (ACMHT), 2021.','2','2022-03-25 11:43:10','0000-00-00 00:00:00'),(41,'2021','Conferences','NLP','Tanmoy Chakraborty Siddharth Bhatia, Yiwei Wang, and Bryan Hooi, \" GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs\", in Joint European Conference on Machine Learning and Principle of Knowledge Discovery in Databases (ECML PKDD), 2021.','2','2022-03-25 11:43:45','0000-00-00 00:00:00'),(42,'2021','Conferences','NLP','Tanmoy Chakraborty, Snehil Dahiya, Shalini Sharma, Dhruv Sahnan, Vasu Goel, Emilie Chouzenoux, VÃctor Elvira, Angshul Majumdar, and Anil Bandhakavi, \"Would your tweet invoke hate on the fly? forecasting hate intensity of reply threads on Twitter\", in ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), 2021.','2','2022-03-25 11:44:03','0000-00-00 00:00:00'),(43,'2021','Conferences','NLP','Tanmoy Chakravorty, Nirav Diwan, and Zubair Shafiq, \"Fingerprinting Fine-tuned Language Models in the Wild\", in Findings of the Association for Computational Linguistics (ACL-IJCNLP), 2021.','2','2022-03-25 11:44:17','0000-00-00 00:00:00'),(44,'2021','Conferences','NLP','Tanmoy Chakraborty, Hridoy Sankar Dutta and Udit Arora, \"ABOME: A Multi-platform Data Repository of Artificially Boosted Online Media Entities\", in International AAAI Conference on Web and Social Media (ICWSM), 2021.','2','2022-03-25 11:44:32','0000-00-00 00:00:00'),(45,'2021','Conferences','NLP','Tanmoy Chakraborty Ayan Sengupta, William Scott Paka, Suman Roy, and Gaurav Ranjan, \"An Embedding-based Joint Sentiment-Topic Model for Short Texts\", in International AAAI Conference on Web and Social Media (ICWSM), 2021.','2','2022-03-25 11:44:49','0000-00-00 00:00:00'),(46,'2021','Conferences','NLP','Tanmoy Chakraborty, and Viresh Gupta, \"VIKING: Adversarial Attack on Network Embeddings via Supervised Network Poisoning\", in Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Hybrid-onsite Delhi, India, 2021.','2','2022-03-25 11:45:03','0000-00-00 00:00:00'),(47,'2021','Conferences','NLP','Tanmoy Chakraborty, \"Combining Exogenous and Endogenous Signals with a Semi-supervised Co-attention Network for Early Detection of COVID-19 Fake Tweets\", in Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Hybrid-onsite Delhi, India, 2021.','2','2022-03-25 11:45:25','0000-00-00 00:00:00'),(48,'2021','Conferences','NLP','Tanmoy Chakraborty, Sarah Masud, Subhabrata Dutta, Sakshi Makkar, Chhavi Jain, Vikram Goyal, and Amitava Das, \"Hate is the new infodemic: A topic-aware modeling of hate speech diffusion on twitter\", in IEEE International Conference on Data Engineering (ICDE), 2021','2','2022-03-25 11:45:38','0000-00-00 00:00:00'),(49,'2022','Conferences','Machine-Deep Learning','Estelle Massart and Vinayak Abrol, \"Coordinate descent on the orthogonal group for recurrent neural network training\", in Association for the Advancement of Artificial Intelligence (AAAI), 2022.','2','2022-03-25 11:46:42','0000-00-00 00:00:00'),(50,'2021','Conferences','Knowledge Graphs','V Raghava Mutharaju, Sutapa Mondal, and Sumit Bhatia, \"EmEL++: Embeddings for EL++ Description Logic\", in AAAI Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE), 2021.','2','2022-03-25 11:47:18','0000-00-00 00:00:00'),(51,'2021','Conferences','Knowledge Graphs','V Raghava Mutharaju, Nikhil Sachdeva, and Monika Jain, \"Extraction of Union and Intersection Axioms from Biomedical Text\", in Extended Semantic Web Conference (ESWC), Posters & Demos Track, 2021.','2','2022-03-25 11:47:35','0000-00-00 00:00:00'),(52,'2021','Conferences','Knowledge Graphs','V Raghava Mutharaju, and Pramit Bhattacharyya, \"OntoSeer: A Tool to Ease the Ontology Development Process\", in ACM Joint International Conference on Data Science and Management of Data (CODS COMAD), 2021.','2','2022-03-25 11:47:50','0000-00-00 00:00:00'),(53,'2021','Conferences','Knowledge Graphs','V Raghava Mutharaju, Anmol Singhal, Mihir Goyal, and Jainendra Shukla, \"Feature Fused Human Activity Recognition Network (FFHAR-Net)\", in International Conference on Human-Computer Interaction (HCI), 2021.','2','2022-03-25 11:48:07','0000-00-00 00:00:00'),(54,'2021','Conferences','Knowledge Graphs','V Raghava Mutharaju, Sumit Bhatia, and Kritika Venkatachalam, \"SERC: Syntactic and Semantic Sequence based Event Relation Classification\", in IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2021.','2','2022-03-25 11:48:44','0000-00-00 00:00:00'),(55,'2021','Journals','Data Mining','Angshul Majumdar, and Shalini Sharma, \"Sequential Transform Learning\", in ACM Transactions on Knowledge Discovery from Data (TKDD), Vol 15(5), Page 1-18, 2021.','2','2022-03-25 11:49:17','0000-00-00 00:00:00'),(56,'2021','Journals','Machine-Deep Learning','Angshul Majumdar, Pooja Gupta, Emilie Chouzenoux, and Giovanni Chierchia, \"SuperDeConFuse: A supervised deep convolutional transform based fusion framework for financial trading systems\", in Pergamon Expert Systems with Applications, Vol 169, Article 114206, 2021.','2','2022-03-25 11:49:37','0000-00-00 00:00:00'),(57,'2021','Journals','Healthcare Informatics','Angshul Majumdar, Aanchal Mongia, Sanjay Kr Saha, and Emilie Chouzenoux, \"A computational approach to aid clinicians in selecting anti-viral drugs for COVID-19 trials\", in Nature Publishing Group Scientific reports, Vol 11(1), Page 1-12, 2021.','2','2022-03-25 11:50:00','0000-00-00 00:00:00'),(58,'2021','Journals','Machine-Deep Learning','Angshul Majumdar, \"Kernelized linear autoencoder\", in Springer Neural Processing Letters, Vol 53(2), Pages 1597-1614, 2021.','2','2022-03-25 11:50:39','0000-00-00 00:00:00'),(59,'2022','Journals','Healthcare Informatics','Angshul Majumdar, Aanchal Mongia, and Emilie Chouzenoux, \"Computational prediction of Drug-Disease association based on Graph-regularized one bit Matrix completion\", in IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022','2','2022-03-25 11:50:57','0000-00-00 00:00:00'),(60,'2021','Journals','Machine-Deep Learning','Angshul Majumdar, and Aanchal Mongia, \"Matrix completion on learnt graphs: Application to collaborative filtering\", in Elsevier Expert Systems with Applications, Vol 125, 2021.','2','2022-03-25 11:51:41','0000-00-00 00:00:00'),(61,'2022','Journals','Machine-Deep Learning','Angshul Majumdar, Shikha Singh, Emilie Chouzenoux, and Giovanni Chierchia, \"Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring\", in ACM Transactions on Knowledge Discovery from Data (TKDD), Vol 5, Page1-6, 2022.','2','2022-03-25 11:52:03','0000-00-00 00:00:00'),(62,'2021','Journals','Data Mining','Angshul Majumdar, Shalini Sharma, VÃctor Elvira, and Emilie Chouzenoux, \"Recurrent dictionary learning for state-space models with an application in stock forecasting\", in Elsevier Neurocomputing, Vol 450, Page 1-13, 2021.','2','2022-03-25 11:52:25','0000-00-00 00:00:00'),(63,'2021','Journals','NLP','Anubha Gupta, Vishaal Udandarao, Abhishek Agarwal, and Tanmoy Chakraborty, \"InPHYNet: Leveraging attention-based multitask recurrent networks for multi-label physics text classification\", in Elsevier Knowledge-Based Systems, Vol 211, Article 106487, 2021.','2','2022-03-25 11:52:54','0000-00-00 00:00:00'),(64,'2021','Journals','Biomedical Signal Processing','Anubha Gupta, Shiv Gehlot, and, Ritu Gupta, \"A CNN-based unified framework utilizing projection loss in unison with label noise handling for multiple Myeloma cancer diagnosis\", in Elsevier Medical image analysis, Vol 72, Article 102099, 2021.','2','2022-03-25 11:53:18','0000-00-00 00:00:00'),(65,'2021','Journals','Healthcare Informatics','Debarka Sengupta, Vishakha Gautam, Aayushi Mittal, Siddhant Kalra, Sanjay Kumar Mohanty, Krishan Gupta, Komal Rani, Srivatsava Naidu, Tripti Mishra, and Gaurav Ahuja, \"EcTracker: Tracking and elucidating ectopic expression leveraging large-scale scRNA-seq studies\", in Oxford University Press in Briefings Bioinformatics, Vol 22(6), Article bbab237, 2021.','2','2022-03-25 11:53:45','0000-00-00 00:00:00'),(66,'2021','Journals','Healthcare Informatics','Debarka Sengupta, Krishan Gupta, Princey Yadav, Sidrah Maryam, and Gaurav Ahuja, \"Quantification of Age-Related Decline in Transcriptional Homeostasis\", in Academic Press Journal of Molecular Biology, Vol 433(19), Page 167179, 2021.','2','2022-03-25 11:54:01','0000-00-00 00:00:00'),(67,'2021','Journals','Healthcare Informatics','Debarka Sengupta, Ria Gupta, Aayushi Mittal, Vishesh Agrawal, Sushant Gupta, Krishan Gupta, Rishi Raj Jain, Prakriti Garg, Sanjay Kumar Mohanty, Riya Sogani, Harshit Singh Chhabra, Vishakha Gautam, Tripti Mishra, Gaurav Ahuja, \"OdoriFy: A conglomerate of artificial intelligence–driven prediction engines for olfactory decoding\", in Elsevier Journal of Biological Chemistry, Vol 297(2), 2021.','2','2022-03-25 11:54:23','0000-00-00 00:00:00'),(68,'2021','Journals','Data Mining','Debarka Sengupta, Prashant Gupta, and Aashi Jindal, \"ComBI: Compressed Binary Search Tree for Approximate k-NN Searches in Hamming Space\", in Elsevier Big Data Research, Vol 25, Article 100223, 2021.','2','2022-03-25 11:55:02','0000-00-00 00:00:00'),(69,'2021','Journals','Data Mining','Debarka Sengupta, Namrata Bhattacharya, Colleen C Nelson, and Gaurav Ahuja, \"Big data analytics in singleâ€cell transcriptomics: Five grand opportunities\", in Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol 11(4), Article e1414, 2021.','2','2022-03-25 11:55:24','0000-00-00 00:00:00'),(70,'2021','Journals','Mobile Systems and Applications','Debarka Sengupta, Siddhant Kalra, Aayushi Mittal, Manisha Bajoria, Tripti Mishra, Sidrah Maryam, and, Gaurav Ahuja, \"Challenges and possible solutions for decoding extranasal olfactory receptors\", in The FEBS Journal, Vol 288(14), Page 4230-4241, 2021.','2','2022-03-25 11:55:45','0000-00-00 00:00:00'),(71,'2021','Journals','Healthcare Informatics','Debarka Sengupta,Krishan Gupta, Manan Lalit, Aditya Biswas, Chad D Sanada, Cassandra Greene, Kyle Hukari, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Naveen Ramalingam, Gaurav Ahuja, and Abhik Ghosh, \"Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-seq data\", in Cold Spring Harbor Lab Genome research, Vol 31(4), Page 689-697, 2021.','2','2022-03-25 11:56:16','0000-00-00 00:00:00'),(72,'2021','Journals','Machine-Deep Learning','Debarka Sengupta, Snehalika Lall, Debajyoti Sinha, Abhik Ghosh, and Sanghamitra Bandyopadhyay, \"Stable feature selection using copula based mutual information\", in Pergamon Pattern Recognition, Vol 112, Article107697, 2021.','2','2022-03-25 11:56:40','0000-00-00 00:00:00'),(73,'2021','Journals','Machine-Deep Learning','Debarka Sengupta, Prashant Gupta, and Aashi Jindal, \"Linear time identification of local and global outliers\", in Elsevier Neurocomputing, Vol 429, Pages 141-150, 2021.','2','2022-03-25 11:56:59','0000-00-00 00:00:00'),(74,'2021','Journals','Healthcare Informatics','Debarka Sengupta, Krishan Gupta, Sanjay Kumar Mohanty, Aayushi Mittal, Siddhant Kalra, Suvendu Kumar, Tripti Mishra, Jatin Ahuja, and Gaurav Ahuja, \"The Cellular basis of loss of smell in 2019-nCoV-infected individuals\", in Oxford University Press Briefings in bioinformation Vol 22(2), Page 873-881, 2021.','2','2022-03-25 11:57:30','0000-00-00 00:00:00'),(75,'2021','Journals','Healthcare Informatics','Debarka Sengupta, Krishan Gupta, Kirti Balyan, Bhumika Lamba, Manju Puri, and Manisha Kumar, \"Ultrasound placental image texture analysis using artificial intelligence to predict hypertension in pregnancy\", in Taylor & Francis The Journal of Maternal-Fetal & Neonatal Medicine, Page 1-8, 2021.','2','2022-03-25 11:57:46','0000-00-00 00:00:00'),(76,'2021','Journals','Healthcare Informatics','Debarka Sengupta,Anku Gupta, Mohit Choudhary, Sanjay Kumar Mohanty, Aayushi Mittal, Krishan Gupta, Aditya Arya, Suvendu Kumar, Nikhil Katyayan, Nilesh Kumar Dixit, Siddhant Kalra, Manshi Goel, Megha Sahni, Vrinda Singhal, Tripti Mishra, and Gaurav Ahuja, \"Machine-OlF-Action: a unified framework for developing and interpreting machine-learning models for chemosensory research\", in Oxford Academic Bioinformatics, Vol 37(12), Page1769-1771, 2021.','2','2022-03-25 11:58:16','0000-00-00 00:00:00'),(77,'2021','Journals','Healthcare Informatics','Debarka Sengupta et al., \"Recent smell loss is the best predictor of COVID-19 among individuals with recent respiratory symptoms\", in Oxford Academic Chemical Senses, Vol 46, 2021.','2','2022-03-25 11:58:30','0000-00-00 00:00:00'),(78,'2021','Journals','Mobile Systems and Applications','Jainendra Shukla, Dhruv Verma, Sejal Bhalla, Dhruv Sahnan, and Aman Parnami, \"ExpressEar: Sensing Fine-Grained Facial Expressions with Earables\" in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol 5(3), Page 1-28, 2021.','2','2022-03-25 11:58:59','0000-00-00 00:00:00'),(79,'2022','Journals','NLP','Md Shad Akhtar, Shivani Kumar, Anubhav Shrimal, and Tanmoy Chakraborty, \"Discovering emotion and reasoning its flip in multi-party conversations using masked memory network and transformer\", in Elsevier Knowledge-Based Systems, Article 108112, 2022.','2','2022-03-25 11:59:14','0000-00-00 00:00:00'),(80,'2021','Journals','NLP','Rahul Purandare Nikita Mehrotra, Navdha Agarwal, Piyush Gupta, Saket Anand, and David Lo, \"Modeling functional similarity in source code with graph-based Siamese networks\", in IEEE Transactions on Software Engineering, 2021.','2','2022-03-25 11:59:26','0000-00-00 00:00:00'),(81,'2021','Journals','Data Mining','Rahul Purandare, Devika Sondhi, Mayank Jobanputra, Divya Rani, Salil Purandare, and Sakshi Sharma, \"Mining Similar Methods for Test Adaptation\", in IEEE Transactions on Software Engineering, 2021.','2','2022-03-25 12:00:12','0000-00-00 00:00:00'),(82,'2021','Journals','NLP','Tanmoy Chakraborty, Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma, and Biswadeep Sen, \"QUINT: Node embedding using network hashing\", in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.','2','2022-03-25 12:00:32','0000-00-00 00:00:00'),(83,'2021','Journals','Knowledge Graphs','Tanmoy Chakraborty, Shravika Mittal, and Siddharth Pal, \"Dynamics of node influence in network growth models\", in North-Holland Physica A: Statistical Mechanics and its Application, Vol 589, Article 126520, 2021.','2','2022-03-25 12:01:24','0000-00-00 00:00:00'),(84,'2021','Journals','NLP','Tanmoy Chakraborty, \"Detecting and Analyzing Collusive Entities on YouTube\", in ACM Transactions on Intelligent Systems and Technology (TIST), 2021.','2','2022-03-25 12:01:49','0000-00-00 00:00:00'),(85,'2021','Journals','NLP','Tanmoy Chakraborty, \"Detecting and Analyzing Collusive Entities on YouTube\", in ACM Transactions on Intelligent Systems and Technology (TIST), 2021.','2','2022-03-25 12:02:14','0000-00-00 00:00:00'),(86,'2021','Journals','NLP','Tanmoy Chakraborty, Manjot Bedi, Shivani Kumar, and Md Shad Akhtar, \"Multi-modal sarcasm detection and humor classification in code-mixed conversations\", in IEEE Transactions on Affective Computing, 2021.','2','2022-03-25 12:02:28','0000-00-00 00:00:00'),(87,'2021','Journals','NLP','Tanmoy Chakraborty, Yash Kumar Atri, Shraman Pramanick and Vikram Goyal, \"See, hear, read: Leveraging multimodality with guided attention for abstractive text summarization\", in Elsevier Knowledge-Based Systems, Vol 227, Article 107152, 2021.','2','2022-03-25 12:02:49','0000-00-00 00:00:00'),(88,'2021','Journals','NLP','Tanmoy Chakraborty, Yash Kumar Atri, Shraman Pramanick and Vikram Goyal, \"See, hear, read: Leveraging multimodality with guided attention for abstractive text summarization\", in Elsevier Knowledge-Based Systems, Vol 227, Article 107152, 2021.','2','2022-03-25 12:03:00','0000-00-00 00:00:00'),(89,'2021','Journals','NLP','Tanmoy Chakraborty, Kaiqiang Yu, Cheng Long, and P Deepak, \"On Efficient Large Maximal Biplex Discovery\", in IEEE Transactions on Knowledge and Data Engineering, 2021.','2','2022-03-25 12:03:17','0000-00-00 00:00:00'),(90,'2021','Journals','NLP','Tanmoy Chakraborty, Suraj Pandey and Md Shad Akhtar, \"Syntactically Coherent Text Augmentation for Sequence Classification\", in IEEE Transactions on Computational Social Systems, Vol 8(6), Page 1323-1332, 2021.','2','2022-03-25 12:03:33','0000-00-00 00:00:00'),(91,'2021','Journals','NLP','TanmoyChakraborty, William Scott Paka, Rachit Bansal, Abhay Kaushik, and Shubhashis Sengupta, \"Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection\", in Elsevier Applied Soft Computing, Vol 107, 2021.','2','2022-03-25 12:03:54','0000-00-00 00:00:00'),(92,'2021','Journals','NLP','Tanmoy Chakraborty, Shravika Mittal, and Debarka Sengupta, \"Hide and seek: outwitting community detection algorithms\", in IEEE Transactions on Computational Social Systems, Vol8(4), Pages 799-808, 2021.','2','2022-03-25 12:04:10','0000-00-00 00:00:00'),(93,'2021','Journals','NLP','Tanmoy Chakraborty, Ayan Sengupta, Sourabh Kumar Bhattacharjee, and Md Shad Akhtar, \"Does aggression lead to hate? Detecting and reasoning offensive traits in hinglish code-mixed texts\", in Elsevier Neurocomputing, 2021.','2','2022-03-25 12:04:28','0000-00-00 00:00:00'),(94,'2021','Conferences','Biomedical Signal Processing','Anubha Gupta, and Shiv Gehlot, \"Self-supervision Based Dual-Transformation Learning for Stain Normalization, Classification and Segmentation\", in Springer International Workshop on Machine Learning in Medical Imaging, Strasbourg, France, 2021.','2','2022-03-25 12:04:50','0000-00-00 00:00:00'),(95,'2021','Conferences','Wireless Sensor Networks','Sanjit Krishnan Kaul, Tanya Shreedhar, and Roy D Yates \"An Empirical Study of Ageing in the Cloud\", in IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Vancouver, BC, Canada, 2021.','2','2022-03-25 12:05:29','0000-00-00 00:00:00'),(96,'2020','Journals','Machine-Deep Learning','Singhal V, Majumdar A. A domain adaptation approach to solve inverse problems in imaging via coupled deep dictionary learning. Pattern Recognition. 2020 Apr 1','2','2022-05-06 08:23:30','0000-00-00 00:00:00'),(97,'2020','Journals','Knowledge Graphs','Mongia A, Majumdar A. Drug-target interaction prediction using Multi Graph Regularized Nuclear Norm Minimization. Plos one. 2020 Jan 16;15','2','2022-05-06 09:07:04','0000-00-00 00:00:00'),(98,'2020','Journals','Machine-Deep Learning','Singhal V, Majumdar A. Reconstructing Multi-echo Magnetic Resonance Images via Structured Deep Dictionary Learning. Neurocomputing. 2020 Mar 14.','2','2022-05-06 09:09:24','0000-00-00 00:00:00'),(99,'2020','Journals','Machine-Deep Learning','Mongia A, Sengupta D, Majumdar A. deepmc: Deep matrix completion for imputation of single-cell rna-seq data. Journal of Computational Biology. 2020 Jul 1;27(7):1011-9.','2','2022-05-06 09:10:53','0000-00-00 00:00:00'),(100,'2020','Journals','Biomedical Signal Processing','Iyer A, Gupta K, Sharma S, Hari K, Lee YF, Ramalingam N, Yap YS, West J, Bhagat AA, Subramani BV, Sabuwala B. Integrative analysis and machine learning based characterization of single circulating tumor cells. Journal of clinical medicine. 2020 Apr;9(4):1206.','2','2022-05-06 09:11:35','0000-00-00 00:00:00'),(101,'2020','Journals','Biometrics and Forensics','Gupta K, Mohanty S. K, Kalra S, Mittal A, Mishra T, Ahuja J, Sengupta D*, Ahuja, G*. The molecular basis of loss of smell in 2019-nCoV infected individuals. Briefings in Bioinformatics, 2020.','2','2022-05-06 09:13:32','0000-00-00 00:00:00'),(102,'2020','Journals','Biometrics and Forensics','Kalra S, Mittal A, Bajoria M, Mishra T, Maryam S, Sengupta D, Ahuja G. Challenges and possible solutions for decoding extranasal olfactory receptors. The FEBS Journal. 2020 Oct 21.','2','2022-05-06 09:14:13','0000-00-00 00:00:00'),(103,'2020','Journals','Biomedical Signal Processing','Rai P, Sengupta D, Majumdar A. SelfE: Gene Selection via Self-Expression for Single-Cell Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2020 May 25.','2','2022-05-06 09:16:55','0000-00-00 00:00:00'),(104,'2020','Journals','Biomedical Signal Processing','Farswan A, Gupta A, Gupta R, Kaur G. Imputation of gene expression data in blood cancer and its significance in inferring biological pathways. Frontiers in oncology. 2020 Jan 8;9:1442.','2','2022-05-06 09:18:20','0000-00-00 00:00:00'),(105,'2020','Journals','Biomedical Signal Processing','Gehlot S, Gupta A, Gupta R. SDCT-AuxNetθ: DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis. Medical Image Analysis. 2020 Apr 1;61:101661.','2','2022-05-06 09:19:10','0000-00-00 00:00:00'),(106,'2020','Journals','Biomedical Signal Processing','Kaur G, Ruhela V, Rani L, Gupta A, Sriram K, Gogia A, Sharma A, Kumar L, Gupta R. RNA-Seq profiling of deregulated miRs in CLL and their impact on clinical outcome. Blood cancer journal. 2020 Jan 13;10(1):1-9.','2','2022-05-06 09:20:35','0000-00-00 00:00:00'),(107,'2020','Journals','Computer Vision','Jain A, Goel P, Aggarwal S, Fell A, Anand S. Symmetric k-means for Deep Neural Network Compression and Hardware Acceleration on FPGAs. IEEE Journal of Selected Topics in Signal Processing. 2020 Jan 22.','2','2022-05-06 09:22:43','0000-00-00 00:00:00'),(108,'2020','Journals','Software Security','Arora U, Dutta HS, Joshi B, Chetan A, Chakraborty T. Analyzing and Detecting Collusive Users Involved in Blackmarket Retweeting Activities. ACM Transactions on Intelligent Systems and Technology (TIST). 2020 Apr 18;11(3):1-24.','2','2022-05-06 09:24:56','0000-00-00 00:00:00'),(109,'2020','Journals','Mobile Systems and Applications','Dutta HS, Dutta VR, Adhikary A, Chakraborty T. HawkesEye: Detecting fake retweeters using Hawkes process and topic modeling. IEEE Transactions on Information Forensics and Security. 2020 Jan 30;15:2667-78.','2','2022-05-06 09:26:08','0000-00-00 00:00:00'),(110,'2020','Journals','Mobile Systems and Applications','Gupta V, Aggarwal A, Chakraborty T. Detecting and Characterizing Extremist Reviewer Groups in Online Product Reviews. IEEE Transactions on Computational Social Systems. 2020 May 4.','2','2022-05-06 09:27:53','0000-00-00 00:00:00'),(111,'2020','Journals','Biomedical Signal Processing','Mehra J, Kumar V, Srivastava P, Sethi T. lncRNA Mediated Hijacking of T-cell Hypoxia Response Pathway by Mycobacterium Tuberculosis Predicts Latent to Active Progression in Humans. bioRxiv. 2020 Jan 1.','2','2022-05-06 09:30:41','0000-00-00 00:00:00'),(112,'2020','Journals','Healthcare Informatics','Pandey R, Gautam V, Bhagat K, Sethi T. A machine learning application for raising wash awareness in the times of covid-19 pandemic. arXiv preprint arXiv:2003.07074. 2020 Mar 16.','2','2022-05-06 09:31:37','0000-00-00 00:00:00'),(113,'2020','Journals','Mobile Systems and Applications','Awasthi R, Pal R, Singh P, Nagori A, Reddy S, Gulati A, Kumaraguru P, Sethi T. CovidNLP: A Web Application for Distilling Systemic Implications of COVID-19 Pandemic with Natural Language Processing. medRxiv. 2020.','2','2022-05-06 09:32:12','0000-00-00 00:00:00'),(114,'2020','Conferences','Healthcare Informatics','Itzhak N, Nagori A, Lior E, Schvetz M, Lodha R, Sethi T, Moskovitch R. Acute Hypertensive Episodes Prediction. In International Conference on Artificial Intelligence in Medicine 2020 Aug 25 (pp. 392-402). Springer, Cham.','2','2022-05-06 09:43:58','0000-00-00 00:00:00'),(115,'2020','Journals','Wireless Sensor Networks','Chakraborty T, Park N, Agarwal A, Subrahmanian VS. Ensemble Detection and Analysis of Communities in Complex Networks. ACM Transactions on Data Science. 2020 Mar 12;1(1):1-34.','2','2022-05-06 09:54:33','0000-00-00 00:00:00'),(116,'2020','Journals','Speech-Audio Processing','Dutta S, Das D, Chakraborty T. Changing views: Persuasion modeling and argument extraction from online discussions. Information Processing & Management. 2020 Mar 1;57(2):102085.','2','2022-05-06 09:55:53','0000-00-00 00:00:00'),(117,'2020','Journals','Image processing','Gupta A, Duggal R, Gehlot S, Gupta R, Mangal A, Kumar L, Thakkar N, Satpathy D. GCTI-SN: geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images. Medical Image Analysis. 2020 Oct 1;65:101788.','2','2022-05-06 09:56:32','0000-00-00 00:00:00'),(118,'2020','Journals','Speech-Audio Processing','Sareen E, Singh L, Varkey B, Achary K, Gupta A. EEG dataset of individuals with intellectual and developmental disorder and healthy controls under rest and music stimuli. Data in Brief. 2020 Apr 7:105488.','2','2022-05-06 10:00:56','0000-00-00 00:00:00'),(119,'2020','Journals','Machine-Deep Learning','Sharma A, Anand S, Kaul SK. Intelligent Querying for Target Tracking in Camera Networks using Deep Q-Learning with n-Step Bootstrapping. arXiv preprint arXiv:2004.09632. 2020 Apr 20.','2','2022-05-06 10:03:39','0000-00-00 00:00:00'),(120,'2020','Conferences','Computer Vision','Jerripothula KR, Rai A, Garg K, Rautela YS. Feature-level rating system using customer reviews and review votes. IEEE Transactions on Computational Social Systems. 2020 Jul 31;7(5):1210-9.','2','2022-05-06 10:21:12','0000-00-00 00:00:00'),(121,'2020','Journals','Data Mining','Ramneek Kaur, Vikram Goyal, Venkata M. V. Gunturi, Finding The Most Navigable Path in Road Networks, accepted in Springer journal of GeoInformatica, 2020.','2','2022-05-06 10:23:18','0000-00-00 00:00:00'),(122,'2020','Journals','Data Mining','Amit Verma, Siddharth Dawar, Raman Kumar, Shamkant Navathe, Vikram Goyal, High Utility and Diverse Itemset Mining, accepted in Springer Journal of Applied Intelligence, 2020.','2','2022-05-06 10:24:11','0000-00-00 00:00:00'),(123,'2020','Journals','Machine-Deep Learning','Dawman L, Mukherjee A, Sethi T, Agrawal A, Kabra SK, Lodha R. Role of impulse oscillometry in assessing asthma control in children. Indian Pediatrics. 2020 Feb;57(2):119-23.','2','2022-05-06 10:29:36','0000-00-00 00:00:00'),(124,'2020','Conferences','Healthcare Informatics','Shubham Goswami, Suril Mehta, Dhruv Sahrawat, Anubha Gupta, Ritu and Gupta, “Heterogeneity Loss to Handle Intersubject and Intrasubject Variability in Cancer,†ICLR workshop on Affordable AI in healthcare, 2020.','2','2022-05-06 10:30:16','0000-00-00 00:00:00'),(125,'2020','Conferences','Biometrics and Forensics','Neha Jain, Navneet Anand Sah, Vivek Ashok Bohara and Anubha Gupta, \"Experimental Results for Energy Harvesting by exploiting inherent inadequacies of Sampling process for IoT application\", IEEE International Conference on Communications (ICC), Workshop, 2020.','2','2022-05-06 10:32:56','0000-00-00 00:00:00'),(126,'2020','Conferences','Biomedical Signal Processing','Mansi Saxena, Ekansh Sareen and Anubha Gupta, \"Understanding Functional Brain Activation using Source Localization of EEG Signals in Motor Imagery Tasks,\" IEEE 12th International Conference on Communication Systems and Networks, 2020. (This paper also won the \"Best Paper Award\". )','2','2022-05-06 10:34:02','0000-00-00 00:00:00'),(127,'2020','Conferences','Speech-Audio Processing','Yaman Kumar, Dhruva Sahrawat, Shubham Maheshwari, Debanjan Mahata, Amanda Stent, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann, “Harnessing GANs for Zero-shot Learning of New Classes in Visual Speech Recognition.†In AAAI, 2020.','2','2022-05-06 10:35:21','0000-00-00 00:00:00'),(128,'2020','Conferences','Biomedical Signal Processing','Syesha Girdher, Anubha Gupta, Snehlata Jaswal and Vinayak Naik, \"Predicting Human Response in Feature Binding Experiment Using EEG Data,\" IEEE 12th International Conference on Communication Systems and Networks, 2020.','2','2022-05-06 10:36:01','0000-00-00 00:00:00'),(129,'2020','Conferences','Mobile Systems and Applications','Ankur Pandey, Saru Brar, Inshita Mutreja, and Pushpendra Singh, “Exploring Automated Q&A Support System for Maternal and Child Health in Rural Indiaâ€, Accepted to be published as a poster (2 pages) in Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies, ACM COMPASS’ 2020.','2','2022-05-06 10:38:06','0000-00-00 00:00:00'),(130,'2020','Conferences','Wireless Sensor Networks','S. K. Kaul and R. D. Yates, \"Timely Updates By Multiple Sources: The M/M/1 Queue Revisited,\" 54th Annual Conference on Information Sciences and Systems (CISS), 2020.','2','2022-05-06 10:42:34','0000-00-00 00:00:00'),(131,'2020','Conferences','Biomedical Signal Processing','Ashutosh Vaish, Anubha Gupta and Ajit Rajwade, \"MSR-HARDI: Accelerated Reconstruction of HARDI using Multiple Sparsity Regularizers\", IEEE International Conference on Image Processing (ICIP), 2020.','2','2022-05-06 10:43:50','0000-00-00 00:00:00'),(132,'2020','Conferences','Biomedical Signal Processing','Shiv Gehlot, Anubha Gupta and Ritu Gupta, \"EDNFC-Net: Convolutional Neural Network with Nested Feature Concatenation for Nuclei-Instance Segmentation,\" IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.','2','2022-05-06 10:46:21','0000-00-00 00:00:00'),(133,'2020','Conferences','Machine-Deep Learning','S. Agarwal, H. Arora, S. Anand, C. Arora, \"Contextual Diversity for Active Learning\", European Conference on Computer Vision (ECCV), 2020.','2','2022-05-06 10:47:21','0000-00-00 00:00:00'),(134,'2020','Conferences','Computer Vision','L. Tiwari, P. Ji, Q. Tran, B. Zhuang, S. Anand, M. Chandraker, \"Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction\", accepted, European Conference on Computer Vision (ECCV), 2020.','2','2022-05-06 10:48:15','0000-00-00 00:00:00'),(135,'2020','Conferences','Data Mining','Aman Roy, Vinayak Kumar, Debdoot Mukherjee, Tanmoy Chakraborty. Learning Multigraph Node Embeddings Using Guided Levy Flights, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2020. (Core A)','2','2022-05-06 10:48:53','0000-00-00 00:00:00'),(136,'2020','Conferences','Wireless Sensor Networks','E. Kurnat-Thoma, …, T. Sethi, et. al, “Recent Advances in Systems and Network Medicine: Meeting Report from the First International Conference in Systems and Network Medicine,†Systems Medicine, 2020.','2','2022-05-06 10:50:38','0000-00-00 00:00:00'),(137,'2020','Conferences','Software Security','Piyush Gupta, Nikita Mehrotra, and Rahul Purandare. \"JCoffee: Using Compiler Feedback to Make Partial Code Snippets Compilable.\" In Proceedings of the 36th IEEE International Conference on Software Maintenance and Evolution (ICSME), Tools Demo Track, 2020.','2','2022-05-06 10:52:01','0000-00-00 00:00:00'),(138,'2020','Conferences','Computer Vision','E. Bondi, R. Jain, P. Aggrawal, S. Anand, R. Hannaford, A. Kapoor, J. Piavis, S. Shah, L. Joppa, B. Dilkina and M. Tambe, \"BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos\", IEEE Winter Conference on Computer Vision (WACV), 2020.','2','2022-05-06 10:52:22','0000-00-00 00:00:00'),(139,'2020','Conferences','Data Mining','Dattatreya Mohapatra, Siddharth Pal, Soham De, Ponnurangam Kumaraguru, Tanmoy Chakraborty, Modeling Citation Trajectories of Scientific Papers, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2020. (Core A)','2','2022-05-06 10:53:04','0000-00-00 00:00:00'),(140,'2020','Conferences','Machine-Deep Learning','Gunjan Singh, Sumit Bhatia, Raghava Mutharaju. \"OWL2Bench: A Benchmark for OWL 2 Reasoners\", 19th International Semantic Web Conference (ISWC), 2020.','2','2022-05-06 10:54:09','0000-00-00 00:00:00'),(141,'2020','Conferences','Data Mining','A. Sharma, G. Gupta, Ranjitha Prasad, A. Chatterjee, L. Vig, and G. Shroff, “Hi-CI: Deep Causal Inference in High Dimensionsâ€, ACM SIGKDD Causal Discovery 2020 (PMLR).','2','2022-05-06 10:54:49','0000-00-00 00:00:00'),(142,'2020','Conferences','Data Mining','G. Singh, S. Bhatia, and R. Mutharaju, “A Benchmark for OWL 2 DL Reasoners,†7th ACM IKDD CoDS and 25th COMAD (CoDS-COMAD), 2020,','2','2022-05-06 10:55:50','0000-00-00 00:00:00'),(143,'2020','Conferences','Data Mining','M. Jain, P. Mirza, and R. Mutharaju, “Cardinality Extraction from Text for Ontology Learning,†7th ACM IKDD CoDS and 25th COMAD (CoDSCOMAD), 2020.','2','2022-05-06 10:56:15','0000-00-00 00:00:00'),(144,'2020','Conferences','Speech-Audio Processing','Shrinidhi Hegde, Ranjitha Prasad, Ramya Hebbalaguppe, Vishwajeet Kumar, “Variational Student: Learning Compact and Sparser networks in the Knowledge Distillation Frameworkâ€,EEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.','2','2022-05-06 10:56:57','0000-00-00 00:00:00'),(145,'2020','Conferences','Wireless Sensor Networks','A. Sharma, G. Gupta, Ranjitha Prasad, A. Chatterjee, L. Vig, and G. Shroff, ‘MultiMBNN:Matched and Balanced Causal Inference with Neural Networksâ€, ESANN, 2020','2','2022-05-06 10:57:27','0000-00-00 00:00:00'),(146,'2020','Conferences','Data Mining','Sachin K, G. Gupta, Ranjitha Prasad, A. Chatterjee, L. Vig, and G. Shroff, \"CAMTA: Causal Attention Model for Multi-touch Attribution\", DMS Workshop, In the 20th IEEE International Conference on Data Mining (ICDM), 2020.','2','2022-05-06 10:57:44','0000-00-00 00:00:00'),(147,'2020','Conferences','Biomedical Signal Processing','Daksh Goyal, Koteswar Rao Jerripothula, and Ankush Mittal, \"Detection of Gait Abnormalities caused by Neurological Disorders,\" in IEEE Workshop on Multimedia Signal Processing (MMSP), 2020.','2','2022-05-06 10:58:07','0000-00-00 00:00:00'),(148,'2020','Conferences','Biomedical Signal Processing','Rupam Patir, Shubham Singhal, C. Anantram, Vikram Goyal, Interpretability of Blackbox ML Models through data-view Extraction and Shadow Model creation, In 27th International Conference on Neural Information Processing (ICONIP), 2020.','2','2022-05-06 10:58:37','0000-00-00 00:00:00'),(149,'2019','Journals','Wireless Sensor Networks','Majumdar A, Gupta M. Recurrent transform learning. Neural Networks. 2019 Oct 1;118:271-9.','2','2022-05-06 10:59:10','0000-00-00 00:00:00'),(150,'2019','Journals','Biometrics and Forensics','Kalra S, Mittal A, Gupta K, Singhal V, Gupta A, Mishra T, Naidu S, Sengupta D*, and Ahuja, G*, Integrative analysis of single-cell transcriptomes links cellular enrichment of olfactory receptors with cancer cell differentiation and molecular prognosis. Communications Biology.','2','2022-05-06 10:59:54','0000-00-00 00:00:00'),(151,'2019','Journals','Data Mining','Sinha D, Sinha P, Saha R, Bandyopadhyay S, Sengupta D. Improved dropClust R package with integrative analysis support for scRNA-seq data.','2','2022-05-06 11:01:03','0000-00-00 00:00:00'),(152,'2019','Journals','Biomedical Signal Processing','Goswami C, Poonia S, Sengupta D, Kumar L. Staging System to predict the risk of relapse in Multiple Myeloma patients undergoing autologous stem cell transplantation. Frontiers in oncology. 2019;9:633.','2','2022-05-10 05:53:51','0000-00-00 00:00:00'),(153,'2019','Journals','Healthcare Informatics','Mukherjee M, Naqvi SA, Verma A, Sengupta D, Parnami A. MenstruLoss: Sensor For Menstrual Blood Loss Monitoring. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2019 Jun 21;3(2):1-21.','2','2022-05-10 07:16:32','0000-00-00 00:00:00'),(154,'2019','Journals','Healthcare Informatics','Poonia S, Chawla S, Kaushik S, Sengupta D. Pathway Informatics, 2019','2','2022-05-10 07:15:46','0000-00-00 00:00:00'),(155,'2019','Journals','Wireless Sensor Networks','Aggarwal P, Gupta A. Group-fused multivariate regression modeling for group-level brain networks. Neurocomputing. 2019 Oct 21;363:140-8.','2','2022-05-10 07:15:36','0000-00-00 00:00:00'),(156,'2019','Journals','Wireless Sensor Networks','Aggarwal P, Gupta A. Multivariate graph learning for detecting aberrant connectivity of dynamic brain networks in autism. Medical image analysis. 2019 Aug 1;56:11-25.','2','2022-05-10 05:25:17','0000-00-00 00:00:00'),(157,'2019','Journals','Biomedical Signal Processing','Ansari N, Sen Gupta A, Gupta A. Shallow water channel estimation with energy efficient transmitted signal design. The Journal of the Acoustical Society of America. 2019 May 16;145(5):2955-70.','2','2022-05-10 05:54:07','0000-00-00 00:00:00'),(158,'2019','Journals','Biomedical Signal Processing','Ansari N, Sen Gupta A, Gupta A. Shallow water channel estimation with energy efficient transmitted signal design. The Journal of the Acoustical Society of America. 2019 May 16;145(5):2955-70.','2','2022-05-10 05:25:27','0000-00-00 00:00:00'),(159,'2019','Journals','Biomedical Signal Processing','Panwar S, Joshi SD, Gupta A, Agarwal P. Automated Epilepsy Diagnosis Using EEG With Test Set Evaluation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2019 May 3;27(6):1106-16.','2','2022-05-10 07:12:24','0000-00-00 00:00:00'),(160,'2019','Journals','Speech-Audio Processing','Bhavan A, Chauhan P, Shah RR. Bagged support vector machines for emotion recognition from speech. Knowledge-Based Systems. 2019 Nov 15;184:104886.','2','2022-05-10 07:14:54','0000-00-00 00:00:00'),(161,'2019','Journals','Biometrics and Forensics','Dutta HS, Chakraborty T. Blackmarket-Driven Collusion Among Retweeters–Analysis, Detection, and Characterization. IEEE Transactions on Information Forensics and Security. 2019 Nov 13;15:1935-44.','2','2022-05-10 07:15:01','0000-00-00 00:00:00'),(162,'2019','Journals','Data Mining','Thukral D, Pandey A, Gupta R, Goyal V, Chakraborty T. DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services. ACM Transactions on Intelligent Systems and Technology (TIST). 2019 Jul 24;10(4):1-27.','2','2022-05-10 07:19:34','0000-00-00 00:00:00'),(163,'2019','Journals','Knowledge Graphs','Cui Z, Park N, Chakraborty T. Incremental community discovery via latent network representation and probabilistic inference. Knowledge and Information Systems. 2019 Nov 15:1-20.','2','2022-05-10 07:20:01','0000-00-00 00:00:00'),(164,'2019','Journals','Healthcare Informatics','Solomon RS, Srinivas PY, Das A, Gamback B, Chakraborty T. Understanding the psycho-sociological facets of homophily in social network communities. IEEE Computational Intelligence Magazine. 2019 May 6;14(2):28-40.','2','2022-05-10 07:21:32','0000-00-00 00:00:00'),(165,'2019','Journals','Healthcare Informatics','A. Agarwal, R. Keshari, M. Wadhwa, M. Vijh, C. Parmar, R. Singh, M. Vatsa, Iris sensor identification in multi-camera environment, Information Fusion, Volume 45, pp. 333-345, 2019.','2','2022-05-10 07:23:14','0000-00-00 00:00:00'),(166,'2019','Journals','Knowledge Graphs','T. Chakraborty, S. Ghosh, N. Park, Ensemble-based overlapping community detection using disjoint community structures, Knowledge-Based Systems, Volume 163, pp. 241-251, 2019.','2','2022-05-10 07:24:29','0000-00-00 00:00:00'),(167,'2019','Journals','NLP','J. Maggu, H. K. Aggarwal, A. Majumdar, Label-Consistent Transform Learning for Hyperspectral Image Classification, IEEE Geoscience and Remote Sensing Letters, 2019.','2','2022-05-10 07:27:47','0000-00-00 00:00:00'),(168,'2019','Journals','Biometrics and Forensics','M. Singh, R. Singh, M. Vatsa, N. Ratha, R. Chellappa, Recognizing Disguised Faces in the Wild, IEEE Transactions on Biometrics, Behavior, and Identity Science, 2019.','2','2022-05-10 07:28:09','0000-00-00 00:00:00'),(169,'2019','Journals','Machine-Deep Learning','G. Goswami, A. Agarwal, N. Ratha, R. Singh, M. Vatsa, Detecting and Mitigating Adversarial Perturbations for Robust Face Recognition, In International Journal of Computer Vision (IJCV), Special Issue on Deep Learning for Face Analysis, 2019.','2','2022-05-10 07:28:37','0000-00-00 00:00:00'),(170,'2019','Journals','Image processing','N. Kohli, D. Yadav, M. Vatsa, R. Singh, A. Noore, Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos, IEEE Transactions on Image Processing, Volume 28, No. 3, pp. 1329-1341, 2019.','2','2022-05-10 07:29:22','0000-00-00 00:00:00'),(171,'2019','Journals','Biometrics and Forensics','M. Singh, R. Singh, A. Ross, A Comprehensive Overview of Biometric Fusion, Information Fusion, Volume 52, pp. 187-205, 2019.','2','2022-05-10 07:29:47','0000-00-00 00:00:00'),(172,'2019','Conferences','Machine-Deep Learning','V. Singhal, A. Majumdar, M. Vatsa and R. Singh, “Siamese Deep Dictionary Learningâ€, IEEE International Joint Conference on Neural Networks (IJCNN), 2019 (CORE A; Oral).','2','2022-05-10 07:32:16','0000-00-00 00:00:00'),(173,'2019','Conferences','Machine-Deep Learning','V. Singhal and A. Majumdar, “Age and Gender Estimation via Deep Dictionary Learning Regressionâ€, IEEE International Joint Conference on Neural Networks (IJCNN), 2019 (CORE A; Oral).','2','2022-05-10 07:33:15','0000-00-00 00:00:00'),(174,'2019','Conferences','Machine-Deep Learning','J. Maggu and A. Majumdar, “Supervised Kernel Transform Learningâ€, IEEE International Joint Conference on Neural Networks (IJCNN), 2019 (CORE A; Oral).','2','2022-05-10 07:34:51','0000-00-00 00:00:00'),(175,'2019','Conferences','Speech-Audio Processing','Mongia, V. Jain, E. Chouzenoux and A. Majumdar, “Deep Latent Factor Model for Predicting Drug Target Interactionsâ€, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 (Poster).','2','2022-05-10 07:35:43','0000-00-00 00:00:00'),(176,'2019','Conferences','Speech-Audio Processing','S. Singh, S. Verma and A. Majumdar, “Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoringâ€, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8345-8349, 2019 (Oral).','2','2022-05-10 07:36:52','0000-00-00 00:00:00'),(177,'2019','Conferences','Biomedical Signal Processing','Mukherjee, M., Naqvi, S. A., Verma, A., Sengupta, D., & Parnami, A, MenstruLoss: Sensor For Menstrual Blood Loss Monitoring. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2019.','2','2022-05-10 07:37:52','0000-00-00 00:00:00'),(178,'2019','Conferences','Wireless Sensor Networks','Garvita Bajaj and Pushpendra Singh, “Evaluating the Impact of Battery Usage Patterns on Performance of Task Allocation Algorithms in Sparse Mobile Crowdsensingâ€, The 22nd ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, (ACM MSWIM), 2019. (CORE RANK A).','2','2022-05-10 07:39:01','0000-00-00 00:00:00'),(179,'2019','Conferences','Speech-Audio Processing','Yifang Yin, Meng-Jiun Chiou, Zhenguang Liu, Harsh Shrivastava, Rajiv Ratn Shah and Roger Zimmermann, “Multi-Level Fusion based Class-aware Attention Model for Weakly Labeled Audio Tagging.†In ACM Multimedia. 2019.','2','2022-05-10 07:40:39','0000-00-00 00:00:00'),(180,'2019','Journals','Machine-Deep Learning','Harsh Shrivastava, Rama Krishna P V N S, Karmanya Aggarwal, Meghna P Ayyar, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann, “Robust and Scalable Face Retrieval Framework for Large-scale Databases.†In IEEE BigMM, 2019.','2','2022-05-10 07:42:24','0000-00-00 00:00:00'),(181,'2019','Conferences','Machine-Deep Learning','Sharan Pai, Nikhil Sachdeva, Rajiv Ratn Shah, Roger Zimmermann, “User Input based Style Transfer while Retaining Facial Attributes.†In IEEE BigMM, 2019.','2','2022-05-10 07:42:58','0000-00-00 00:00:00'),(182,'2019','Conferences','Machine-Deep Learning','Maitree Leekha, Mononito Goswami, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann, “Are you paying attention? Detecting Distracted Driving in Real-time.†In IEEE BigMM, 2019.','2','2022-05-10 07:44:11','0000-00-00 00:00:00'),(183,'2019','Conferences','Machine-Deep Learning','Shivangi Singhal, Rajiv Shah, Tanmoy Chakraborty, Ponnurangam Kumaraguru, Shin’ichi Satoh, “SPOTFAKE: A Multimodal Framework for Fake News Detection.†In IEEE BigMM, 2019.','2','2022-05-10 07:46:04','0000-00-00 00:00:00'),(184,'2019','Conferences','Machine-Deep Learning','Osaid Rehman Nasir, Shailesh Kumar Jha, Manraj Singh Grover, Yi Yu, Ajit Kumar, Rajiv Ratn Shah, “Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions.†In IEEE BigMM, 2019.','2','2022-05-10 07:46:45','0000-00-00 00:00:00'),(185,'2019','Conferences','Machine-Deep Learning','Himanshu Aggarwal, Rajiv Ratn Shah, Suhua Tang, Feida Zhu, “Supervised Generative Adversarial Cross-modal Hashing by Transferring Pairwise Similarities for Venue Discovery.†In IEEE BigMM, 2019.','2','2022-05-10 07:47:32','0000-00-00 00:00:00'),(186,'2019','Conferences','Knowledge Graphs','D. Sondhi and R. Purandare. “SEGATE: Unveiling Semantic Inconsistencies between Code and Specification of String Inputs.†In Proceedings of the 34th ACM/IEEE International Conference on Automated Software Engineering (ASE), 2019.','2','2022-05-10 07:50:33','0000-00-00 00:00:00'),(187,'2019','Conferences','Computer Vision','Shukla, S. Uppal, S. Bhagat, S. Anand and P. Turaga, \"PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning\", 30th British Machine Vision Conference (BMVC) 2019.','2','2022-05-10 07:51:40','0000-00-00 00:00:00'),(188,'2019','Conferences','Computer Vision','Shukla, G. S. Cheema S. Anand, Q. N. Qureshi, and Y. V. Jhala, \"Primate Face Identification in the Wild\", Pacific-Rim International Conference on Artificial Intelligence (PRICAI), 2019.','2','2022-05-10 07:53:13','0000-00-00 00:00:00'),(189,'2019','Conferences','Computer Vision','Sharma, S. Anand and S. K. Kaul, \"Reinforcement Learning Based Querying in Camera Networks for Efficient Target Tracking\", International Conference on Automated Planning and Scheduling (ICAPS) 2019.','2','2022-05-10 07:54:03','0000-00-00 00:00:00'),(190,'2019','Conferences','Speech-Audio Processing','S. Gopal, S. K. Kaul and R. Chaturvedi, \"Coexistence of Age and Throughput Optimizing Networks: A Game Theoretic Approach,\" IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2019.','2','2022-05-10 08:23:31','0000-00-00 00:00:00'),(191,'2019','Conferences','Mobile Systems and Applications','T. Shreedhar, S. K. Kaul and R. D. Yates, \"An Age Control Transport Protocol for Delivering Fresh Updates in the Internet-of-Things,\" IEEE 20th International Symposium on \"A World of Wireless, Mobile and Multimedia Networks\" (WoWMoM), 2019.','2','2022-05-10 08:24:13','0000-00-00 00:00:00'),(192,'2019','Conferences','Healthcare Informatics','S. Banik, S. K. Kaul and P. B. Sujit, \"Minimizing Age in Gateway Based Update Systems,\" IEEE International Symposium on Information Theory (ISIT), 2019.','2','2022-05-10 08:27:24','0000-00-00 00:00:00'),(193,'2019','Conferences','Data Mining','Sharma, A., Anand, S. and Kaul, S.K., “Reinforcement Learning Based Querying in Camera Networks for Efficient Target Tracking,†In Proceedings of the International Conference on Automated Planning and Scheduling, 2019.','2','2022-05-10 08:28:00','0000-00-00 00:00:00'),(194,'2019','Conferences','NLP','Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty. Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory, 19th IEEE International Conference on Data Mining (ICDM), 2019. (Core A*).','2','2022-05-10 08:29:34','0000-00-00 00:00:00'),(195,'2019','Conferences','Data Mining','Subhabrata Dutta, Gunkirat Kaur, Shreyans Mongia, Arpan Mukherjee, Dipankar Das, Tanmoy Chakraborty. Into the Battlefield: Quantifying and Modeling Intra-community Conflicts in Online Discussion, 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019. (Core A)','2','2022-05-10 08:30:13','0000-00-00 00:00:00'),(196,'2019','Conferences','Computer Vision','Shartika Dhawan, Siva Charan Reddy Gangireddy, Shiv Kumar, Tanmoy Chakraborty. Spotting Collective Behaviour of Online Frauds in Customer Reviews, International Joint Conference on Artificial Intelligence (IJCAI), 2019. (Core A*)','2','2022-05-10 08:30:57','0000-00-00 00:00:00'),(197,'2019','Conferences','Mobile Systems and Applications','Harish Fulara, Gursimran Singh, Dheryta Jaisinghani, Mukulika Maity, Tanmoy Chakraborty, Vinayak Naik, “Use of Machine Learning to Detect Causes of Unnecessary Active Scanning in WiFi Networks,†20th IEEE International Symposium on a World of Wireless, Mobile and Multimedia (IEEE WoWMoM), 2019. (Core A)','2','2022-05-10 08:38:20','0000-00-00 00:00:00'),(198,'2019','Conferences','Software Security','Dattatreya Mohapatra, Abhishek Maiti, Sumit Bhatia, Tanmoy Chakraborty, “Go Wide, Go Deep: Quantifying the Impact of Scientific Papers through Influence Dispersion Trees,†ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2019. (Core A*) (Best student paper award)','2','2022-05-10 08:39:01','0000-00-00 00:00:00'),(199,'2019','Conferences','Healthcare Informatics','T. Sethi*, S. Maheshwari, A. Mittal, S. Chugh, “Learning to Address Health Inequality in the United States with a Bayesian Decision Networkâ€, Proceedings of the AAAI Conference on Artificial Intelligence, 2019. *Corresponding author','2','2022-05-10 08:39:38','0000-00-00 00:00:00'),(200,'2019','Conferences','NLP','M. A. Yasvi, and R. Mutharaju, “ODPReco – A Tool to Recommend Ontology Design Patterns,†10th Workshop on Ontology Design and Patterns (WOP), co-located with the 18th International Semantic Web Conference (ISWC), 2019.','2','2022-05-10 08:40:14','0000-00-00 00:00:00'),(201,'2019','Conferences','NLP','R. K. Yadav, G. Singh, R. Mutharaju, and S. Bhatia, “Towards a Concurrent Approximate Description Logic Reasoner,†Poster & Demo track, 18th International Semantic Web Conference (ISWC), 2019. (Nominated for the best poster award).','2','2022-05-10 08:41:19','0000-00-00 00:00:00'),(202,'2019','Conferences','Data Mining','S. Chhabra, P. Majumdar, M. Vatsa, R. Singh, Data Fine-tuning, In Proceedings of AAAI Conference on Artificial Intelligence, 2019.','2','2022-05-10 08:42:15','0000-00-00 00:00:00'),(203,'2019','Conferences','NLP','R. Keshari, M. Vatsa, and R. Singh, Guided Dropout, In Proceedings of AAAI Conference on Artificial Intelligence, 2019.','2','2022-05-10 08:43:01','0000-00-00 00:00:00'),(204,'2019','Conferences','Data Mining','T. Chowdhury, T. Chakraborty, CQASUMM: Building References for Community Question Answering Summarization Corpora, In Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019.','2','2022-05-10 08:43:43','0000-00-00 00:00:00'),(205,'2019','Conferences','NLP','J. Maggu and A. Majumdar, Supervised Kernel Transform Learning, In IEEE International Joint Conference on Neural Networks (IJCNN), 2019.','2','2022-05-10 08:44:21','0000-00-00 00:00:00'),(206,'2019','Conferences','Computer Vision','S. Ghosh, R. Singh, M. Vatsa, On Learning Density Aware Embeddings, IEEE Conference on Computer Vision and Pattern Recognition , 2019.','2','2022-05-10 08:45:15','0000-00-00 00:00:00'),(207,'2019','Conferences','NLP','S. Gupta, N. Gupta, S. Ghosh, M. Singh, S. Nagpal, R. Singh, M. Vatsa, FaceSurv: A Benchmark Video Dataset for Face Detection and Recognition Across Spectra and Resolutions, IEEE International Conference on Automatic Face and Gesture Recognition, 2019.','2','2022-05-10 08:45:53','0000-00-00 00:00:00'),(208,'2019','Conferences','Wireless Sensor Networks','I. Kalra, M. Singh, S. Nagpal, R. Singh, M. Vatsa, DroneSURF: Benchmark Dataset for Drone-based Face Recognition, IEEE International Conference on Automatic Face and Gesture Recognition, 2019.','2','2022-05-10 08:46:22','0000-00-00 00:00:00'),(209,'2019','Conferences','Biometrics and Forensics','S. Mehta, A. Uberoi, A. Agarwal, M. Vatsa, R. Singh, Crafting A Panoptic Face Presentation Attack Detector, IAPR International Conference On Biometrics, 2019.','2','2022-05-10 08:47:13','0000-00-00 00:00:00'),(210,'2019','Conferences','Biometrics and Forensics','A. Agarwal, A. Sehwag, M. Vatsa, R. Singh, Deceiving the Protector: Fooling Face Presentation Attack Detection Algorithms, IAPR International Conference On Biometrics, 2019.','2','2022-05-10 08:47:56','0000-00-00 00:00:00'),(211,'2019','Conferences','Image processing','Ramya Y. S., S. Ghosh, M. Vatsa, R. Singh, Face Sketch Image Colorization via Supervised GANs, IAPR International Conference On Biometrics, 2019.','2','2022-05-10 08:48:16','0000-00-00 00:00:00'),(212,'2018','Journals','Computer Vision','T. Chakraborty, Role of Interdisciplinarity in Computer Sciences: Quantification, Impact and Life Trajectory, Scientometrics, Volume 114, No. 3, pp. 1011-1029, 2018.','2','2022-05-10 09:11:46','0000-00-00 00:00:00'),(213,'2018','Journals','NLP','M. Thammawichai, P.B. Sujit, E.C. Kerrigan, J.B. Sousa, Optimizing communication and computation for multi-UAV information gathering applications, IEEE Transactions on Aerospace Electronic Systems, Volume 54, No. 2, pp. 601-615, 2018.','2','2022-05-10 09:12:12','0000-00-00 00:00:00'),(214,'2018','Journals','Machine-Deep Learning','V. Singhal, A. Majumdar, Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning, Neural Processing Letters, Volume 47, No. 3, pp. 799-814, 2018.','2','2022-05-10 09:14:16','0000-00-00 00:00:00'),(215,'2018','Journals','Wireless Sensor Networks','M. Singh, S. Nagpal, M. Vatsa, R. Singh, Are you eligible? Predicting adulthood from face images via class specific mean autoencoder, Pattern Recognition Letters, 2018.','2','2022-05-10 09:15:15','0000-00-00 00:00:00'),(216,'2018','Journals','Wireless Sensor Networks','A. Sethi, M. Singh, R. Singh, M. Vatsa, Residual Codean Autoencoder for Facial Attribute Analysis, Pattern Recognition Letters, 2018.','2','2022-05-10 09:15:49','0000-00-00 00:00:00'),(217,'2018','Journals','Machine-Deep Learning','D. John Lewis, V. Singhal, A. Majumdar, Solving Inverse Problems in Imaging via Deep Dictionary Learning, IEEE Access, 2018.','2','2022-05-10 09:16:25','0000-00-00 00:00:00'),(218,'2018','Journals','Machine-Deep Learning','S. Singh, A. Majumdar, Deep sparse coding for non–intrusive load monitoring, IEEE Transactions on Smart Grid, Volume 9, No. 5, pp. 4669-4678, 2018.','2','2022-05-10 09:17:47','0000-00-00 00:00:00'),(219,'2018','Journals','Machine-Deep Learning','V. Singhal, J. Maggu, A. Majumdar, Simultaneous Detection of Multiple Appliances from Smart-meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning, IEEE Transactions on Smart Grid, 2018.','2','2022-05-10 09:18:16','0000-00-00 00:00:00'),(220,'2018','Journals','Speech-Audio Processing','S. Gopal, S. K. Kaul, S. Roy, Optimizing city-wide White-Fi networks in TV white spaces, IEEE Transactions on Cognitive Communications and Networking, Volume 4, No. 4, pp. 749-763, 2018.','2','2022-05-10 09:18:48','0000-00-00 00:00:00'),(221,'2018','Journals','NLP','R. D. Yates, S. K. Kaul, The age of information: Real-time status updating by multiple sources, IEEE Transactions on Information Theory, 2018.','2','2022-05-10 09:19:38','0000-00-00 00:00:00'),(222,'2018','Journals','Software Security','A. Majumdar, Graph structured autoencoder, Neural Networks, Volume 106, pp. 271-280, 2018.','2','2022-05-10 09:20:12','0000-00-00 00:00:00'),(223,'2018','Conferences','NLP','Garvita Allabadi, Aritra Dhar, Ambreen Bashir, Rahul Purandare, METIS: Resource and Context-Aware Monitoring of Finite State Properties. Runtime Verification (RV), 167-186, 2018.','2','2022-05-10 09:24:41','0000-00-00 00:00:00'),(224,'2018','Conferences','Biometrics and Forensics','A. Jain, R. Singh, M. Vatsa, On Detecting Synthetic Alterations using GANs and Retouching, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2018.','2','2022-05-10 09:25:37','0000-00-00 00:00:00'),(225,'2018','Conferences','Biometrics and Forensics','S. Suri, A. Sankaran, M. Vatsa, R. Singh, On Matching Faces with Alterations due to Plastic Surgery and Disguise, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2018.','2','2022-05-10 09:26:23','0000-00-00 00:00:00'),(226,'2018','Conferences','Biometrics and Forensics','R. Garg, Y. Baweja, S. Ghosh, M. Vatsa, R. Singh, N. Ratha, Heterogeneity Aware Deep Embedding for Mobile Periocular Recognition, In Proceedings of IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2018.','2','2022-05-10 09:26:49','0000-00-00 00:00:00'),(227,'2018','Conferences','Biometrics and Forensics','A. Goel, A. Singh, A. Agarwal, M. Vatsa, R. Singh, Smartbox: Benchmarking adversarial detection and mitigation algorithms for face recognition, IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), 2018.','2','2022-05-10 09:27:10','0000-00-00 00:00:00'),(228,'2018','Conferences','Biometrics and Forensics','A. Agarwal, R. Singh, M. Vatsa, N. Ratha, Are imageagnostic universal adversarial perturbations for face recognition difficult to detect, IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), 2018.','2','2022-05-10 09:27:51','0000-00-00 00:00:00'),(229,'2018','Conferences','Computer Vision','V. Kushwaha, M. Singh, R. Singh, M. Vatsa, N. Ratha, R. Chellappa, Disguised Faces in the Wild, IEEE International Conference on Computer Vision and Pattern Recognition Workshop on Disguised Faces in the Wild, 2018.','2','2022-05-10 09:29:18','0000-00-00 00:00:00'),(230,'2018','Conferences','Image processing','S. Siddiqui, M. Vatsa, R. Singh, Face Recognition for Newborns, Toddlers, and Pre-School Children: A Deep Learning Approach, In 24th International Conference on Pattern Recognition (ICPR), 2018.','2','2022-05-10 09:29:47','0000-00-00 00:00:00'),(231,'2018','Conferences','NLP','D. Khanna, S. Sharma, C. RodrÃguez, R. Purandare, Dynamic Symbolic Verification of MPI Programs, In International Symposium on Formal Methods, Springer, Cham, 2018.','2','2022-05-10 09:30:24','0000-00-00 00:00:00'),(232,'2018','Conferences','Healthcare Informatics','D. Yadav, N. Kohli, E. Kalsi, M. Vatsa, R. Singh, A. Noore, Unraveling Human Perception of Facial Aging using Eye Gaze, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018.','2','2022-05-10 09:30:54','0000-00-00 00:00:00'),(233,'2018','Conferences','Computer Vision','R. Keshari, M. Vatsa, R. Singh, A. Noore, Learning Structure and Strength of CNN Filters for Small Sample Size Training, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018.','2','2022-05-10 09:31:19','0000-00-00 00:00:00'),(234,'2018','Conferences','Computer Vision','M. Singh, S. Nagpal, M. Vatsa, R. Singh, A. Majumdar, Identity Aware Synthesis for Cross Resolution Face Recognition, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018.','2','2022-05-10 09:32:26','0000-00-00 00:00:00'),(235,'2018','Conferences','Computer Vision','A. Malhotra, R. Singh, M. Vatsa, V. M. Patel, Person Authentication using Head Images, In IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.','2','2022-05-10 09:32:49','0000-00-00 00:00:00'),(236,'2018','Conferences','Computer Vision','L. Tiwari, S. Anand, DGSAC: Density Guided Sampling and Consensus, In IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.','2','2022-05-10 09:33:11','0000-00-00 00:00:00'),(237,'2018','Journals','Computer Vision','A. Sobti, C. Arora, M. Balakrishnan, Object Detection in Real-Time Systems: Going Beyond Precision, IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.','2','2022-05-10 09:33:36','0000-00-00 00:00:00'),(238,'2018','Conferences','Computer Vision','S. Patra, P. Maheshwari, S. Yadav, S. Banerjee, C. Arora. A Joint 3D-2D based Method for Free Space Detection on Roads, IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.','2','2022-05-10 09:34:09','0000-00-00 00:00:00'),(239,'2018','Conferences','Computer Vision','D. Khandelwal, C. Arora, and P. Singla. Learning Higher Order Potentials For MRFs, IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.','2','2022-05-10 09:34:27','0000-00-00 00:00:00'),(240,'2018','Conferences','Computer Vision','C. Arora, V. Kwatra. Stabilizing First Person 360 Degree Videos, IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.','2','2022-05-10 09:43:38','0000-00-00 00:00:00'),(241,'2018','Conferences','NLP','S. Chhabra, R. Singh, M. Vatsa, G. Gupta, Anonymizing k-Facial Attributes via Adversarial Perturbations, In proceedings of International Joint Conference on Artificial Intelligence (IJCAI), 2018.','2','2022-05-10 09:44:13','0000-00-00 00:00:00'),(242,'2018','Conferences','Computer Vision','S. Chopra, A. Malhotra, M. Vatsa, R. Singh, Unconstrained Fingerphoto Database, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018.','2','2022-05-10 09:44:47','0000-00-00 00:00:00'),(243,'2018','Conferences','Computer Vision','P. Majumdar, S. Chhabra, R. Singh, M. Vatsa, On Detecting Domestic Abuse via Faces, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018.','2','2022-05-10 09:45:44','0000-00-00 00:00:00'),(244,'2018','Conferences','Computer Vision','S. Sinha, M. Agarwal, M. Vatsa, R. Singh, S. Anand, Exploring Bias in Primate Face Detection and Recognition, In Proceedings of European Conference on Computer Vision Workshop on Bias Estimation in Face Analytics, 2018.','2','2022-05-10 09:47:36','0000-00-00 00:00:00'),(245,'2018','Journals','Wireless Sensor Networks','H. S. Dutta, A. Chetan, B. Joshi, T. Chakraborty, Retweet us, we will retweet you: Spotting collusive retweeters involved in blackmarket services, In IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018.','2','2022-05-10 09:48:28','0000-00-00 00:00:00'),(246,'2018','Conferences','Software Security','M. Gupta, A Majumdar, Robust Supervised Sparse Coding for Non-Intrusive Load Monitoring, In IEEE International Joint Conference on Neural Networks (IJCNN), 2018.','2','2022-05-10 09:49:18','0000-00-00 00:00:00'),(247,'2018','Conferences','Wireless Sensor Networks','S. Maheshwari, A. Majumdar, Hierarchical Autoencoder for Collaborative Filtering, In IEEE International Joint Conference on Neural Networks (IJCNN), 2018.','2','2022-05-10 09:49:40','0000-00-00 00:00:00'),(248,'2018','Conferences','Wireless Sensor Networks','S. Jain, A. Majumdar, Doubly Label Consistent Autoencoder: Accounting User and Item Metadata in Recommender Systems, In IEEE International Joint Conference on Neural Networks (IJCNN), 2018.','2','2022-05-10 09:50:22','0000-00-00 00:00:00'),(249,'2018','Conferences','NLP','V. Singhal, A. Majumdar, Supervised Deep Dictionary Learning for Single Label and Multi-Label Classification, In IEEE International Joint Conference on Neural Networks (IJCNN), 2018.','2','2022-05-10 09:50:48','0000-00-00 00:00:00'),(250,'2018','Conferences','Healthcare Informatics','S. K. Kaul, R. D. Yates, R. D, Age of information: Updates with priority, In IEEE International Symposium on Information Theory (ISIT), 2018.','2','2022-05-10 09:52:03','0000-00-00 00:00:00'),(251,'2018','Conferences','Wireless Sensor Networks','S. Gopal, S. K. Kaul, A game theoretic approach to DSRC and WiFi coexistence, In IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2018.','2','2022-05-10 09:53:12','0000-00-00 00:00:00'),(252,'2018','Conferences','Mobile Systems and Applications','T. Shreedhar, S. K. Kaul, R. D. Yates, ACP: Age Control Protocol for Minimizing Age of Information over the Internet, In Proceedings of the 24th ACM Annual International Conference on Mobile Computing and Networking (MobiCom), 2018.','2','2022-05-10 09:54:11','0000-00-00 00:00:00'),(253,'2018','Conferences','Speech-Audio Processing','M. K. Pal, R. Bhati, A. Sharma, A., S. K. Kaul, S. Anand, P. B. Sujit, A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving, In IEEE 21st International Conference on Intelligent Transportation Systems (ITSC), 2018.','2','2022-05-10 09:54:38','0000-00-00 00:00:00'),(254,'2018','Conferences','Software Security','S. Sikdar, T.Chakraborty, S. Sarkar, N. Ganguly, A. Mukherjee. ComPAS: Community Preserving Sampling for Streaming Graphs, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018.','2','2022-05-10 09:55:11','0000-00-00 00:00:00'),(255,'2018','Conferences','NLP','S. Gupta, A. Khattar, A. Gogia, P. Kumaraguru and T. Chakraborty, Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach, In Proceedings of the World Wide Web Conference on World Wide Web, 2018.','2','2022-05-10 09:55:52','0000-00-00 00:00:00'),(256,'2018','Conferences','Software Security','P.B. Sujit, UAV coalition formation with increased decision-making autonomy, AIAA Information Systems-AIAA Infotech @ Aerospace, AIAA SciTech and Technology Forum and Exposition, 2018.','2','2022-05-10 09:56:15','0000-00-00 00:00:00'),(257,'2018','Conferences','Wireless Sensor Networks','H. Rashid, P. Singh, Monitor: An abnormality detection approach in buildings energy consumption, In IEEE 4th International Conference on Collaboration and Internet Computing (CIC) 2018.','2','2022-05-10 09:57:09','0000-00-00 00:00:00'),(258,'2018','Conferences','Wireless Sensor Networks','H. Rashid, P. Singh, Monitor: An abnormality detection approach in buildings energy consumption, In IEEE 4th International Conference on Collaboration and Internet Computing (CIC) 2018.','2','2022-05-12 10:19:51','0000-00-00 00:00:00'),(259,'2017','Journals','Biometrics and Forensics','I. Manjani, S. Tariyal, M. Vatsa, R. Singh, A. Majumdar, Detecting silicone mask-based presentation attack via deep dictionary learning, IEEE Transactions on Information Forensics and Security, Volume 12, No. 7, pp. 1713-1723, 2017.','2','2022-05-12 10:22:04','0000-00-00 00:00:00'),(260,'2017','Journals','Biometrics and Forensics','G. Goswami, M. Vatsa, and R. Singh, Face Verification via Learned Representation on Feature-Rich Video Frames, IEEE Transactions on Information Forensics and Security, Volume 12, No. 7, pp. 1686-1698, 2017.','2','2022-05-12 10:22:24','0000-00-00 00:00:00'),(261,'2017','Journals','Data Mining','S. Dawar, V. Sharma,V. Goyal, Mining top-k high-utility item sets from a data stream under sliding window model, Applied Intelligence, Volume 47, No. 4, pp. 1240-1255, 2017.','2','2022-05-12 10:23:49','0000-00-00 00:00:00'),(262,'2017','Journals','Machine-Deep Learning','V. M. V. Gunturi, S. Shekhar, K. Joseph, K. M. Carley, Scalable computational techniques for centrality metrics on temporally detailed social network, Machine Learning, Volume 106, No. 8, pp. 1133-1169, 2017.','2','2022-05-12 10:24:59','0000-00-00 00:00:00'),(263,'2017','Conferences','Biometrics and Forensics','P. Basak, S. De, M. Agarwal, A. Malhotra, M. Vatsa, R. Singh, Multimodal biometric recognition for toddlers and pre-school children, In IEEE International Joint Conference on Biometrics (IJCB), 2017.','2','2022-05-12 10:43:08','0000-00-00 00:00:00'),(264,'2017','Conferences','Biometrics and Forensics','M. Singh, S. Nagpal, M. Vatsa, R. Singh, A.Noore, A. Majumdar, Gender and ethnicity classification of Iris images using deep class-encoder, In IEEE International Joint Conference Biometrics (IJCB), 2017.','2','2022-05-12 10:43:47','0000-00-00 00:00:00'),(265,'2017','Conferences','Biometrics and Forensics','S. Nagpal, M. Singh, A. Jain, R. Singh, M. Vatsa, and A. Noore, On Matching Skulls to Digital Face Images: A Preliminary Approach, In Proceedings of IEEE International Joint Conference on Biometrics (IJCB), 2017.','2','2022-05-12 10:44:37','0000-00-00 00:00:00'),(266,'2017','Conferences','Data Mining','V. Vinayakarao, A. Sarma, R. Purandare, S. Jain, S. Jain, Anne: Improving source code search using entity retrieval approach, In ACM International Conference on Web Search and Data Mining (WSDM), 2017.','2','2022-05-12 10:45:04','0000-00-00 00:00:00'),(267,'2017','Conferences','Human-Robot Interaction','R. Tiwari, P. Jain, S. Butail, S. P. Baliyarasimhuni, M. A. Goodrich, Effect of leader placement on robotic swarm control, In Proceedings of the 16th Conference on Autonomous Agents and Multi-agent Systems (AAMAS), 2017.','2','2022-05-12 10:46:36','0000-00-00 00:00:00'),(268,'2017','Conferences','Biometrics and Forensics','G. Goswami, R. Singh, M. Vatsa, A. Majumdar, Kernel group sparse representation based classifier for multimodal biometrics, In IEEE International Joint Conference Neural Networks (IJCNN), 2017.','2','2022-05-12 10:47:01','0000-00-00 00:00:00'),(269,'2017','Conferences','Healthcare Informatics','V. Singhal, A. Majumdar, Noisy Deep Dictionary Learning: Application to Alzheimer\'s Disease Classification, In IEEE International Joint Conference on Neural Networks (IJCNN), 2017.','2','2022-05-12 10:47:27','0000-00-00 00:00:00'),(270,'2017','Conferences','Machine-Deep Learning','V. Singhal, P. Khurana, A. Majumdar, Class-wise Deep Dictionary Learning, In IEEE International Joint Conference on Neural Networks (IJCNN), 2017.','2','2022-05-12 10:48:04','0000-00-00 00:00:00'),(271,'2017','Conferences','Wireless Sensor Networks','A. Tripathi, A. Majumdar, Asymmetric Stacked Autoencoder, In International Joint Conference on Neural Networks (IJCNN), 2017.','2','2022-05-12 10:48:52','0000-00-00 00:00:00'),(272,'2017','Conferences','Wireless Sensor Networks','M. Singh, S. Nagpal, R. Singh and M. Vatsa, Class Representative Autoencoder for Low Resolution Multi-Spectral Gender Classification, In International Joint Conference on Neural Networks (IJCNN), 2017.','2','2022-05-12 10:49:13','0000-00-00 00:00:00'),(273,'2017','Conferences','Computer Vision','R. D. Yates, S. K. Kaul, Status updates over unreliable multiaccess channels, In IEEE International Symposium on Information Theory (ISIT), 2017.','2','2022-05-12 10:50:32','0000-00-00 00:00:00'),(274,'2017','Conferences','Wireless Sensor Networks','D. Jaisinghani, V. Naik, S. K. Kaul, S. Roy, Sniffer-based inference of the causes of active scanning in WiFi networks, In IEEE 23rd National Conference on Communications (NCC), 2017.','2','2022-05-12 10:51:19','0000-00-00 00:00:00'),(275,'2017','Conferences','Computer Vision','S. Nagpal, M. Singh, R. Singh, M. Vatsa, A. Noore, and A. Majumdar, Face Sketch Matching via Coupled Deep Transform Learning, In IEEE International Conference on Computer Vision, 2017.','2','2022-05-12 10:51:58','0000-00-00 00:00:00'),(276,'2017','Conferences','Biomedical Signal Processing','P. Maini, S. Rathinam, P. B. Sujit, Curvature Constrained Trajectory Planning for a UAV through a Sequence of Points: A Perturbation Approach, 11th Asian Control Conference (ASCC), 2017.','2','2022-05-12 10:54:44','0000-00-00 00:00:00'),(277,'2017','Conferences','Mobile Systems and Applications','G. Bajaj, P. Singh, Mew: A Plug-n-Play Framework for Task Allocation in Mobile Crowdsensing, In Proceedings of the 1st ACM Workshop on Mobile Crowdsensing Systems and Applications, 2017.','2','2022-05-12 10:55:17','0000-00-00 00:00:00'),(278,'2017','Conferences','NLP','H. Rashid, P. Singh, Poster: Energy Disaggregation for identifying anomalous appliance, In Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017.','2','2022-05-12 10:56:59','0000-00-00 00:00:00'),(279,'2017','Conferences','NLP','H. Rashid, P. Singh, K. Ramamritham, Revisiting selection of residential consumers for demand response programs, In Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017.','2','2022-05-12 10:57:25','0000-00-00 00:00:00'),(280,'2017','Conferences','NLP','H. Rashid, P. M. Mammen, S. Singh, K. Ramamritham, P. Singh, P. Shenoy, Want to reduce Energy Consumption? Don’t depend on the Customers!, In Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017.','2','2022-05-12 10:57:47','0000-00-00 00:00:00'),(281,'2017','Conferences','Machine-Deep Learning','B. Bhatnagar, S. Singh, C. Arora, C.V. Jawahar, Unsupervised Learning of Deep Feature Representation for Clustering Egocentric Actions, International Joint Conference on Artificial Intelligence (IJCAI), 2017.','2','2022-05-12 10:58:40','0000-00-00 00:00:00'),(282,'2017','Conferences','Computer Vision','A. Gautam, P.B Sujit, S. Saripalli, Autonomous Quadrotor Landing Using Vision and Pursuit Guidance, 20th IFAC World Congress, 2017.','2','2022-05-12 10:59:03','0000-00-00 00:00:00'),(283,'2017','Conferences','Biomedical Signal Processing','H. Oliveira, P.B. Sujit, J.B. Sousa, Robust detection and tracking of ground vehicles using UAV, AIAA Guidance, Navigation, and Control Conference, 2017.','2','2022-05-12 10:59:54','0000-00-00 00:00:00'),(284,'2016','Conferences','Software Security','P. Agarwal, R. Verma, V. M. V. Gunturi, Discovering Spatial Regions of High Correlation, In 16th IEEE International Conference on Data Mining (ICDM), 2016.','2','2022-05-12 11:01:59','0000-00-00 00:00:00'),(285,'2022','Conferences','Machine-Deep Learning','E. Massart and V. Abrol, \"Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training\", AAAI Conference on Artificial Intelligence, 2022, Vancouver, Canada.','2','2022-05-23 08:40:37','0000-00-00 00:00:00'),(286,'2022','Journals','Machine-Deep Learning','M. Murray, V. Abrol, J. Tanner, “Activation function design for deep networks: linearity and effective initialisationâ€, Elseviere Applied and Computational Harmonic Analysis, 2021','2','2022-05-23 08:41:08','0000-00-00 00:00:00'),(287,'2022','Journals','Machine-Deep Learning','M. Murray, V. Abrol, J. Tanner, “Activation function design for deep networks: linearity and effective initialisationâ€, Elseviere Applied and Computational Harmonic Analysis, 2021','2','2022-05-23 08:43:15','0000-00-00 00:00:00'),(288,'2022','Conferences','Machine-Deep Learning','Venktesh, V., Mukesh Mohania, and Vikram Goyal. \"Topic Aware Contextualized Embeddings for High Quality Phrase Extraction.\" In European Conference on Information Retrieval, pp. 457-471. Springer, Cham, 2022.','2','2022-05-30 06:44:25','0000-00-00 00:00:00'),(289,'2022','Conferences','Machine-Deep Learning','Venktesh, V., M d Shad Akhtar, Mukesh Mohania, and Vikram Goyal. \"Auxiliary Task guided Interactive Attention for question Difficulty Prediction\" In International Conference on Artificial intelligence in Education AIED, 2022.','2','2022-05-30 06:45:18','0000-00-00 00:00:00'),(290,'2022','Conferences','Machine-Deep Learning','Vasu Goel, Dhruv Sahnan, Venktesh V, Gaurav Sharma, Deep Dwivedi, Mukesh Mohania. \"K-12BERT: BERT for K-12 education\" In International Conference on Artificial intelligence in Education AIED, 2022.','2','2022-05-30 06:46:19','0000-00-00 00:00:00'),(291,'2022','Journals','Machine-Deep Learning','S. K. Biswas, “Unsupervised learning-based satellite selection algorithm for GPS–NavIC multi-constellation receivers,†GPS Solut, vol. 26, no. 2, p. 61, Apr. 2022, doi: 10.1007/s10291-022-01248-w.','2','2022-05-30 06:47:35','0000-00-00 00:00:00'),(292,'2022','Journals','Computer Vision','A V Subramanyam \"Sinkhorn Adversarial Attack and Defense\"IEEE Transactions on Image Processing, 2022','2','2022-05-30 06:50:00','0000-00-00 00:00:00'),(293,'2022','Journals','Computer Vision','A. Verma, A V Subramanyam, Z. Weng, S. Satoh, R. Shah, \"Unsupervised Domain Adaptation for Person Re-identification via Individual-preserving and Environmental- switching Cyclic Generation\", IEEE Transactions on Multimedia','2','2022-05-30 06:51:34','0000-00-00 00:00:00'),(294,'2022','Journals','Computer Vision','M. Jain, A. Tyagi, A V Subramanyam, S. Denman, C. Fookes and S. Sridharan, \"Channel Graph Regularized Correlation Filters for Visual Object Tracking\", IEEE Transactions on Circuits and Systems for Video Technology','2','2022-05-30 06:52:46','0000-00-00 00:00:00'),(295,'2021','Journals','Wireless Sensor Networks','S. Chandhok, H. Joshi, A V Subramanyam and S. Darak, \"Novel deep learning framework for wideband spectrum characterization at sub-Nyquist rate\", Wireless Networks, 27, 4727-4746, 2021','2','2022-05-30 06:53:57','0000-00-00 00:00:00'),(296,'2020','Journals','Computer Vision','M. Jain, A V Subramanyam, S. Denman, C. Fookes and S. Sridharan, \"LSTM guided ensemble correlation filter tracking with appearance model pool\", Computer Vision and Image Understanding, vol. 195, 2020','2','2022-05-30 06:54:50','0000-00-00 00:00:00'),(297,'2020','Journals','Computer Vision','K. Kansal, A.V. Subramanyam, Z. Weng and S. Satoh, \"SDL: Spectrum-Disentangled Representation Learning for Visible-Infrared Person Re-identification\", IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 10, pp. 3422-3432, Oct. 2020','2','2022-05-30 06:56:10','0000-00-00 00:00:00'),(298,'2019','Journals','Computer Vision','S. Sharma, H. Ravi, A.V. Subramanyam, S. Emmanuel, \"Anti-forensics of Median Filtering and Contrast Enhancement\", Journal of Visual Communication and Image Representation, vol. 66, 2019','2','2022-05-30 06:58:33','0000-00-00 00:00:00'),(299,'2020','Journals','Biometrics and Forensics','A. Mehrish, P. Singh, P. Jain, A.V. Subramanyam, M. Kankanhalli, \"Egocentric Analysis of Dash-cam Videos For Vehicle Forensics\", IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 9, pp. 3000-3014, Sept. 2020','2','2022-05-30 06:59:34','0000-00-00 00:00:00'),(300,'2019','Journals','Image processing','K. Kansal, A.V. Subramanyam, D. Prasad, \"CARF-Net: CNN attention and RNN fusion network for video-based person reidentification\", \r\nJournal of Electronic Imaging, vol. 28, no. 2, 2019','2','2022-05-30 07:00:51','0000-00-00 00:00:00'),(301,'2019','Journals','Machine-Deep Learning','K. Kansal, A.V. Subramanyam, M. Kankanhalli, \"HDRNet: Person Re-identification using Hybrid Sampling in Deep Reconstruction Network\", IEEE Access, vol. 7, pp. 40856-40865, 2019','2','2022-05-30 07:01:58','0000-00-00 00:00:00'),(302,'2019','Journals','Computer Vision','A. Mehrish, A.V. Subramanyam, S. Emmanuel, \"Joint Spatial and Discrete Cosine Transform Domain based Counter Forensics for Adaptive Contrast Enhancement\", IEEE Access, vol. 7, pp. 27183-27195, 2019','2','2022-05-30 07:04:15','0000-00-00 00:00:00'),(303,'2019','Journals','Computer Vision','K. Saini, K. Kansal, A.V. Subramanyam, \"Airborne Visual Tracking and Re-Identification System\", JEI, vol. 28, no. 2, 2019','2','2022-05-30 07:04:52','0000-00-00 00:00:00'),(304,'2019','Journals','Computer Vision','D. Sitani, A.V. Subramanyam, A. Majumdar, \"Online Single and Multiple Analysis Dictionary Learning based approach for Visual Object Tracking\", Journal of Electronic Imaging, vol. 28, no. 1, 2019','2','2022-05-30 07:05:59','0000-00-00 00:00:00'),(305,'2019','Journals','Machine-Deep Learning','A.V. Subramanyam, R. Ahuja, V. Gupta, \"Robust Discriminative Sub-space Learning for Person Reidentification\", IEEE Signal Processing Letters, vol. 26, no. 1, pp. 154-158, 2019','2','2022-05-30 07:06:47','0000-00-00 00:00:00'),(306,'2018','Journals','Image processing','A. Mehrish, A.V. Subramanyam, S. Emmanuel, \"Robust PRNU estimation from probabilistic raw measurements\",Signal Processing: Image Communication, vol. 66, pp. 30-41, 2018','2','2022-05-30 07:07:38','0000-00-00 00:00:00'),(307,'2016','Journals','Computer Vision','A. Mehrish, A.V. Subramanyam, S. Emmanuel, \"Sensor Pattern Noise Estimation Using Probabilistically Estimated RAW Values\", IEEE Signal Processing Letters, vol. 23, no. 5, pp. 693-697, 2016','2','2022-05-30 07:09:40','0000-00-00 00:00:00'),(308,'2016','Journals','Machine-Deep Learning','H. Ravi, A.V. Subramanyam, S. Emmanuel, \"Forensic Analysis of Linear and Non Linear Image Filtering using Quantization Noise\", ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), vol. 12, no. 3, pp. 39:1-39:23, 2016','2','2022-05-30 07:10:52','0000-00-00 00:00:00'),(309,'2022','Conferences','Biometrics and Forensics','Astha Verma, A V Subramanyam, Rajiv Ratn Shah, \"Wasserstein Metric Attack on Person Re-Identification\", IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022','2','2022-05-30 07:20:11','0000-00-00 00:00:00'),(310,'2022','Conferences','Biometrics and Forensics','Vineet Joshi, A V Subramanyam, \"Contextual Active Learning for Person Re-Identification\", IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022','2','2022-05-30 07:22:59','0000-00-00 00:00:00'),(311,'2022','Conferences','Biomedical Signal Processing','Monika Jain, Arjun Tyagi, A V Subramanyam, Simon Denman, Clinton Fookes and Sridha Sridharan, \"IGSSTRCF: Importance Guided Sparse Spatio-Temporal Regularized Correlation Filters For Tracking\", In Proc. IEEE Winter Conference on Applications of Computer Vision (WACV), 2021, pp. 2774-2783,','2','2022-05-30 07:25:16','0000-00-00 00:00:00'),(312,'2021','Conferences','Wireless Sensor Networks','Kajal Kansal, Harsh Jain, A V Subramanyam, \"Disentangling Reconstruction Network for Unsupervised Cross-Domain Person Re-Identification\", IEEE International Conference on Systems, Man and Cybernetics, 2021','2','2022-05-30 07:29:15','0000-00-00 00:00:00'),(313,'2019','Conferences','Wireless Sensor Networks','Sonu Gupta, Deepak Srivatsav, A V Subramanyam, Ponnurangam Kumaraguru, \"Attentional Road Safety Networks\", In Proc. IEEE International Conference on Image Processing (ICIP), 2019, pp. 1600-1604','2','2022-05-30 07:31:36','0000-00-00 00:00:00'),(314,'2019','Conferences','Computer Vision','Kajal Kansal, A V Subramanyam, \"Autoencoder Ensemble for Person Re-Identification, \"In Proc. IEEE International Conference on Multimedia Big Data (BigMM), 2019, pp. 257-261','2','2022-05-30 07:34:48','0000-00-00 00:00:00'),(315,'2019','Conferences','Image processing','Anurag Singh, Lakshay Virmani, A V Subramanyam, \"Image Corpus Representative Summarization\", In Proc. IEEE International Conference on Multimedia Big Data (BigMM), 2019, pp. 21-29','2','2022-05-30 07:36:47','0000-00-00 00:00:00'),(316,'2019','Conferences','Wireless Sensor Networks','S. Chandok, H. Joshi, S. Darak, and A.V. Subramanyam, \"LSTM Guided Modulation Classification and Experimental Validation for Sub-Nyquist Rate Wideband Spectrum Sensing, \"In Proc. International Conference on Communication Systems & Networks (COMSNETS), 2019','2','2022-05-30 07:37:47','0000-00-00 00:00:00'),(317,'2021','Conferences','Computer Vision','M. Shah, A. V. Subramanyam and G. Arora, \"In-Sat: A Novel Land Cover Classification Dataset for Indian Subcontinent\", IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp. 6650-6653','2','2022-05-30 07:43:08','0000-00-00 00:00:00'),(318,'2021','Conferences','Computer Vision','Hierarchical Attention Image-Text Alignment Network For Person Re-Identification\", Proc. IEEE International Conference on Multimedia & Expo Workshops (ICMEW), Shenzhen, China, 2021 pp. 1-6','2','2022-05-30 07:47:18','0000-00-00 00:00:00'),(319,'2018','Conferences','Wireless Sensor Networks','K. Kansal, and A.V. Subramanyam, \"Transfer Learning of Spatio-Temporal Information using 3D-CNN for Person Re-identification\" ,Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018, pp. 923-928','2','2022-05-30 07:49:39','0000-00-00 00:00:00'),(320,'2018','Conferences','Biometrics and Forensics','R. Banerjee, G. Chikara, V. Naik, A.V. Subramanyam, and K. Dey, \"Use of facial landmarks for adaptive compression of videos on mobile devices\", Proc. International Conference on Communication Systems & Networks (COMSNETS), 2018, pp. 320-327','2','2022-05-30 07:51:03','0000-00-00 00:00:00'),(321,'2017','Conferences','Computer Vision','S. Goel, S. Ahuja, A.V. Subramanyam, and P. Kumaragurum, \"#VisualHashtags: Visual Summarization of Social Media Events Using Mid-Level Visual Elements\", Proc. ACM International Conference on Multimedia (ACM MM), 2017, pp. 1434-1442','2','2022-05-30 07:55:13','0000-00-00 00:00:00'),(322,'2017','Conferences','Biometrics and Forensics','A. Mehrish, A.V. Subramanyam, and M.S. Kankanhalli, \"Multimedia Signatures for Vehicle Forensics\", Proc. IEEE International Conference on Multimedia and Expo (ICME), 2017, pp. 685-690','2','2022-05-30 08:03:08','0000-00-00 00:00:00'),(323,'2017','Conferences','Computer Vision','D. Mullick, A.V. Subramanyam, and S. Emmanuel, \"Online SVM and Backward Model Validation Based Visual Tracking\", Proc. IEEE International Conference on Image Processing (ICIP), 2017, pp. 4327-4331','2','2022-05-30 08:04:56','0000-00-00 00:00:00'),(324,'2016','Conferences','Mobile Systems and Applications','S. Goel, N. Sachdeva, P. Kumaraguru, A.V. Subramanyam and D. Gupta, \"PicHunt: Social Media Image Retrieval for Improved Law Enforcement\" ,\r\nProc. International Conference on Social Informatics (SocInfo), 2016, pp. 206-223','2','2022-05-30 08:06:44','0000-00-00 00:00:00'),(325,'2016','Conferences','Computer Vision','M. Jain, S. Deb, A.V. Subramanyam, \"Face Video Based Touchless Blood Pressure and Heart Rate Estimation\", Proc. IEEE International Workshop on Multimedia Signal Processing (MMSP), 2016. Pages: 5','2','2022-05-30 08:09:38','0000-00-00 00:00:00'),(326,'2022','Conferences','Data Mining','Vasu Goel, Dhruv Sahnan, Venktesh V, Gaurav Sharma, Deep Dwivedi, Mukesh Mohania. \"K-12BERT: BERT for K-12 education\" In International Conference on Artificial intelligence in Education AIED, 2022.Vasu Goel, Dhruv Sahnan, Venktesh V, Gaurav Sharma, Deep Dwivedi, Mukesh Mohania. \"K-12BERT: BERT for K-12 education\" In International Conference on Artificial intelligence in Education AIED, 2022.','2','2022-06-01 05:19:34','0000-00-00 00:00:00'),(327,'2022','Conferences','Machine-Deep Learning','Aarish Chhabra, Nandini Bansal, Venktesh V, Mukesh Mohania and Deep Dwivedi \"\"Obj2Sub: Unsupervised Conversion of Objective to Subjective Questions\"\", In International Conference on Artificial intelligence in Education AIED, 2022.','2','2022-06-01 05:20:09','0000-00-00 00:00:00'),(328,'2022','Journals','Machine-Deep Learning','S. K. Biswas, “Unsupervised learning-based satellite selection algorithm for GPS–NavIC multi-constellation receivers,†GPS Solut, vol. 26, no. 2, p. 61, Apr. 2022, doi: 10.1007/s10291-022-01248-w.','2','2022-06-01 05:21:00','0000-00-00 00:00:00'),(329,'2022','Conferences','Human-Robot Interaction','Deepika Yadav, Prerna Malik, Kirti Dabas, Anushka Bhandari, and Pushpendra Singh. 2022.“Should I visit the clinicâ€: Analyzing WhatsApp-mediated Online Health Support for Expectantand New Mothers in Rural India. 21 pages. In Proceedings of the 2022 CHI Conference on Hu-\r\nman Factors in Computing Systems. CHI’ 2022. (CORE A*, ranked number 1 venue by Google\r\nScholar in HCI area with h-median 122 and also one of the top 10 Computer Science Confer-\r\nences).','2','2022-06-01 05:22:17','0000-00-00 00:00:00'),(330,'2022','Conferences','Human-Robot Interaction','Asra Sakeen Wani, Divyanshu Singh, and Pushpendra Singh. 2022. “Hartal (Strike) Happens\r\nHere Everydayâ€: Understanding Impact of Disruption on Education in Kashmir. 15 pages. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. CHI’ 2022. (CORE A*, ranked number 1 venue by Google Scholar in HCI area with h-median 122 and also\r\none of the top 10 Computer Science Conferences).','2','2022-06-01 05:23:02','0000-00-00 00:00:00'),(331,'2022','Conferences','Human-Robot Interaction','Anupriya Tuli, Surbhi Singh, Rikita Narula, Neha Kumar, and Pushpendra Singh. 2022. Re-thinking Menstrual Trackers Towards Period-Positive Ecologies. 20 pages. In Proceedings of the2022 CHI Conference on Human Factors in Computing Systems. CHI’ 2022.','2','2022-06-01 05:24:24','0000-00-00 00:00:00'),(332,'2022','Conferences','NLP','Subhabrata Dutta, Samiya Caur, Soumen Chakrabarti, Tanmoy Chakraborty . Semi-supervised Stance Detection of Tweets Via Distant Network Supervision, WSDM, 2022.','2','2022-06-01 05:24:59','0000-00-00 00:00:00'),(333,'2022','Conferences','NLP','Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, Md Shad Akhtar, Tanmoy Chakraborty. Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations, WSDM, 2022.','2','2022-06-01 05:25:36','0000-00-00 00:00:00'),(334,'2022','Conferences','NLP','Hridoy Dutta, Nirav Diwan, Tanmoy Chakraborty. Weakening the Inner Strength: Spotting Core Collusive Users in YouTube Blackmarket Network, ICWSM, 2022.','2','2022-06-01 05:26:16','0000-00-00 00:00:00'),(335,'2022','Conferences','NLP','Manjot Bedi, Tanisha Pandey, Sumit Bhatia and Tanmoy Chakraborty. Why Did You Not Compare With That? Finding Papers for Use as Baseline, ECIR, 2022.','2','2022-06-01 05:26:54','0000-00-00 00:00:00'),(336,'2022','Conferences','NLP','Poorav Desai, Tanmoy Chakraborty, Md Shad Ahtar. Nice perfume. How long did you marinate in it? Multimodal Sarcasm Explanation, AAAI, 2022.','2','2022-06-01 05:27:13','0000-00-00 00:00:00'),(337,'2022','Journals','Data Mining','Shivani Kumar, Anubhav Shrimal, Md Shad Akhtar, Tanmoy Chakraborty. Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Networks and Transformer, Knowledge-Based Systems.','2','2022-06-01 05:27:32','0000-00-00 00:00:00'),(338,'2022','Conferences','NLP','Priya Mehta, Meet Maheshwari, Brihi Joshi, Tanmoy Chakraborty. BaDumTss: Multi-task Learning for Beatbox Transcription, 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2022).','2','2022-06-01 05:28:10','0000-00-00 00:00:00'),(339,'2022','Conferences','NLP','Siddharth Sadhwani, Nishant Grover, Md Shad Akhtar, Tanmoy Chakraborty. Detecting Anchors\' Opinion in Hinghlish News Delivery, 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2022).','2','2022-06-01 05:28:25','0000-00-00 00:00:00'),(340,'2022','Conferences','Data Mining','Hridoy Dutta, Tanmoy Chakraborty. Blackmarket-driven Collusion on Online Media: A Survey, ACM/IMS Transactions on Data Science.','2','2022-06-01 05:28:50','0000-00-00 00:00:00'),(341,'2022','Conferences','NLP','Shivani Kumar, Atharva Kulkarni, Md Shad Akhtar, Tanmoy Chakraborty. When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues, ACL 2022.','2','2022-06-01 05:29:16','0000-00-00 00:00:00'),(342,'2022','Conferences','Data Mining','Subhabrata Dutta, Jeevesh Juneja, Dipankar Das, Tanmoy Chakraborty. Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?, ACL 2022.','2','2022-06-01 05:29:42','0000-00-00 00:00:00'),(343,'2022','Conferences','Healthcare Informatics','Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md. Shad Akhtar, Maryam Panahiazar, Amit Sheth. A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework?, ICWSM 2022.','2','2022-06-01 05:30:08','0000-00-00 00:00:00'),(344,'2022','Journals','Data Mining','Tanmoy Chakraborty, Sarah Masud. Nipping in the bud: detection, diffusion and mitigation of hate speech on social media, ACM SIGWEB Newsletter, Winter Issue (Invited Paper).','2','2022-06-01 05:30:43','0000-00-00 00:00:00'),(345,'2022','Journals','NLP','Anubha Gupta, Sachin Motwani, Abhishek Agarwal, Vishaal Udandarao, Tanmoy Chakraborty. Changing Landscape of Technical Education Pedagogy from Traditional to Practical e-Learning, IEEE Computer Magazine, 2022.','2','2022-06-01 05:30:53','0000-00-00 00:00:00'),(346,'2022','Conferences','Data Mining','Shivam Sharma, Md Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty. DISARM: Detecting the Victims Targeted by Harmful Memes, NAACL (Findings), 2022.','2','2022-06-01 05:31:16','0000-00-00 00:00:00'),(347,'2022','Journals','NLP','Aman Roy, Shravika Mittal, Tanmoy Chakraborty. MG2Vec+: A Multi-headed Graph Attention Network for Multigraph Embedding, Knowledge and Information Systems, 2022.','2','2022-06-01 05:32:33','0000-00-00 00:00:00'),(348,'2022','Journals','NLP','Subhabrata Dutta, Shravika Mittal, Dipankar Das, Soumen Chakrabarti, Tanmoy Chakraborty. Incomplete Gamma Integrals for Deep Cascade Prediction using Content, Network, and Exogenous Signals, IEEE TKDE, 2022.','2','2022-06-01 05:32:57','0000-00-00 00:00:00'),(349,'2022','Conferences','NLP','Aseem Srivastava, Tharun Suresh, Sarah Lord, Md Shad Akhtar, Tanmoy Chakraborty. Counseling Summarization using Mental Health Knowledge Guided Utterance Filtering, SIGKDD, 2022.','2','2022-06-01 05:33:14','0000-00-00 00:00:00'),(350,'2022','Conferences','NLP','Sarah Masud, Manjot Bedi, Mohammad Aflah Khan, Md Shad Akhtar, Tanmoy Chakraborty. Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization, SIGKDD, 2022.','2','2022-06-01 05:33:32','0000-00-00 00:00:00'),(351,'2022','Journals','Human-Robot Interaction','Singh, D.K., Kumar, M., Fosch-Villaronga, E., Singh, Deepa, Shukla, J. (2022, April). Ethical Considerations from Child-Robot Interactions in Under-Resourced Communities. International Journal of Social Robotics (2022).\"','2','2022-06-01 05:34:01','0000-00-00 00:00:00'),(352,'2022','Conferences','Knowledge Graphs','Gunjan Singh, Raghava Mutharaju, Pavan Kapanipathi. Proceedings of the Semantic Reasoning Evaluation Challenge (SemREC 2021) co-located with the 20th International Semantic Web Conference (ISWC 2021), Virtual Event, October 27th, 2021. CEUR Workshop Proceedings 3123, CEUR-WS.org 2022','2','2022-06-03 07:05:29','0000-00-00 00:00:00'),(353,'2022','Conferences','Knowledge Graphs','Lakshya A Agrawal, Nikunj Singhal, Raghava Mutharaju. A SPARQL to Cypher Transpiler: Proposal and Initial Results. 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), CODS-COMAD 2022.','2','2022-06-03 07:06:52','0000-00-00 00:00:00'),(354,'2022','Conferences','Machine-Deep Learning','A. Garg, D. Sani, and S. Anand, \"Learning Hierarchy Aware Features for Reducing Mistake Severity\", European Conference on Computer Vision (ECCV)','2','2022-07-19 05:03:38','0000-00-00 00:00:00'),(355,'2022','Journals','Computer Vision','K. R. Jerripothula, P. Mukherjee, J. Cai, S. Lu and J. Yuan, \"AppFuse: An Appearance Fusion Framework for Saliency Cues,\" in IEEE Transactions on Circuits and Systems for Video Technology, 2022, doi: 10.1109/TCSVT.2022.3188699.','2','2022-07-19 05:04:43','0000-00-00 00:00:00'),(356,'2022','Conferences','NLP','MINIMAL: Mining Models for Universal Adversarial TriggersYK Singla, S Parekh, S Singh, B Krishnamurthy, RR Shah, C Chen','2','2022-07-19 05:07:06','0000-00-00 00:00:00'),(357,'2022','Conferences','NLP','Yaman Kumar Singla, Sriram Krishna, Rajiv Ratn Shah, Changyou Chen \"Using sampling to estimate and improve performance of automated scoring systems with guarantees\", in Proceedings of the AAAI Conference on Artificial Intelligence','2','2022-07-19 05:07:20','0000-00-00 00:00:00'),(358,'2022','Conferences','NLP','Yaman Kumar Singla, Sriram Krishna, Rajiv Ratn Shah, Changyou Chen \"Using sampling to estimate and improve performance of automated scoring systems with guarantees\", in Proceedings of the AAAI Conference on Artificial Intelligence','2','2022-07-19 05:12:08','0000-00-00 00:00:00'),(359,'2022','Conferences','Speech-Audio Processing','Abhishek Srivastava, Wei Duan, Rajiv Ratn Shah, Jianming Wu, Suhua Tang, Wei Li, Yi Yu \"Melody generation from lyrics using three branch conditional LSTM-GAN\", in International Conference on Multimedia Modeling 2022','2','2022-07-19 05:12:38','0000-00-00 00:00:00'),(360,'2022','Conferences','Biomedical Signal Processing','P. Kumar, K. Nathwani, V. Abrol, S. Kumar, \"Compressive Self-Noise Cancellation in Underwater Acoustics\", Sensor Signal Processing for Defence (SSPD)','2','2022-08-25 07:31:24','0000-00-00 00:00:00'),(361,'2022','Conferences','Human-Robot Interaction','Yogesh Kumar*, Sayan Basu Roy, Sujit PB, \"Image-Based Visual Servoing of Quadrotor to Track a Moving Planer Target with Unknown Linear and Angular Velocities\", 61st IEEE Conference on Decision and Control (CDC)','2','2022-08-30 05:27:59','0000-00-00 00:00:00'),(362,'2022','Conferences','NLP','Tushar Garg, Sayan Basu Roy, Kyriakos G. Vamvoudakis, \"PI-like Estimator-based Adaptive Extremum Seeking Control using Initial Excitation\", 61st IEEE Conference on Decision and Control (CDC)','2','2022-08-30 05:29:29','0000-00-00 00:00:00'); /*!40000 ALTER TABLE `publicationstbl` ENABLE KEYS */; UNLOCK TABLES; -- -- Table structure for table `publicationstbl_old` -- DROP TABLE IF EXISTS `publicationstbl_old`; /*!40101 SET @saved_cs_client = @@character_set_client */; /*!40101 SET character_set_client = utf8 */; CREATE TABLE `publicationstbl_old` ( `id` int(11) NOT NULL AUTO_INCREMENT, `ddlYears` varchar(50) NOT NULL, `typeC` varchar(100) NOT NULL, `areaType` varchar(500) NOT NULL, `contentmsg` varchar(2000) NOT NULL, `status` varchar(11) NOT NULL, `makerstamp` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, `updatestamp` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00', PRIMARY KEY (`id`) ) ENGINE=MyISAM AUTO_INCREMENT=7 DEFAULT CHARSET=latin1; /*!40101 SET character_set_client = @saved_cs_client */; -- -- Dumping data for table `publicationstbl_old` -- LOCK TABLES `publicationstbl_old` WRITE; /*!40000 ALTER TABLE `publicationstbl_old` DISABLE KEYS */; INSERT INTO `publicationstbl_old` VALUES (1,'2022','Conferences','Software Security','D. Gupta and V. Abrol, \'\'Time-Frequency and Geometric Analysis of Task Dependent Learning in Raw Waveform based Acoustic Models\'\', in 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022, Singapore.','2','2022-02-09 05:34:47','2022-02-05 16:02:01'),(3,'2022','Journals','Area Type 2','Majumdar, Angshul. \"Solving inverse problems with autoencoders on learnt graphs.\" Signal Processing 190 (2022): 108300.','2','2022-02-02 18:18:45','2022-02-05 16:02:07'),(4,'2021','Journals','Area Type 1','S. Mittal, D. Sengupta and T. Chakraborty, \"Hide and Seek: Outwitting Community Detection Algorithms,\" in IEEE Transactions on Computational Social Systems, vol. 8, no. 4, pp. 799-808, Aug. 2021, doi: 10.1109/TCSS.2021.3062711.','2','2022-02-02 18:18:45','2022-02-05 16:02:10'),(5,'2021','Conferences','Area Type 2','Subhapratta Datta, Sarah Masud, Sakshi Makkar, Chhavi Jain, Vikram Goyal, Amitava Das, Tanmoy Chakraborty, “Hate is the New Infodemic: Modeling and Visualizing Hate Speech Diffusion on Twitter”, In International Conference on Data Engineering (ICDE), 2021.','2','2022-02-02 18:18:45','2022-02-05 16:02:15'),(6,'2021','Conferences','Area Type 1','Singh, G., Mondal, S., Bhatia, S., & Mutharaju, R. (2021). Neuro-Symbolic Techniques for Description Logic Reasoning (Student Abstract). 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