| 2026 | EACL | DisGraph-RP: Graph-Augmented Temporal Modeling with Aspect-Based Contrastive Encoding of Discharge Summary for Readmission Prediction. | Sudeshna Jana, Tirthankar Dasgupta, Manjira Sinha, Pabitra Mitra |
| 2025 | AIAI | Large Language Model-Based Federated Zero-Shot Learning for Intrusion Detection in Smart Grids. | Rupshali Dasgupta, Pabitra Mitra |
| 2024 | BMVC | Gumbel Rao Monte Carlo based Bi-Modal Neural Architecture Search for Audio-Visual Deepfake Detection. | Aravinda Reddy P. N., Raghavendra Ramachandra, Krothapalli Sreenivasa Rao, Pabitra Mitra |
| 2024 | BMVC | MorCode: Face Morphing Attack Generation using Generative Codebooks. | Aravinda Reddy P. N., Raghavendra Ramachandra, Krothapalli Sreenivasa Rao, Pabitra Mitra |
| 2024 | EMNLP | Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model. | Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly, Debasis Samanta, Pabitra Mitra |
| 2024 | ICLR | NIRo: A Metric to capture non-iid robustness for Federated Learning Algorithms. | Anupam Gupta, Pabitra Mitra |
| 2024 | ICLR | Graph Expansion in Pruned Recurrent Neural Network Layers Preserves Performance. | Suryam Arnav Kalra, Pabitra Mitra, Arindam Biswas, Biswajit Basu |
| 2024 | ICLR | Performance Analysis of a quantum-Classical Hybrid Reinforcement Learning Approach. | Evan Mitchell, Biswajit Basu, Pabitra Mitra |
| 2024 | ICPR | Stagger-Cache MITM: A Privacy-Preserving Hierarchical Model Aggregation Framework. | Anupam Gupta, Pabitra Mitra, Sudip Misra |
| 2024 | ICPR | Contrastive and Restorative Pre-Training for Medical VQA. | Vasudha Joshi, Pabitra Mitra, Supratik Bose |
| 2024 | ICPR | Rough Set Theoretic Approach for Solving the Multi-Armed Bandit Problems. | Avinash Paidi, Istapriya Jagravi, Pabitra Mitra |
| 2024 | ICPR | NeuralMultiling: A Novel Neural Architecture Search for Smartphone Based Multilingual Speaker Verification. | P. N. Aravinda Reddy, Raghavendra Ramachandra, K. Sreenivasa Rao, Pabitra Mitra |
| 2024 | WWW | HBIAS FedAvg: Smooth Federated Learning Transition for In-use Edge Models. | Anupam Gupta, Pabitra Mitra, Sudip Misra |
| 2023 | AAAI | Neural Language Model Based Attentive Term Dependence Model for Verbose Query (Student Abstract). | Dipannita Podder, Jiaul H. Paik, Pabitra Mitra |
| 2023 | ICAART | Automated Deep Learning Based Answer Generation to Psychometric Questionnaire: Mimicking Personality Traits. | Anirban Lahiri, Shivam Raj, Utanko Mitra, Sunreeta Sen, Rajlakshmi Guha, Pabitra Mitra, Partha Pratim Chakraborty, Anupam Basu |
| 2023 | Interspeech | Self-Paced Pattern Augmentation for Spoken Term Detection in Zero-Resource. | P. Sudhakar, K. Sreenivasa Rao, Pabitra Mitra |
| 2022 | CogSci | A Study on Relative Performance of an Reinforcement Learning Agent and Human in a Psychometric Assessment Game. | Utanko Mitra, Shivam Raj, Anirban Lahiri, Sunreeta Sen, Rajlakshmi Guha, Pabitra Mitra |
| 2022 | ICML | A Study on the Ramanujan Graph Property of Winning Lottery Tickets. | Bithika Pal, Arindam Biswas, Sudeshna Kolay, Pabitra Mitra, Biswajit Basu |
| 2022 | WWW | Mining Homophilic Groups of Users using Edge Attributed Node Embedding from Enterprise Social Networks. | Priyanka Sinha, Ritu Patel, Pabitra Mitra, Dilys Thomas, Lipika Dey |
| 2021 | AISTATS | Alternating Direction Method of Multipliers for Quantization. | Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn |
| 2021 | SIGIR | NIP-GCN: An Augmented Graph Convolutional Network with Node Interaction Patterns. | Manish Chandra, Debasis Ganguly, Pabitra Mitra, Bithika Pal, James Thomas |
| 2020 | CogSci | Antarjami: Exploring psychometric evaluation through a computer-based game. | Anirban Lahiri, Utanko Mitra, Sunreeta Sen, Mreenal Chakraborty, Max Kleiman-Weiner, Rajlakshmi Guha, Pabitra Mitra, Anupam Basu, Partha Pratim Chakraborty |
| 2020 | CVPR | Prior Guided GAN Based Semantic Inpainting. | Avisek Lahiri, Arnav Kumar Jain, Sanskar Agrawal, Pabitra Mitra, Prabir Kumar Biswas |
| 2020 | ICIP | Unsupervised Pre-Trained, Texture Aware and Lightweight Model for Deep Learning Based Iris Recognition Under Limited Annotated Data. | Manashi Chakraborty, Mayukh Roy, Prabir Kumar Biswas, Pabitra Mitra |
| 2020 | WWW | A Hierarchical Clustering Algorithm for Characterizing Social Media Users. | Priyanka Sinha, Lipika Dey, Pabitra Mitra, Dilys Thomas |
| 2019 | ICCS | Deep Learning Based LSTM and SeqToSeq Models to Detect Monsoon Spells of India. | Saicharan Viswanath, Moumita Saha, Pabitra Mitra, Ravi S. Nanjundiah |
| 2019 | IECON | Orthogonal Matching Pursuit and K-SVD for Recovery of Sparse Power System Harmonics with the Cubature Kalman Filter. | Meghabriti Pramanik, Aurobinda Routray, Pabitra Mitra |
| 2019 | IGARSS | Estimation of Ground Deformation Using Psinsar with L-Band Alos Palsar Data: A Case Study of Kolkata, India. | Kousik Biswas, Debashish Chakravarty, Pabitra Mitra, Arundhati Misra |
| 2019 | WACV | Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors From Images. | Avisek Lahiri, Sri Charan Ragireddy, Prabir Kumar Biswas, Pabitra Mitra |
| 2019 | Tencon | Predicate Proximity in Failure: An MLP based Fault Localization approach. | Arpita Dutta, Rohit Sahay, Pabitra Mitra, Rajib Mall |
| 2018 | ICCSA | Multi-objective Based Road-Link Grading for Health-Care Access During Flood Hazard Management. | Omprakash Chakraborty, V. Yeshwanth, Pabitra Mitra, Soumya K. Ghosh |
| 2018 | ICCSA | A Technique for Assessing the Quality of Volunteered Geographic Information for Disaster Decision Making. | Arindam Dasgupta, Soumya K. Ghosh, Pabitra Mitra |
| 2018 | ICMV | Visual attention for behavioral cloning in autonomous driving. | Tharun Mohandoss, Sourav Pal, Pabitra Mitra |
| 2018 | IECON | Harmonics Estimation of a Noisy Power System Signal Using Cubature Kalman Filter. | Meghabriti Pramanik, Agnimesh Ghosh, Aurobinda Routray, Pabitra Mitra |
| 2018 | IGARSS | Spatial Correlation Based Psinsar Technique to Estimate Ground Deformation in las Vegas Region, Us. | Kousik Biswas, Debashish Chakravarty, Pabitra Mitra, Arundhati Misra |
| 2018 | IGARSS | A Novel Supervised Linear Spectral Unmixing Model Constrained Pso Approach for Abundance Estimation. | Vaibhav Lodhi, Debashish Chakravarty, Pabitra Mitra |
| 2017 | ACL | Bilingual Word Embeddings with Bucketed CNN for Parallel Sentence Extraction. | Jeenu Grover, Pabitra Mitra |
| 2017 | COMSNETS | Decision recommendation system for transporters in an online freight exchange platform. | Prabir Mallick, Sudeshna Sarkar, Pabitra Mitra |
| 2017 | CVPR | Recurrent Memory Addressing for Describing Videos. | Arnav Kumar Jain, Abhinav Agarwalla, Kumar Krishna Agrawal, Pabitra Mitra |
| 2017 | CVPR | Generative Adversarial Learning for Reducing Manual Annotation in Semantic Segmentation on Large Scale Miscroscopy Images: Automated Vessel Segmentation in Retinal Fundus Image as Test Case. | Avisek Lahiri, Kumar Ayush, Prabir Kumar Biswas, Pabitra Mitra |
| 2017 | IGARSS | A deep learning based approach with adversarial regularization for Doppler weather radar ECHO prediction. | Sonam Singh, Sudeshna Sarkar, Pabitra Mitra |
| 2017 | ISNN | Leveraging Convolutions in Recurrent Neural Networks for Doppler Weather Radar Echo Prediction. | Sonam Singh, Sudeshna Sarkar, Pabitra Mitra |
| 2016 | ICCS | Predictor Discovery for Early-late Indian Summer Monsoon Using Stacked Autoencoder. | Moumita Saha, Pabitra Mitra, Ravi S. Nanjundiah |
| 2016 | ICCSA | A Geospatial Service Oriented Framework for Disaster Risk Zone Identification. | Omprakash Chakraborty, Jaydeep Das, Arindam Dasgupta, Pabitra Mitra, Soumya K. Ghosh |
| 2016 | IJCNN | Recurrent neural network based prediction of indian summer monsoon using global climatic predictors. | Moumita Saha, Pabitra Mitra |
| 2016 | RecSys | Recommending Repeat Purchases using Product Segment Statistics. | Suvodip Dey, Pabitra Mitra, Kratika Gupta |
| 2015 | HealthCom | A mobile volunteered geographic information management platform for rural health informatics. | Arindam Dasgupta, Soumya K. Ghosh, Pabitra Mitra |
| 2015 | ICCS | Co-Clustering Based Approach for Indian Monsoon Prediction. | Moumita Saha, Pabitra Mitra |
| 2014 | BIBE | Multiview Clustering on PPI Network for Gene Selection and Enrichment from Microarray Data. | Tripti Swarnkar, Srgio Nery Simes, David Correa Martins, Anji Anura, Helena Paula Brentani, Ronaldo Fumio Hashimoto, Pabitra Mitra |
| 2014 | ICONIP | VLGAAC: Variable Length Genetic Algorithm Based Alternative Clustering. | Moumita Saha, Pabitra Mitra |
| 2014 | ICONIP | Two-Phase Approach to Link Prediction. | Srinivas Virinchi, Pabitra Mitra |
| 2013 | ICONIP | Similarity Measures for Link Prediction Using Power Law Degree Distribution. | Srinivas Virinchi, Pabitra Mitra |
| 2012 | ECIR | Handling OOV Words in Indian-language - English CLIR. | Parin Chheda, Manaal Faruqui, Pabitra Mitra |
| 2012 | RecSys | Local learning of item dissimilarity using content and link structure. | Abir De, Maunendra Sankar Desarkar, Niloy Ganguly, Pabitra Mitra |
| 2011 | WACV | Quadtree decomposition based extended vector space model for image retrieval. | Vignesh Ramanathan, Shaunak Mishra, Pabitra Mitra |
| 2010 | LREC | Determining Reliability of Subjective and Multi-label Emotion Annotation through Novel Fuzzy Agreement Measure. | Plaban Kumar Bhowmick, Anupam Basu, Pabitra Mitra |
| 2010 | RecSys | Aggregating preference graphs for collaborative rating prediction. | Maunendra Sankar Desarkar, Sudeshna Sarkar, Pabitra Mitra |
| 2008 | ACL | Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER. | Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar |
| 2008 | COMAD | Topic Distillation using Support Vector Data Description. | V. Vijaya Saradhi, Harish Karnick, Pabitra Mitra |
| 2008 | ICPR | Application of triphone clustering in acoustic modeling for continuous speech recognition in Bengali. | Pratyush Banerjee, Gaurav Garg, Pabitra Mitra, Anupam Basu |
| 2008 | ICPR | Combining content and structure similarity for XML document classification using composite SVM kernels. | Saptarshi Ghosh, Pabitra Mitra |
| 2008 | IJCNLP | A Hybrid Named Entity Recognition System for South and South East Asian Languages. | Sujan Kumar Saha, Sanjay Chatterji, Sandipan Dandapat, Sudeshna Sarkar, Pabitra Mitra |
| 2008 | IJCNLP | A Hybrid Feature Set based Maximum Entropy Hindi Named Entity Recognition. | Sujan Kumar Saha, Sudeshna Sarkar, Pabitra Mitra |
| 2008 | SMC | Face recognition using Parallel Associative Memory. | Karm Veer Arya, Viraat Singh, Pabitra Mitra, Phalguni Gupta |
| 2008 | WWW | Feature weighting in content based recommendation system using social network analysis. | Souvik Debnath, Niloy Ganguly, Pabitra Mitra |
| 2007 | MDM | Distributive Energy Efficient Adaptive Clustering Protocol for Wireless Sensor Networks. | Udit Sajjanhar, Pabitra Mitra |
| 2007 | SDM | Dynamic Algorithm for Graph Clustering Using Minimum Cut Tree. | Barna Saha, Pabitra Mitra |
| 2006 | ICDM | Dynamic Algorithm for Graph Clustering Using Minimum Cut Tree. | Barna Saha, Pabitra Mitra |
| 2006 | ICPR | Activity Discovery from Surveillance Videos. | Prithwijit Guha, Amitabha Mukerjee, K. S. Venkatesh, Pabitra Mitra |
| 2006 | WWW | Selective hypertext induced topic search. | Amit C. Awekar, Pabitra Mitra, Jaewoo Kang |
| 2005 | WWW | Extracting semantic structure of web documents using content and visual information. | Rupesh R. Mehta, Pabitra Mitra, Harish Karnick |
| 2005 | SAC | Stochastic scheduling of active support vector learning algorithms. | Gaurav Pandey, Himanshu Gupta, Pabitra Mitra |
| 2004 | ICONIP | Signature Verification Using Static and Dynamic Features. | Mayank Vatsa, Richa Singh, Pabitra Mitra, Afzel Noore |
| 2004 | ICPR | Corner Detection Using Support Vector Machines. | Minakshi Banerjee, Malay K. Kundu, Pabitra Mitra |
| 2004 | ICPR | Feature Selection and Gene Clustering from Gene Expression Data. | Pabitra Mitra, D. Dutta Majumder |
| 2004 | SMC | Digital watermarking based secure multimodal biometric system. | Mayank Vatsa, Richa Singh, Pabitra Mitra, Afzel Noore |
| 2000 | ICPR | Data Condensation in Large Databases by Incremental Learning with Support Vector Machines. | Pabitra Mitra, C. A. Murthy, Sankar K. Pal |