Quantified Computation Tree Logic. - Anindya C. Patthak; Indrajit Bhattacharya; Anirban Dasgupta 001; Pallab Dasgupta; P. P. Chakrabarti 001 (Inf. Process. Lett., 2002)

An Object-Oriented Fuzzy Data Model for Similarity Detection in Image Databases. - Arun K. Majumdar; Indrajit Bhattacharya; Amit K. Saha (IEEE Trans. Knowl. Data Eng., 2002)

Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models. - Indrajit Bhattacharya; Lise Getoor; Yoshua Bengio (ACL, 2004)

Iterative record linkage for cleaning and integration. - Indrajit Bhattacharya; Lise Getoor (DMKD, 2004)

The University of Maryland Senseval-3 system descriptions. - Clara I. Cabezas; Indrajit Bhattacharya; Philip Resnik (SENSEVAL@ACL, 2004)

Similarity Searching in Peer-to-Peer Databases. - Indrajit Bhattacharya; Srinivas R. Kashyap; Srinivasan Parthasarathy 002 (ICDCS, 2005)

Query-time entity resolution. - Indrajit Bhattacharya; Lise Getoor; Louis Licamele (KDD, 2006)

A Latent Dirichlet Model for Unsupervised Entity Resolution. - Indrajit Bhattacharya; Lise Getoor (SDM, 2006)

Collective Entity Resolution In Relational Data. - Indrajit Bhattacharya (2006)

Online Collective Entity Resolution. - Indrajit Bhattacharya; Lise Getoor (AAAI, 2007)

Query-time Entity Resolution. - Indrajit Bhattacharya; Lise Getoor (J. Artif. Intell. Res., 2007)

Collective entity resolution in relational data. - Indrajit Bhattacharya; Lise Getoor (ACM Trans. Knowl. Discov. Data, 2007)

Structured entity identification and document categorization: two tasks with one joint model. - Indrajit Bhattacharya; Shantanu Godbole; Sachindra Joshi (KDD, 2008)

Cross-Guided Clustering: Transfer of Relevant Supervision across Domains for Improved Clustering. - Indrajit Bhattacharya; Shantanu Godbole; Sachindra Joshi; Ashish Verma 001 (ICDM, 2009)

Enabling analysts in managed services for CRM analytics. - Indrajit Bhattacharya; Shantanu Godbole; Ajay Gupta; Ashish Verma 001; Jeff Achtermann; Kevin English (KDD, 2009)

Building re-usable dictionary repositories for real-world text mining. - Shantanu Godbole; Indrajit Bhattacharya; Ajay Gupta; Ashish Verma 001 (CIKM, 2010)

A Cluster-Level Semi-supervision Model for Interactive Clustering. - Avinava Dubey; Indrajit Bhattacharya; Shantanu Godbole (ECML/PKDD (1), 2010)

Entity Resolution. - Indrajit Bhattacharya; Lise Getoor (Encyclopedia of Machine Learning, 2010)

Probabilistic Topic Models. - Indrajit Bhattacharya (COMAD, 2011)

Learning Dirichlet Processes from Partially Observed Groups. - Avinava Dubey; Indrajit Bhattacharya; Mrinal Kanti Das; Tanveer A. Faruquie; Chiranjib Bhattacharyya (ICDM, 2011)

Exploiting Coherence for the Simultaneous Discovery of Latent Facets and associated Sentiments. - Himabindu Lakkaraju; Chiranjib Bhattacharyya; Indrajit Bhattacharya; Srujana Merugu (SDM, 2011)

Dynamic Multi-relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media. - Himabindu Lakkaraju; Indrajit Bhattacharya; Chiranjib Bhattacharyya (ICDM, 2012)

Cross-Guided Clustering: Transfer of Relevant Supervision across Tasks. - Indrajit Bhattacharya; Shantanu Godbole; Sachindra Joshi; Ashish Verma 001 (ACM Trans. Knowl. Discov. Data, 2012)

Nested Hierarchical Dirichlet Process for Nonparametric Entity-Topic Analysis. - Priyanka Agrawal; Lavanya Sita Tekumalla; Indrajit Bhattacharya (ECML/PKDD (2), 2013)

A Layered Dirichlet Process for Hierarchical Segmentation of Sequential Grouped Data. - Adway Mitra; Ranganath B. N.; Indrajit Bhattacharya (ECML/PKDD (2), 2013)

Using relationships for matching textual domain models with existing code. - Raghavan Komondoor; Indrajit Bhattacharya; Deepak D'Souza; Sachin Kale (WCRE, 2013)

An Efficient and Secured Routing Protocol for VANET. - Indrajit Bhattacharya; Subhash Ghosh; Debashis Show (FICTA (2), 2014)

A bayesian framework for estimating properties of network diffusions. - Varun R. Embar; Rama Kumar Pasumarthi; Indrajit Bhattacharya (KDD, 2014)

Online Topic-based Social Influence Analysis for the Wimbledon Championships. - Varun R. Embar; Indrajit Bhattacharya; Vinayaka Pandit; Roman Vaculín (KDD, 2015)

Nested Hierarchical Dirichlet Processes for Multi-Level Non-Parametric Admixture Modeling. - Lavanya Sita Tekumalla; Priyanka Agrawal; Indrajit Bhattacharya (CoRR, 2015)

On design and implementation of a scalable and reliable Sync system for delay tolerant challenged networks. - Partha Sarathi Paul 001; Bishakh Chandra Ghosh; Kingshuk De; Sujoy Saha; Subrata Nandi; Subhanjan Saha; Indrajit Bhattacharya; Sandip Chakraborty 001 (COMSNETS, 2016)

Smart navigation and dynamic path planning of a micro-jet in a post disaster scenario. - Tamal Mondal; Jaydeep Roy; Indrajit Bhattacharya; Sandip Chakraborty 001; Arka Saha; Subhanjan Saha (EM-GIS, 2016)

An Optimization Approach for Matching Textual Domain Models with Existing Code. - Tejas Patil; Raghavan Komondoor; Deepak D'Souza; Indrajit Bhattacharya (ICSME, 2016)

DirMove: direction of movement based routing in DTN architecture for post-disaster scenario. - Amit Kumar Gupta; Indrajit Bhattacharya; Parthasarathi Banerjee; Jyotsna Kumar Mandal; Animesh Mukherjee 001 (Wirel. Networks, 2016)

Use of Infrastructure-Less Network Architecture for Crowd Sourcing and Periodic Report Generation in Post Disaster Scenario. - Tamal Mondal; Indrajit Bhattacharya; Jaydeep Roy; Mrinmoy Maity (CICBA (1), 2017)

Towards development of FOPL based tweet summarization technique in a post disaster scenario: From survey to solution. - Tamal Mondal; Prithviraj Pramanik; Indrajit Bhattacharya; Arka Saha; Naiwrita Boral (CISS, 2017)

Stance Classification of Context-Dependent Claims. - Roy Bar-Haim; Indrajit Bhattacharya; Francesco Dinuzzo; Amrita Saha; Noam Slonim (EACL (1), 2017)

Mitigating selfish, blackhole and wormhole attacks in DTN in a secure, cooperative way. - Amit Kr. Gupta; Jyotsna Kumar Mandal; Indrajit Bhattacharya (Int. J. Inf. Comput. Secur., 2017)

Entity Resolution. - Indrajit Bhattacharya; Lise Getoor (Encyclopedia of Machine Learning and Data Mining, 2017)

International Workshop on Legal Data Analytics and Mining (LeDAM 2018): Preface to the Proceedings. - Arindam Pal 001; Arnab Bhattacharya 001; Indrajit Bhattacharya; Kripabandhu Ghosh; Lipika Dey; Marie-Francine Moens; Saptarshi Ghosh 001 (CIKM Workshops, 2018)

Discovering Topical Interactions in Text-Based Cascades Using Hidden Markov Hawkes Processes. - Jayesh Choudhari; Anirban Dasgupta 001; Indrajit Bhattacharya; Srikanta Bedathur (ICDM, 2018)

Analysis and Early Detection of Rumors in a Post Disaster Scenario. - Tamal Mondal; Prithviraj Pramanik; Indrajit Bhattacharya; Naiwrita Boral; Saptarshi Ghosh 001 (Inf. Syst. Frontiers, 2018)

A multi-criteria evaluation approach in navigation technique for micro-jet for damage & need assessment in disaster response scenarios. - Tamal Mondal; Indrajit Bhattacharya; Prithviraj Pramanik; Naiwrita Boral; Jaydeep Roy; Subhanjan Saha; Sujoy Saha (Knowl. Based Syst., 2018)

CTMR-collaborative time-stamp based multicast routing for delay tolerant networks in post disaster scenario. - Amit Kumar Gupta; Jyotsna Kumar Mandal; Indrajit Bhattacharya; Tamal Mondal; Sourav Sanu Shaw (Peer-to-Peer Netw. Appl., 2018)

Sensor node assisted DTN for a post-disaster scenario. - Amit Kumar Gupta; Jyotsna Kumar Mandal; Indrajit Bhattacharya (ICDCN, 2019)

A study on rumor propagation trends and features in a post disaster situation. - Tamal Mondal; Tunir Roy; Indrajit Bhattacharya; Sourav Bhattacharya; Indranil Das (ICDCN, 2019)

Enabling Human-Like Task Identification From Natural Conversation. - Pradip Pramanick; Chayan Sarkar; P. Balamuralidhar; Ajay Kattepur; Indrajit Bhattacharya; Arpan Pal 001 (IROS, 2019)

Your instruction may be crisp, but not clear to me! - Pradip Pramanick; Chayan Sarkar; Indrajit Bhattacharya (RO-MAN, 2019)

A study on data aggregation techniques in wireless sensor network in static and dynamic scenarios. - Kaustuv Sarangi; Indrajit Bhattacharya (Innov. Syst. Softw. Eng., 2019)

Designing an Information Bot for an Opportunistic Mobile Environment in Disaster Response Scenario. - Tamal Mondal; Imran Ali; Praveen Kumar; Sujoy Saha; Indrajit Bhattacharya (ICDCN, 2020)

Discovering Knowledge Graph Schema from Short Natural Language Text via Dialog. - Subhasis Ghosh; Arpita Kundu; Aniket Pramanick; Indrajit Bhattacharya (SIGdial, 2020)

Learning Knowledge Graph for Target-driven Schema Matching. - Debayan Mukherjee; Atreya Bandyopadhyay; Rajdip Chowdhury; Indrajit Bhattacharya (COMAD/CODS, 2021)

Joint Learning of Representations for Web-tables, Entities and Types using Graph Convolutional Network. - Aniket Pramanick; Indrajit Bhattacharya (EACL, 2021)

Complex Question Answering on knowledge graphs using machine translation and multi-task learning. - Saurabh Srivastava; Mayur Patidar; Sudip Chowdhury; Puneet Agarwal; Indrajit Bhattacharya; Gautam Shroff (EACL, 2021)

Learning-based Assistant for Data Migration of Enterprise Information Systems. - Sayandeep Mitra; Debayan Mukherjee; Atreya Bandyopadhyay; Rajdip Chowdhury; Raveendra Kumar Medicherla; Indrajit Bhattacharya; Ravindra Naik (ASE, 2021)

Generating An Optimal Interview Question Plan Using A Knowledge Graph And Integer Linear Programming. - Soham Datta; Prabir Mallick; Sangameshwar Patil; Indrajit Bhattacharya; Girish K. Palshikar (NAACL-HLT, 2021)

Analyzing Topic Transitions in Text-Based Social Cascades Using Dual-Network Hawkes Process. - Jayesh Choudhari; Srikanta Bedathur; Indrajit Bhattacharya; Anirban Dasgupta 001 (PAKDD (1), 2021)

Semi-structured Document Annotation Using Entity and Relation Types. - Arpita Kundu; Subhasis Ghosh; Indrajit Bhattacharya (ECML/PKDD (3), 2021)

Semantic Templates for Generating Long-Form Technical Questions. - Samiran Pal; Avinash Kumar Singh; Soham Datta; Sangameshwar Patil; Indrajit Bhattacharya; Girish Keshav Palshikar (TDS, 2021)

An UAV Assisted Need Assessment and Prediction System for COVID-19 Vaccination. - Mrinmoy Sadhukhan; Swaraj Chowdhury; Manish Biswas; Indrajit Bhattacharya; Sudakshina Dasgupta (CICBA, 2022)

A Weak Supervision Approach for Predicting Difficulty of Technical Interview Questions. - Arpita Kundu; Subhasish Ghosh; Pratik Saini; Tapas Nayak; Indrajit Bhattacharya (COLING, 2022)

Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions. - Mayur Patidar; Prayushi Faldu; Avinash Kumar Singh; Lovekesh Vig; Indrajit Bhattacharya; Mausam (ACL (1), 2023)

Comparative Survey of Various Intelligent Methods for Breast Cancer Diagnosis and Prognosis. - Manik Mondal; Sudakshina Dasgupta; Indrajit Bhattacharya (ICCCNT, 2023)

Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks? - Pratik Saini; Tapas Nayak; Indrajit Bhattacharya (IJCNLP (2), 2023)

A Two-step Approach for Handling Zero-Cardinality in Relation Extraction. - Pratik Saini; Tapas Nayak; Samiran Pal; Indrajit Bhattacharya (CoRR, 2023)

Adapting Pre-trained Generative Models for Extractive Question Answering. - Prabir Mallick; Tapas Nayak; Indrajit Bhattacharya (CoRR, 2023)

Combining Transfer Learning with In-context Learning using Blackbox LLMs for Zero-shot Knowledge Base Question Answering. - Mayur Patidar; Avinash Kumar Singh; Riya Sawhney; Indrajit Bhattacharya; Mausam (CoRR, 2023)

RetinaQA: A Robust Knowledge Base Question Answering Model for both Answerable and Unanswerable Questions. - Prayushi Faldu; Indrajit Bhattacharya; Mausam (ACL (1), 2024)

Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning. - Mayur Patidar; Riya Sawhney; Avinash Kumar Singh; Biswajit Chatterjee; Mausam; Indrajit Bhattacharya (ACL (1), 2024)

Semantic Annotation of Relational Schemas Using a Probabilistic Generative Model. - Debayan Mukherjee; Atreya Bandyopadhyay; Soham Datta; Indrajit Bhattacharya (COMAD/CODS, 2024)

Performance Analysis of Tweet Summarization Techniques Considering Crisis Dynamics. - Shrikant Manikarao Mahindrakar; Tamal Mondal; Amol Dhakne; Shirshendu Arosh; Indrajit Bhattacharya (ICDCN, 2024)

FUGAN: A GAN Based Facial Reconstructor for Accurate Unveiling of Hidden Faces. - Mrinmoy Sadhukhan; Indrajit Bhattacharya; Paramartha Dutta (ICPR (6), 2024)

RETINAQA : A Knowledge Base Question Answering Model Robust to both Answerable and Unanswerable Questions. - Prayushi Faldu; Indrajit Bhattacharya; Mausam (CoRR, 2024)

Robust Few-shot Transfer Learning for Knowledge Base Question Answering with Unanswerable Questions. - Riya Sawhney; Indrajit Bhattacharya; Mausam (CoRR, 2024)

Iterative Repair with Weak Verifiers for Few-shot Transfer in KBQA with Unanswerability. - Riya Sawhney; Samrat Yadav; Indrajit Bhattacharya; Mausam (ACL (Findings), 2025)

Opinion classification at subtopic level from COVID vaccination-related tweets. - Mrinmoy Sadhukhan; Pramita Bhattacherjee; Tamal Mondal; Sudakshina Dasgupta; Indrajit Bhattacharya (Innov. Syst. Softw. Eng., 2025)