Arnab Bhattacharya

168 papers A* 13A 5B 8C 2Misc 9Journal 70Unranked 52
YearRankTypeTitle / Venue / Authors
2026 J jnl
BhashaSetu: Cross-Lingual Knowledge Transfer from High-Resource to Extreme Low-Resource Languages.
CoRR
Subhadip Maji, Arnab Bhattacharya
2026 J jnl
INDIC DIALECT: A Multi Task Benchmark to Evaluate and Translate in Indian Language Dialects.
CoRR
Tarun Sharma, Manikandan Ravikiran, Sourava Kumar Behera, Pramit Bhattacharya, Arnab Bhattacharya, Rohit Saluja
2026 J jnl
Lexical and Statistical Analysis of Bangla Newspaper and Literature: A Corpus-Driven Study on Diversity, Readability, and NLP Adaptation.
CoRR
Pramit Bhattacharyya, Arnab Bhattacharya
2025 — conf
A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMs.
ACL (Findings)
V. S. D. S. Mahesh Akavarapu, Hrishikesh Terdalkar, Pramit Bhattacharyya, Shubhangi Agarwal, Vishakha Deulgaonkar, Chaitali Dangarikar, Pralay Manna, Arnab Bhattacharya
2025 J jnl
A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMs.
CoRR
V. S. D. S. Mahesh Akavarapu, Hrishikesh Terdalkar, Pramit Bhattacharyya, Shubhangi Agarwal, Vishakha Deulgaonkar, Pralay Manna, Chaitali Dangarikar, Arnab Bhattacharya
2025 — conf
BanglaByT5: Byte-Level Modelling for Bangla.
EMNLP (Findings)
Pramit Bhattacharyya, Arnab Bhattacharya
2025 J jnl
BanglaByT5: Byte-Level Modelling for Bangla.
CoRR
Pramit Bhattacharyya, Arnab Bhattacharya
2025 — conf
BhashaSetu: Cross-Lingual Knowledge Transfer from High-Resource to Extreme Low-Resource Languages.
IJCNLP-AACL (long papers)
Subhadip Maji, Arnab Bhattacharya
2025 J jnl
IBPS: Indian Bail Prediction System.
CoRR
Puspesh Kumar Srivastava, Uddeshya Raj, Praveen Patel, Shubham Kumar Nigam, Noel Shallum, Arnab Bhattacharya
2025 — conf
LegalSeg: Unlocking the Structure of Indian Legal Judgments Through Rhetorical Role Classification.
NAACL (Findings)
Shubham Kumar Nigam, Tanmay Dubey, Govind Sharma, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya
2025 J jnl
LegalSeg: Unlocking the Structure of Indian Legal Judgments Through Rhetorical Role Classification.
CoRR
Shubham Kumar Nigam, Tanmay Dubey, Govind Sharma, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya
2025 — conf
Leveraging LLMs for Bangla Grammar Error Correction: Error Categorization, Synthetic Data, and Model Evaluation.
ACL (Findings)
Pramit Bhattacharyya, Arnab Bhattacharya
2025 B conf
NYAYAANUMANA and INLEGALLLAMA: The Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model for Enhanced Decision Analysis.
COLING
Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya
2025 — conf
NyayaRAG: Realistic Legal Judgment Prediction with RAG under the Indian Common Law System.
IJCNLP-AACL (long papers)
Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra, Ajay Varghese Thomas, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya
2025 J jnl
NyayaRAG: Realistic Legal Judgment Prediction with RAG under the Indian Common Law System.
CoRR
Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra, Ajay Varghese Thomas, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya
2025 J jnl
ReGal: A First Look at PPO-based Legal AI for Judgment Prediction and Summarization in India.
CoRR
Shubham Kumar Nigam, Tanuj Tyagi, Siddharth Shukla, Aditya Kumar Guru, Balaramamahanthi Deepak Patnaik, Danush Khanna, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya
2025 J jnl
Seeing Justice Clearly: Handwritten Legal Document Translation with OCR and Vision-Language Models.
CoRR
Shubham Kumar Nigam, Parjanya Aditya Shukla, Noel Shallum, Arnab Bhattacharya
2025 J jnl
Segment First, Retrieve Better: Realistic Legal Search via Rhetorical Role-Based Queries.
CoRR
Shubham Kumar Nigam, Tanmay Dubey, Noel Shallum, Arnab Bhattacharya
2025 J jnl
Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDastaavej.
CoRR
Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Ajay Varghese Thomas, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya
2025 — conf
TathyaNyaya and FactLegalLlama: Advancing Factual Judgment Prediction and Explanation in the Indian Legal Context.
IJCNLP-AACL (Findings)
Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya
2025 J jnl
TathyaNyaya and FactLegalLlama: Advancing Factual Judgment Prediction and Explanation in the Indian Legal Context.
CoRR
Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya
2024 — conf
A Likelihood Ratio Test of Genetic Relationship among Languages.
NAACL-HLT
V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya
2024 J jnl
A Likelihood Ratio Test of Genetic Relationship among Languages.
CoRR
V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya
2024 — conf
Automated Cognate Detection as a Supervised Link Prediction Task with Cognate Transformer.
EACL (1)
V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya
2024 J jnl
Automated Cognate Detection as a Supervised Link Prediction Task with Cognate Transformer.
CoRR
V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya
2024 — conf
Forecasting of Fog Index and Prediction Interval using Bayesian Methods.
COMAD/CODS (December)
Kriti Bajaj, Ushakiran Mannam, Prasad Deshpande, Yash Prakash Patil, Arnab Bhattacharya, Shivam Tripathi
2024 — conf
Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courts.
ACL (Findings)
Shubham Kumar Nigam, Anurag Sharma, Danush Khanna, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya
2024 J jnl
Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courts.
CoRR
Shubham Kumar Nigam, Anurag Sharma, Danush Khanna, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya
2024 J jnl
NyayaAnumana & INLegalLlama: The Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model for Enhanced Decision Analysis.
CoRR
Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya
2024 J jnl
PARAMANU-AYN: An Efficient Novel Generative and Instruction-tuned Language Model for Indian Legal Case Documents.
CoRR
Mitodru Niyogi, Arnab Bhattacharya
2024 J jnl
PARAMANU-GANITA: Language Model with Mathematical Capabilities.
CoRR
Mitodru Niyogi, Arnab Bhattacharya
2024 J jnl
Paramanu: A Family of Novel Efficient Indic Generative Foundation Language Models.
CoRR
Mitodru Niyogi, Arnab Bhattacharya
2024 J jnl
RSVP: Beyond Weisfeiler Lehman Graph Isomorphism Test.
CoRR
Sourav Dutta, Arnab Bhattacharya
2024 J jnl
Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models.
CoRR
Shubham Kumar Nigam, Aniket Deroy, Subhankar Maity, Arnab Bhattacharya
2024 — conf
Short-Term Fog Forecasting using Meteorological Observations at Airports in North India.
COMAD/CODS
Shruti Sharma, Kriti Bajaj, Prasad Deshpande, Arnab Bhattacharya, Shivam Tripathi
2024 J jnl
VAIYAKARANA : A Benchmark for Automatic Grammar Correction in Bangla.
CoRR
Pramit Bhattacharyya, Arnab Bhattacharya
2024 — conf
VeNoM: Approximate Subgraph Matching with Enhanced Neighbourhood Structural Information.
COMAD/CODS
Shubhangi Agarwal, Sourav Dutta, Arnab Bhattacharya
2023 J jnl
Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language Annotation.
CoRR
Hrishikesh Terdalkar, Arnab Bhattacharya
2023 A* conf
Cognate Transformer for Automated Phonological Reconstruction and Cognate Reflex Prediction.
EMNLP
V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya
2023 J jnl
Cognate Transformer for Automated Phonological Reconstruction and Cognate Reflex Prediction.
CoRR
V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya
2023 J jnl
Comparative Analysis of Artificial Intelligence for Indian Legal Question Answering (AILQA) Using Different Retrieval and QA Models.
CoRR
Shubham Kumar Nigam, Shubham Kumar Mishra, Ayush Kumar Mishra, Noel Shallum, Arnab Bhattacharya
2023 J jnl
Framework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs.
CoRR
Hrishikesh Terdalkar, Arnab Bhattacharya
2023 — conf
Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation.
SemEval@ACL
Shubham Kumar Nigam, Aniket Deroy, Noel Shallum, Ayush Kumar Mishra, Anup Roy, Shubham Kumar Mishra, Arnab Bhattacharya, Saptarshi Ghosh, Kripabandhu Ghosh
2023 J jnl
Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation.
CoRR
Shubham Kumar Nigam, Aniket Deroy, Noel Shallum, Ayush Kumar Mishra, Anup Roy, Shubham Kumar Mishra, Arnab Bhattacharya, Saptarshi Ghosh, Kripabandhu Ghosh
2023 A* conf
Task and Model Agnostic Adversarial Attack on Graph Neural Networks.
AAAI
Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu
2023 — conf
VACASPATI: A Diverse Corpus of Bangla Literature.
IJCNLP (1)
Pramit Bhattacharyya, Joydeep Mondal, Subhadip Maji, Arnab Bhattacharya
2023 J jnl
Vacaspati: A Diverse Corpus of Bangla Literature.
CoRR
Pramit Bhattacharyya, Joydeep Mondal, Subhadip Maji, Arnab Bhattacharya
2022 J jnl
Chandojnanam: A Sanskrit Meter Identification and Utilization System.
CoRR
Hrishikesh Terdalkar, Arnab Bhattacharya
2022 C conf
Comparison of In-Situ FOG Observations with Insat-3D Satellite FOG Product for North Indian Cities.
IGARSS
Prasad Deshpande, Shivam Tripathi, Arnab Bhattacharya
2022 — ed.
Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part I
DASFAA (1)
Arnab Bhattacharya, Janice Lee, Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh K. Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran
2022 — ed.
Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part II
DASFAA (2)
Arnab Bhattacharya, Janice Lee, Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh K. Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran
2022 — ed.
Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part III
DASFAA (3)
Arnab Bhattacharya, Janice Lee, Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh K. Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran
2022 — conf
HLDC: Hindi Legal Documents Corpus.
ACL (Findings)
Arnav Kapoor, Mudit Dhawan, Anmol Goel, T. H. Arjun, Akshala Bhatnagar, Vibhu Agrawal, Amul Agrawal, Arnab Bhattacharya, Ponnurangam Kumaraguru, Ashutosh Modi
2022 J jnl
HLDC: Hindi Legal Documents Corpus.
CoRR
Arnav Kapoor, Mudit Dhawan, Anmol Goel, T. H. Arjun, Akshala Bhatnagar, Vibhu Agrawal, Amul Agrawal, Arnab Bhattacharya, Ponnurangam Kumaraguru, Ashutosh Modi
2022 — conf
Prediction of CardioVascular Disease (CVD) using Ensemble Learning Algorithms.
COMAD/CODS
C. Oswald, Gadi Jaya Sathwika, Arnab Bhattacharya
2022 J jnl
Predictions of Reynolds and Nusselt numbers in turbulent convection using machine-learning models.
CoRR
Shashwat Bhattacharya, Mahendra K. Verma, Arnab Bhattacharya
2022 J jnl
Report on the 2nd Symposium on Artificial Intelligence and Law (SAIL) 2022.
SIGIR Forum
Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Arnab Bhattacharya, Partha Pratim Chakrabarti, Shouvik Kumar Guha, Arindam Pal, Koustav Rudra, Prasenjit Majumder, Dwaipayan Roy, Ayan Bandopadhyay, Procheta Sen, Paheli Bhattacharya, Aniket Deroy, Upal Bhattacharya, Subinay Adhikary, Subham Kumar Nigam
2022 J jnl
Semantic Annotation and Querying Framework based on Semi-structured Ayurvedic Text.
CoRR
Hrishikesh Terdalkar, Arnab Bhattacharya, Madhulika Dubey, Ramamurthy S, Bhavna Naneria Singh
2022 — conf
Semantic Segmentation of Legal Documents via Rhetorical Roles.
NLLP@EMNLP
Vijit Malik, Rishabh Sanjay, Shouvik Kumar Guha, Angshuman Hazarika, Shubham Kumar Nigam, Arnab Bhattacharya, Ashutosh Modi
2022 J jnl
SpotSpam: Intention Analysis-driven SMS Spam Detection Using BERT Embeddings.
ACM Trans. Web
C. Oswald, Sona Elza Simon, Arnab Bhattacharya
2022 — conf
nigam@COLIEE-22: Legal Case Retrieval and Entailment Using Cascading of Lexical and Semantic-Based Models.
JSAI-isAI Workshops
Shubham Kumar Nigam, Navansh Goel, Arnab Bhattacharya
2021 — conf
AILA 2021: Shared task on Artificial Intelligence for Legal Assistance.
FIRE
Vedant Parikh, Upal Bhattacharya, Parth Mehta, Ayan Bandyopadhyay, Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder
2021 A conf
Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs.
CIKM
Garima Gaur, Abhishek Dang, Arnab Bhattacharya, Srikanta Bedathur
2021 J jnl
Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs.
CoRR
Garima Gaur, Abhishek Dang, Arnab Bhattacharya, Srikanta Bedathur
2021 — conf
Exploring State-of-the-Art Nearest Neighbor (NN) Search Techniques.
COMAD/CODS
Parth Nagarkar, Arnab Bhattacharya, Omid Jafari
2021 A* conf
GraphReach: Position-Aware Graph Neural Network using Reachability Estimations.
IJCAI
Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu
2021 — conf
ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation.
ACL/IJCNLP (1)
Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, Kripabandhu Ghosh, Shouvik Kumar Guha, Arnab Bhattacharya, Ashutosh Modi
2021 J jnl
ILDC for CJPE: Indian Legal Documents Corpus for Court JudgmentPrediction and Explanation.
CoRR
Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, Kripabandhu Ghosh, Shouvik Kumar Guha, Arnab Bhattacharya, Ashutosh Modi
2021 — conf
Overview of the Third Shared Task on Artificial Intelligence for Legal Assistance at FIRE 2021.
FIRE (Working Notes)
Vedant Parikh, Upal Bhattacharya, Parth Mehta, Ayan Bandyopadhyay, Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder
2021 J jnl
Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs.
CoRR
Hrishikesh Terdalkar, Arnab Bhattacharya
2021 — conf
Sangrahaka: a tool for annotating and querying knowledge graphs.
ESEC/SIGSOFT FSE
Hrishikesh Terdalkar, Arnab Bhattacharya
2021 J jnl
Semantic Segmentation of Legal Documents via Rhetorical Roles.
CoRR
Vijit Malik, Rishabh Sanjay, Shouvik Kumar Guha, Shubham Kumar Nigam, Angshuman Hazarika, Arnab Bhattacharya, Ashutosh Modi
2021 J jnl
TIPS: Mining Top-K Locations to Minimize User-Inconvenience for Trajectory-Aware Services.
IEEE Trans. Knowl. Data Eng.
Shubhadip Mitra, Priya Saraf, Arnab Bhattacharya
2021 J jnl
Task and Model Agnostic Adversarial Attack on Graph Neural Networks.
CoRR
Kartik Sharma, Samidha Verma, Sourav Medya, Sayan Ranu, Arnab Bhattacharya
2021 A conf
VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality.
CIKM
Shubhangi Agarwal, Sourav Dutta, Arnab Bhattacharya
2021 J jnl
VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality.
CoRR
Shubhangi Agarwal, Sourav Dutta, Arnab Bhattacharya
2020 J jnl
ChiSeL: Graph Similarity Search using Chi-Squared Statistics in Large Probabilistic Graphs.
Proc. VLDB Endow.
Shubhangi Agarwal, Sourav Dutta, Arnab Bhattacharya
2020 — conf
FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance.
FIRE
Paheli Bhattacharya, Parth Mehta, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder
2020 J jnl
GraphReach: Locality-Aware Graph Neural Networks using Reachability Estimations.
CoRR
Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu
2020 A conf
How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs.
CIKM
Garima Gaur, Arnab Bhattacharya, Srikanta Bedathur
2020 J jnl
How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs.
CoRR
Garima Gaur, Arnab Bhattacharya, Srikanta Bedathur
2020 — conf
Overview of the FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance.
FIRE (Working Notes)
Paheli Bhattacharya, Parth Mehta, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder
2019 — conf
FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance.
FIRE
Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Parth Mehta, Arnab Bhattacharya, Prasenjit Majumder
2019 — conf
GRADES-NDA 2019: Joint International Workshop on Graph Data Management Experiences & Systems and Network Data Analytics.
SIGMOD Conference
Akhil Arora, Arnab Bhattacharya, George H. L. Fletcher
2019 — conf
NetClus: A Scalable Framework to Mine Top-K Locations for Placement of Trajectory-Aware Services.
COMAD/CODS
Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu
2019 — conf
Overview of the FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance.
FIRE (Working Notes)
Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Parth Mehta, Arnab Bhattacharya, Prasenjit Majumder
2019 — ed.
Proceedings of the 2nd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Amsterdam, The Netherlands, 30 June 2019
GRADES/NDA@SIGMOD/PODS
Akhil Arora, Arnab Bhattacharya, George H. L. Fletcher
2019 A* conf
RAQ: Relationship-Aware Graph Querying in Large Networks.
WWW
Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya
2018 J jnl
Finding a largest rectangle inside a digital object and rectangularization.
J. Comput. Syst. Sci.
Apurba Sarkar, Arindam Biswas, Mousumi Dutt, Arnab Bhattacharya
2018 — conf
Finding shell company accounts using anomaly detection.
COMAD/CODS
Devendra Kumar Luna, Girish Keshav Palshikar, Manoj Apte, Arnab Bhattacharya
2018 J jnl
HD-Index: Pushing the Scalability-Accuracy Boundary for Approximate kNN Search in High-Dimensional Spaces.
CoRR
Akhil Arora, Sakshi Sinha, Piyush Kumar, Arnab Bhattacharya
2018 J jnl
HD-Index: Pushing the Scalability-Accuracy Boundary for Approximate kNN Search in High-Dimensional Spaces.
Proc. VLDB Endow.
Akhil Arora, Sakshi Sinha, Piyush Kumar, Arnab Bhattacharya
2018 J jnl
Identifying User Intent and Context in Graph Queries.
CoRR
Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya
2018 — ch.
Image Management for Biological Data.
Encyclopedia of Database Systems (2nd ed.)
Arnab Bhattacharya, Vebjorn Ljosa
2018 — conf
International Workshop on Legal Data Analytics and Mining (LeDAM 2018): Preface to the Proceedings.
CIKM Workshops
Arindam Pal, Arnab Bhattacharya, Indrajit Bhattacharya, Kripabandhu Ghosh, Lipika Dey, Marie-Francine Moens, Saptarshi Ghosh
2018 — conf
LDA Topic Modeling Based Dataset Dependency Matrix Prediction.
CICBA (2)
Hindol Bhattacharya, Arnab Bhattacharya, Samiran Chattopadhyay, Matangini Chattopadhyay
2018 J jnl
Learning Multilingual Embeddings for Cross-Lingual Information Retrieval in the Presence of Topically Aligned Corpora.
CoRR
Mitodru Niyogi, Kripabandhu Ghosh, Arnab Bhattacharya
2018 — conf
MineAr: using crowd knowledge for mining association rules in the health domain.
COMAD/CODS
Milan Someswar, Arnab Bhattacharya
2018 Misc conf
Patterns for Indexing Large Datasets.
EuroPLoP
Garima Gaur, Sumit Kalra, Arnab Bhattacharya
2018 — ed.
Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Houston, TX, USA, June 10, 2018
GRADES/NDA@SIGMOD/PODS
Akhil Arora, Arnab Bhattacharya, George H. L. Fletcher, Josep Lluís Larriba-Pey, Shourya Roy, Robert West
2017 B conf
Automatic Grading and Feedback using Program Repair for Introductory Programming Courses.
ITiCSE
Sagar Parihar, Ziyaan Dadachanji, Praveen Kumar Singh, Rajdeep Das, Amey Karkare, Arnab Bhattacharya
2017 A* conf
K-Dominant Skyline Join Queries: Extending the Join Paradigm to K-Dominant Skylines.
ICDE
Anuradha Awasthi, Arnab Bhattacharya, Sanchit Gupta, Ujjwal Kumar Singh
2017 J jnl
K-Dominant Skyline Join Queries: Extending the Join Paradigm to K-Dominant Skylines.
CoRR
Anuradha Awasthi, Arnab Bhattacharya, Sanchit Gupta, Ujjwal Kumar Singh
2017 A* conf
Neighbor-Aware Search for Approximate Labeled Graph Matching using the Chi-Square Statistics.
WWW
Sourav Dutta, Pratik Nayek, Arnab Bhattacharya
2017 A* conf
NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services.
ICDE
Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu, Harsh Bhandari
2017 J jnl
NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services.
CoRR
Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Harsh Bhandari, Sayan Ranu
2017 — conf
Optimal Algorithms for Min-Closed, Max-Closed and Arc Consistency over Connected Row Convex Constraints.
COMPUTE
Shubhadip Mitra, Partha Dutta, Arnab Bhattacharya
2017 — conf
Overview of the FIRE 2017 IRLeD Track: Information Retrieval from Legal Documents.
FIRE (Working Notes)
Arpan Mandal, Kripabandhu Ghosh, Arnab Bhattacharya, Arindam Pal, Saptarshi Ghosh
2017 — ed.
Proceedings of the 2nd International Workshop on Network Data Analytics, NDA@SIGMOD 2017, Chicago, IL, USA, May 19, 2017
NDA@SIGMOD
Akhil Arora, Shourya Roy, Arnab Bhattacharya
2017 J jnl
SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries.
Proc. VLDB Endow.
Shiladitya Pande, Sayan Ranu, Arnab Bhattacharya
2017 — conf
Stopword Removal: Why Bother? A Case Study on Verbose Queries.
COMPUTE
Kripabandhu Ghosh, Arnab Bhattacharya
2017 J jnl
TIPS: Mining Top-K Locations to Minimize User-Inconvenience for Trajectory-Aware Services.
CoRR
Shubhadip Mitra, Priya Saraf, Arnab Bhattacharya
2017 A conf
Tracking the Impact of Fact Deletions on Knowledge Graph Queries using Provenance Polynomials.
CIKM
Garima Gaur, Srikanta J. Bedathur, Arnab Bhattacharya
2016 — conf
Finding Largest Rectangle Inside a Digital Object.
CTIC
Apurba Sarkar, Arindam Biswas, Mousumi Dutt, Arnab Bhattacharya
2016 J jnl
GARUDA: A System for Large-Scale Mining of Statistically Significant Connected Subgraphs.
Proc. VLDB Endow.
Satyajit Bhadange, Akhil Arora, Arnab Bhattacharya
2016 B conf
SMS: Stable Matching Algorithm using Skylines.
SSDBM
Rohit Anurag, Arnab Bhattacharya
2016 Misc conf
SkyCover: Finding Range-Constrained Approximate Skylines with Bounded Quality Guarantees.
COMAD
Shubhendu Aggarwal, Shubhadip Mitra, Arnab Bhattacharya
2015 — conf
Generation of Random Digital Curves Using Combinatorial Techniques.
CALDAM
Apurba Sarkar, Arindam Biswas, Mousumi Dutt, Arnab Bhattacharya
2015 — conf
Generation of Random Triangular Digital Curves Using Combinatorial Techniques.
PReMI
Apurba Sarkar, Arindam Biswas, Mousumi Dutt, Arnab Bhattacharya
2015 — conf
Mining Wikileaks Data to Identify Sentiment Polarities in International Relationships.
DASFAA Workshops
Arpit Jain, Arnab Bhattacharya
2015 B conf
Probabilistic aggregate skyline join queries: skylines with aggregate operations over existentially uncertain relations.
SSDBM
Arnab Bhattacharya, Shrikant Awate
2015 J jnl
Trajectory Aware Macro-cell Planning for Mobile Users.
CoRR
Shubhadip Mitra, Sayan Ranu, Vinay Kolar, Aditya Telang, Arnab Bhattacharya, Ravi Kokku, Sriram Raghavan
2015 A* conf
Trajectory aware macro-cell planning for mobile users.
INFOCOM
Shubhadip Mitra, Sayan Ranu, Vinay Kolar, Aditya Telang, Arnab Bhattacharya, Ravi Kokku, Sriram Raghavan
2015 — conf
Using social connections to improve collaborative filtering.
CODS
Kanish Manuja, Arnab Bhattacharya
2014 — conf
Efficient and Effective Route Planning in Road Networks with Probabilistic Data using Skyline Paths.
CODS
Arzoo Katiyar, Arnab Bhattacharya, Shubhadip Mitra
2014 — conf
Emotion Recognition from Audio and Visual Data using F-score based Fusion.
CODS
Abhishek Gera, Arnab Bhattacharya
2014 — conf
Mining statistically significant connected subgraphs in vertex labeled graphs.
SIGMOD Conference
Akhil Arora, Mayank Sachan, Arnab Bhattacharya
2013 Misc ed.
19th International Conference on Management of Data, COMAD 2013, Ahmedabad, India, December 19-21, 2013
COMOD
Bipin V. Mehta, Nikos Mamoulis, Arnab Bhattacharya, Maya Ramanath
2013 J jnl
Constraint Satisfaction over Generalized Staircase Constraints
CoRR
Shubhadip Mitra, Partha Dutta, Arnab Bhattacharya
2013 — conf
Efficient edit distance based string similarity search using deletion neighborhoods.
EDBT/ICDT Workshops
Shashwat Mishra, Tejas Gandhi, Akhil Arora, Arnab Bhattacharya
2013 — conf
Evolution of the Modern Phase of Written Bangla: A Statistical Study.
MIKE
Paheli Bhattacharya, Arnab Bhattacharya
2013 J jnl
Evolution of the Modern Phase of Written Bangla: A Statistical Study.
CoRR
Paheli Bhattacharya, Arnab Bhattacharya
2013 A conf
RCached-tree: an index structure for efficiently answering popular queries.
CIKM
Manash Pal, Arnab Bhattacharya, Debjyoti Paul
2012 — conf
A Plant Identification System using Shape and Morphological Features on Segmented Leaflets: Team IITK, CLEF 2012.
CLEF (Online Working Notes/Labs/Workshop)
Akhil Arora, Ankit Gupta, Nitesh Bagmar, Shashwat Mishra, Arnab Bhattacharya
2012 J jnl
Aggregate Skyline Join Queries: Skylines with Aggregate Operations over Multiple Relations
CoRR
Arnab Bhattacharya, B. Palvali Teja
2012 Misc conf
Hybrid HBase: Leveraging Flash SSDs to Improve Cost per Throughput of HBase.
COMAD
Anurag Awasthi, Avani Nandini, Arnab Bhattacharya, Priya Sehgal
2012 J jnl
INSTRUCT: Space-Efficient Structure for Indexing and Complete Query Management of String Databases
CoRR
Sourav Dutta, Arnab Bhattacharya
2012 J jnl
Minimally Infrequent Itemset Mining using Pattern-Growth Paradigm and Residual Trees
CoRR
Ashish Gupta, Akshay Mittal, Arnab Bhattacharya
2012 J jnl
Mining Statistically Significant Substrings using the Chi-Square Statistic
CoRR
Mayank Sachan, Arnab Bhattacharya
2012 J jnl
Mining Statistically Significant Substrings using the Chi-Square Statistic.
Proc. VLDB Endow.
Mayank Sachan, Arnab Bhattacharya
2012 Misc ed.
Proceedings of the 18th International Conference on Management of Data, COMAD 2012, 2012, Pune, India
COMOD
Chandrashekhar Sahasrabuddhe, Amr El Abbadi, Karin Murthy, Arnab Bhattacharya
2011 A* conf
A continuous query system for dynamic route planning.
ICDE
Nirmesh Malviya, Samuel Madden, Arnab Bhattacharya
2011 J jnl
Caching Stars in the Sky: A Semantic Caching Approach to Accelerate Skyline Queries
CoRR
Arnab Bhattacharya, B. Palvali Teja, Sourav Dutta
2011 — conf
Caching Stars in the Sky: A Semantic Caching Approach to Accelerate Skyline Queries.
DEXA (2)
Arnab Bhattacharya, B. Palvali Teja, Sourav Dutta
2011 A* conf
Finding the bias and prestige of nodes in networks based on trust scores.
WWW
Abhinav Mishra, Arnab Bhattacharya
2011 Misc conf
Minimally Infrequent Itemset Mining using Pattern-Growth Paradigm and Residual Trees.
COMAD
Ashish Gupta, Akshay Mittal, Arnab Bhattacharya
2010 Misc conf
Aggregate Skyline Join Queries: Skylines with Aggregate Operations over Multiple Relations.
COMAD
Arnab Bhattacharya, B. Palvali Teja
2010 B conf
Finding Top-k Similar Pairs of Objects Annotated with Terms from an Ontology.
SSDBM
Arnab Bhattacharya, Abhishek Bhowmick, Ambuj K. Singh
2010 J jnl
Finding top-k similar pairs of objects annotated with terms from an ontology
CoRR
Arnab Bhattacharya, Abhishek Bhowmick, Ambuj K. Singh
2010 Misc conf
INSTRUCT - Space-Efficient Structure for Indexing and Complete Query Management of String Databases.
COMAD
Sourav Dutta, Arnab Bhattacharya
2010 J jnl
Minimum Spanning Tree on Spatio-Temporal Networks
CoRR
Viswanath Gunturi, Shashi Shekhar, Arnab Bhattacharya
2010 — conf
Minimum Spanning Tree on Spatio-Temporal Networks.
DEXA (2)
Viswanath Gunturi, Shashi Shekhar, Arnab Bhattacharya
2010 J jnl
Mining Statistically Significant Substrings Based on the Chi-Square Measure
CoRR
Sourav Dutta, Arnab Bhattacharya
2010 — conf
Most Significant Substring Mining Based on Chi-square Measure.
PAKDD (1)
Sourav Dutta, Arnab Bhattacharya
2010 B conf
Querying spatial patterns.
EDBT
Vishwakarma Singh, Arnab Bhattacharya, Ambuj K. Singh
2010 — ed.
Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010. Proceedings
SEAL
Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis, Kay Chen Tan
2009 J jnl
Finding Significant Subregions in Large Image Databases
CoRR
Vishwakarma Singh, Arnab Bhattacharya, Ambuj K. Singh
2009 — ch.
Image Management for Biological Data.
Encyclopedia of Database Systems
Arnab Bhattacharya, Vebjorn Ljosa
2009 J jnl
On Low Distortion Embeddings of Statistical Distance Measures into Low Dimensional Spaces
CoRR
Arnab Bhattacharya, Purushottam Kar, Manjish Pal
2009 C conf
On Low Distortion Embeddings of Statistical Distance Measures into Low Dimensional Spaces.
DEXA
Arnab Bhattacharya, Purushottam Kar, Manjish Pal
2008 J jnl
A general modeling and visualization tool for comparing different members of a group: application to studying tau-mediated regulation of microtubule dynamics.
BMC Bioinform.
Arnab Bhattacharya, Sasha Levy, Adria LeBoeuf, Michelle Gaylord, Leslie Wilson, Ambuj K. Singh, Stuart C. Feinstein
2008 B conf
Efficient Computation of Statistical Significance of Query Results in Databases.
SSDBM
Vishwakarma Singh, Arnab Bhattacharya, Ambuj K. Singh
2007 A* conf
MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models.
VLDB
Arnab Bhattacharya, Anand Meka, Ambuj K. Singh
2006 B conf
Indexing Spatially Sensitive Distance Measures Using Multi-resolution Lower Bounds.
EDBT
Vebjorn Ljosa, Arnab Bhattacharya, Ambuj K. Singh
2006 A* conf
LB-Index: A Multi-Resolution Index Structure for Images.
ICDE
Vebjorn Ljosa, Arnab Bhattacharya, Ambuj K. Singh
2005 — conf
Current Challenges in Bioimage Database Design.
CSB Workshops
Ambuj K. Singh, Arnab Bhattacharya, Vebjorn Ljosa
2005 A* conf
ViVo: Visual Vocabulary Construction for Mining Biomedical Images.
ICDM
Arnab Bhattacharya, Vebjorn Ljosa, Jia-Yu Pan, Mark R. Verardo, Hyung-Jeong Yang, Christos Faloutsos, Ambuj K. Singh
2004 Misc conf
ProGreSS: Simultaneous Searching of Protein Databases by Sequence and Structure.
Pacific Symposium on Biocomputing
Arnab Bhattacharya, Tolga Can, Tamer Kahveci, Ambuj K. Singh, Yuan-Fang Wang