Sanmitra Bhattacharya

According to our database, Sanmitra Bhattacharya authored at least 37 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AI-generated Text Detection: A Multifaceted Approach to Binary and Multiclass Classification.

Harika Abburi, Sanmitra Bhattacharya, Edward Bowen, Nirmala Pudota

CoRR, May, 2025

Fraud detection in healthcare claims using machine learning: A systematic review.

Anli du Preez, Sanmitra Bhattacharya, Peter A. Beling, Edward Bowen

Artif. Intell. Medicine, 2025

Deloitte (Drocks) at SemEval-2025 Task 3: Fine-Grained Multi-lingual Hallucination Detection Using Internal LLM Weights.

Alex Chandler, Harika Abburi, Sanmitra Bhattacharya, Edward Bowen, Nirmala Pudota

Proceedings of the 19th International Workshop on Semantic Evaluation, 2025

MedCodER: A Generative AI Assistant for Medical Coding.

Krishanu Das Baksi, Elijah Soba, John J. Higgins, Ravi Saini, Jaden Wood, Jane Cook, Jack Scott, Nirmala Pudota, Tim Weninger, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MentorPDM: Learning Data-Driven Curriculum for Multi-Modal Predictive Maintenance.

Shuaicheng Zhang, Tuo Wang, Stephen Adams, Sanmitra Bhattacharya, Sunil Reddy Tiyyagura, Edward Bowen, Balaji Veeramani, Dawei Zhou

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Instruction-tuned Quantized Small Language Models (SLMs): A Study on Hallucination Detection.

Elijah Soba, Harika Abburi, Nirmala Pudota, Jain Aayush, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the Joint 1st International Workshop on Disinformation and Misinformation in the Age of Generative AI (DISMISS-FAKE 2025) and the 4th International Workshop on Investigating Learning during Web Search (IWILDS 2025) co-located with 18th International ACM WSDM Conference on Web Search and Data Mining (WSDM 2025), 2025

Regulatory Question-Answering using Generative AI.

Devin Quinn, Sumit Pai, Iman Yousfi, Nirmala Pudota, Sanmitra Bhattacharya

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Deloitte (Drocks) at the Financial Misinformation Detection Challenge Task: Enhancing Misinformation Detection through Instruction-Tuned Models.

Harika Abburi, Alex Chandler, Edward Bowen, Sanmitra Bhattacharya, Nirmala Pudota

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Learning from Litigation: Graphs for Retrieval and Reasoning in eDiscovery.

Sounak Lahiri, Sumit Pai, Tim Weninger, Sanmitra Bhattacharya

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

Citations and Trust in LLM Generated Responses.

Yifan Ding, Matthew Facciani, Ellen Joyce, Amrit Poudel, Sanmitra Bhattacharya, Balaji Veeramani, Sal Aguiñaga, Tim Weninger

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Learning from Litigation: Graphs and LLMs for Retrieval and Reasoning in eDiscovery.

Sounak Lahiri, Sumit Pai, Tim Weninger, Sanmitra Bhattacharya

CoRR, 2024

EntGPT: Linking Generative Large Language Models with Knowledge Bases.

Yifan Ding, Amrit Poudel, Qingkai Zeng, Tim Weninger, Balaji Veeramani, Sanmitra Bhattacharya

CoRR, 2024

Toward Robust Generative AI Text Detection: Generalizable Neural Model.

Harika Abburi, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the International Conference on Machine Learning and Applications, 2024

Team Deloitte at PAN: A Novel Approach for Generative AI Text Detection.

Harika Abburi, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023

Procedure code overutilization detection from healthcare claims using unsupervised deep learning methods.

Michael Suesserman, Samantha Gorny, Daniel Lasaga, John Helms, Dan Olson, Edward Bowen, Sanmitra Bhattacharya

BMC Medical Informatics Decis. Mak., December, 2023

A Simple yet Efficient Ensemble Approach for AI-generated Text Detection.

Harika Abburi, Kalyani Roy, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

CoRR, 2023

An Ensemble-Based Approach for Generative Language Model Attribution.

Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Generative AI Text Classification using Ensemble LLM Approaches.

Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

Anomaly Detection via Federated Learning.

Marc Vucovich, Amogh Kamat Tarcar, Penjo Rebelo, Abdul Rahman, Dhruv Nandakumar, Christopher Redino, Kevin Choi, Robert Schiller, Sanmitra Bhattacharya, Balaji Veeramani, Alex West, Edward Bowen

Proceedings of the 33rd International Telecommunication Networks and Applications Conference, 2023

Identification of Providers with Similar Risk Profiles in Healthcare Claims Using Graphs.

Sal Aguiñaga, Daniel Lasaga, Shivashankar Danthuri, John Helms, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the 11th International Symposium on Digital Forensics and Security, 2023

How far is too far? Identifying suspicious travel patterns in healthcare claims using machine learning.

Kai Wang, Daniel Lasaga, John Helms, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the International Conference on Machine Learning and Applications, 2023

Embedding Representations of Diagnosis Codes for Outlier Payment Detection.

Anvesh Matta, Michael Suesserman, David McNamee, Daniel Lasaga, Dan Olson, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Anomaly Detection via Federated Learning.

Marc Vucovich, Amogh Kamat Tarcar, Penjo Rebelo, Narendra Gade, Ruchi Porwal, Abdul Rahman, Christopher Redino, Kevin Choi, Dhruv Nandakumar, Robert Schiller, Edward Bowen, Alex West, Sanmitra Bhattacharya, Balaji Veeramani

CoRR, 2022

2017

Social media engagement analysis of U.S. Federal health agencies on Facebook.

Sanmitra Bhattacharya, Padmini Srinivasan, Philip Polgreen

BMC Medical Informatics Decis. Mak., 2017

2016

Perceptions of presidential candidates' personalities in twitter.

Sanmitra Bhattacharya, Chao Yang, Padmini Srinivasan, Bob Boynton

J. Assoc. Inf. Sci. Technol., 2016

2014

The University of Iowa at CLEF 2014: eHealth Task 3.

Chao Yang, Sanmitra Bhattacharya, Padmini Srinivasan

Proceedings of the Working Notes for CLEF 2014 Conference, 2014

2013

Analysis of eligibility criteria representation in industry-standard clinical trial protocols.

Sanmitra Bhattacharya, Michael N. Cantor

J. Biomed. Informatics, 2013

2012

Belief surveillance with Twitter.

Sanmitra Bhattacharya, Hung Tran, Padmini Srinivasan, Jerry Suls

Proceedings of the Web Science 2012, 2012

Lexical and Machine Learning Approaches Toward Online Reputation Management.

Chao Yang, Sanmitra Bhattacharya, Padmini Srinivasan

Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012

Question Answering for Alzheimer Disease Using Information Retrieval.

Sanmitra Bhattacharya, Luca Toldo

Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012

A semantic approach to involve Twitter in LBD efforts.

Sanmitra Bhattacharya, Padmini Srinivasan

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

Discovering Health Beliefs in Twitter.

Sanmitra Bhattacharya, Hung Tran, Padmini Srinivasan

Proceedings of the Information Retrieval and Knowledge Discovery in Biomedical Text, 2012

2011

The gene normalization task in BioCreative III.

Zhiyong Lu, Hung-Yu Kao, Chih-Hsuan Wei, Minlie Huang, Jingchen Liu, Cheng-Ju Kuo, Chun-Nan Hsu, Richard Tzong-Han Tsai, Hong-Jie Dai, Naoaki Okazaki, Han-Cheol Cho, Martin Gerner, Illés Solt, Shashank Agarwal, Feifan Liu, Dina Vishnyakova, Patrick Ruch, Martin Romacker, Fabio Rinaldi, Sanmitra Bhattacharya, Padmini Srinivasan, Hongfang Liu, Manabu Torii, Sérgio Matos, David Campos, Karin Verspoor, Kevin M. Livingston, W. John Wilbur

BMC Bioinform., 2011

BioCreative III interactive task: an overview.

Cecilia N. Arighi, Phoebe M. Roberts, Shashank Agarwal, Sanmitra Bhattacharya, Gianni Cesareni, Andrew Chatr-aryamontri, Simon Clematide, Pascale Gaudet, Michelle G. Giglio, Ian Harrow, Eva Huala, Martin Krallinger, Ulf Leser, Donghui Li, Feifan Liu, Zhiyong Lu, Lois J. Maltais, Naoaki Okazaki, Livia Perfetto, Fabio Rinaldi, Rune Sætre, David Salgado, Padmini Srinivasan, Philippe E. Thomas, Luca Toldo, Lynette Hirschman, Cathy H. Wu

BMC Bioinform., 2011

MeSH: a window into full text for document summarization.

Sanmitra Bhattacharya, Viet Ha-Thuc, Padmini Srinivasan

Bioinform., 2011

The University of Iowa at TREC 2011: Microblogs, Medical Records and Crowdsourcing.

Sanmitra Bhattacharya, Christopher G. Harris, Yelena Mejova, Chao Yang, Padmini Srinivasan

Proceedings of The Twentieth Text REtrieval Conference, 2011

Data-Driven Methods for SMS-Based FAQ Retrieval.

Sanmitra Bhattacharya, Hung Tran, Padmini Srinivasan

Proceedings of the Multilingual Information Access in South Asian Languages, 2011