Snehasis Mukhopadhyay

85 papers A* 1A 5B 10C 9Misc 7Journal 31Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeceptGuard :A Constitutional Oversight Framework For Detecting Deception in LLM Agents. CoRR Snehasis Mukhopadhyay
2026	J	`jnl`	Machine Learning Based Prediction of Surgical Outcomes in Chronic Rhinosinusitis from Clinical Data. CoRR Sayeed Shafayet Chowdhury, Karen D'Souza, V. Siva Kakumani, Snehasis Mukhopadhyay, Shiaofen Fang, Rodney J. Schlosser, Daniel M. Beswick, Jeremiah A. Alt, Jess C. Mace, Zachary M. Soler, Timothy L. Smith, Vijay R. Ramakrishnan
2026	J	`jnl`	Who Benefits From Sinus Surgery? Comparing Generative AI and Supervised Machine Learning for Predicting Surgical Outcomes in Chronic Rhinosinusitis. CoRR Sayeed Shafayet Chowdhury, Snehasis Mukhopadhyay, Shiaofen Fang, Vijay R. Ramakrishnan
2025	J	`jnl`	AMBEDKAR-A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language Models. CoRR Snehasis Mukhopadhyay, Aryan Kasat, Shivam Dubey, Rahul Karthikeyan, Dhruv Sood, Vinija Jain, Aman Chadha, Amitava Das
2024	C	`conf`	Mutual Learning in Optimization - Part II. ACC Kumpati S. Narendra, Lihao Zheng, Snehasis Mukhopadhyay
2023	Misc	`conf`	AI-Augmented Peer Led Team Learning for STEM Education. SACI Karen D'Souza, Lin Zhu, Pratibha Varma-Nelson, Shiaofen Fang, Snehasis Mukhopadhyay
2023	—	`conf`	Monitoring Cyber Peer-Led Team Learning: A Multimodal Human-in-the-loop Approach. HITLAML Karen D'Souza, Pratibha Varma-Nelson, Shiaofen Fang, Snehasis Mukhopadhyay
2023	C	`conf`	Mutual Learning Algorithm for Kidney Cyst, Kidney Tumor and Kidney Stone Diagnosis. FedCSIS Sabrina Chowdhury, Snehasis Mukhopadhyay, Kumpati S. Narendra
2023	B	`conf`	Mutual Learning for Pattern Recognition. SMC Sabrina Tarin Chowdhury, Snehasis Mukhopadhyay, Kumpati S. Narendra
2022	B	`conf`	Mutual Learning in Optimization. SMC Kumpati S. Narendra, Snehasis Mukhopadhyay, Kasra Esfandiari
2021	—	`conf`	An Interactive Approach to Bias Mitigation in Machine Learning. ICCI*CC Hao Wang, Snehasis Mukhopadhyay, Yunyu Xiao, Shiaofen Fang
2021	B	`conf`	Mutual Reinforcement Learning with Heterogenous Agents. SMARTCOMP Cameron Reid, Snehasis Mukhopadhyay
2020	—	`conf`	Interactive Watershed Optimization in the Presence of Spatially-varying and Uncertain Stakeholder Preferences. ICHMS Meghna Babbar-Sebens, Kenneth R. Cannady-Shultz, Snehasis Mukhopadhyay
2020	C	`conf`	Mutual Learning: Part II -Reinforcement Learning. ACC Kumpati S. Narendra, Snehasis Mukhopadhyay
2019	C	`conf`	Mutual Learning: Part I - Learning Automata. ACC Kumpati S. Narendra, Snehasis Mukhopadhyay
2019	—	`conf`	Non-Stationary Reinforcement-Learning Based Dimensionality Reduction for Multi-objective Optimization of Wetland Design. ICRAI Andrew Hoblitzell, Meghna Babbar-Sebens, Snehasis Mukhopadhyay
2019	J	`jnl`	Why the 'selfish' optimizing agents could solve the decentralized reinforcement learning problems. AI Commun. Thanh Nguyen, Snehasis Mukhopadhyay, Meghna Babbar-Sebens
2018	—	`conf`	Interactive Machine Learning by Visualization: A Small Data Solution. IEEE BigData Huang Li, Shiaofen Fang, Snehasis Mukhopadhyay, Andrew J. Saykin, Li Shen
2018	—	`conf`	Machine Learning with Small Data for User Modeling of Watershed Stakeholders Engaged in Interactive Optimization. CSAI/ICIMT Andrew Hoblitzell, Meghna Babbar-Sebens, Snehasis Mukhopadhyay
2018	C	`conf`	Reinforcement Learning Algorithms for Uncertain, Dynamic, Zero-Sum Games. ICMLA Snehasis Mukhopadhyay, Omkar J. Tilak, Subir Chakrabarti
2018	J	`jnl`	Two-phase selective decentralization to improve reinforcement learning systems with MDP. AI Commun. Thanh Nguyen, Snehasis Mukhopadhyay
2018	—	`conf`	Uncertainty-Based Deep Learning Networks for Limited Data Wetland User Models. AIVR Andrew Hoblitzell, Meghna Babbar-Sebens, Snehasis Mukhopadhyay
2017	C	`conf`	Multidisciplinary Optimization in Decentralized Reinforcement Learning. ICMLA Thanh Nguyen, Snehasis Mukhopadhyay
2017	B	`conf`	Selectively decentralized Q-learning. SMC Thanh Nguyen, Snehasis Mukhopadhyay
2016	—	`conf`	Fast Reinforcement Learning using multiple models. CDC Kumpati S. Narendra, Yu Wang, Snehasis Mukhopadhyay
2016	B	`conf`	Fuzzy and deep learning approaches for user modeling in wetland design. SMC Andrew Hoblitzell, Meghna Babbar-Sebens, Snehasis Mukhopadhyay
2016	B	`conf`	Identification and optimal control of large-scale systems using selective decentralization. SMC Thanh Nguyen, Snehasis Mukhopadhyay
2016	A	`ed.`	Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016 CIKM Snehasis Mukhopadhyay, ChengXiang Zhai, Elisa Bertino, Fabio Crestani, Javed Mostafa, Jie Tang, Luo Si, Xiaofang Zhou, Yi Chang, Yunyao Li, Parikshit Sondhi
2015	J	`jnl`	A web-based software tool for participatory optimization of conservation practices in watersheds. Environ. Model. Softw. Meghna Babbar-Sebens, Snehasis Mukhopadhyay, Vidya Bhushan Singh, Adriana Debora Piemonti
2014	B	`conf`	User modeling with limited data: Application to stakeholder-driven watershed design. SMC Snehasis Mukhopadhyay, Vidya Bhushan Singh, Meghna Babbar-Sebens
2013	B	`conf`	User Modelling for Interactive Optimization Using Neural Network. SMC Vidya Bhushan Singh, Snehasis Mukhopadhyay, Meghna Babbar-Sebens
2012	—	`conf`	Decentralized pursuit learning automata in batch mode. SCIS&ISIS Vidya Bhushan Singh, Snehasis Mukhopadhyay, Meghna Babbar-Sebens
2012	A	`conf`	Interactive pattern mining on hidden data: a sampling-based solution. CIKM Mansurul Bhuiyan, Snehasis Mukhopadhyay, Mohammad Al Hasan
2011	J	`jnl`	Decentralized Indirect Methods for Learning Automata Games. IEEE Trans. Syst. Man Cybern. Part B Omkar J. Tilak, Ryan Martin, Snehasis Mukhopadhyay
2011	B	`conf`	Decentralized and partially decentralized reinforcement learning for designing a distributed wetland system in watersheds. SMC Omkar J. Tilak, Meghna Babbar-Sebens, Snehasis Mukhopadhyay
2011	J	`jnl`	Multilevel text mining for bone biology. Concurr. Comput. Pract. Exp. Omkar J. Tilak, Andrew Hoblitzell, Snehasis Mukhopadhyay, Qian You, Shiaofen Fang, Yuni Xia, Joseph Bidwell
2011	J	`jnl`	Partially decentralized reinforcement learning in finite, multi-agent Markov decision processes. AI Commun. Omkar J. Tilak, Snehasis Mukhopadhyay
2010	—	`conf`	A novel reinforcement learning framework for sensor subset selection. ICNSC Omkar J. Tilak, Snehasis Mukhopadhyay, Mihran Tuceryan, Rajeev R. Raje
2010	C	`conf`	Decentralized and Partially Decentralized Reinforcement Learning for Distributed Combinatorial Optimization Problems. ICMLA Omkar J. Tilak, Snehasis Mukhopadhyay
2010	J	`jnl`	Multi-way association extraction and visualization from biological text documents using hyper-graphs: Applications to genetic association studies for diseases. Artif. Intell. Medicine Snehasis Mukhopadhyay, Mathew J. Palakal, Kalyan Maddu
2010	—	`conf`	Software Service Selection by Multi-level Matching and Reinforcement Learning. BIONETICS Rajeev R. Raje, Snehasis Mukhopadhyay, Sucheta Phatak, Rashmi Shastri, Lahiru S. Gallege
2010	A	`conf`	Text mining for bone biology. HPDC Andrew Hoblitzell, Snehasis Mukhopadhyay, Qian You, Shiaofen Fang, Yuni Xia, Joseph Bidwell
2010	C	`conf`	To communicate or not to communicate: A decision-theoretic approach to decentralized adaptive control. ACC Kumpati S. Narendra, Snehasis Mukhopadhyay
2009	—	`conf`	A Genetic Association Study between Breast Cancer and Osteoporosis Using Transitive Text Mining. BIBM Bi-Hua Cheng, Harsha Gopal Goud Vaka, Snehasis Mukhopadhyay
2009	C	`conf`	Comparison of Some Single-agent and Multi-agent Information Filtering Systems on a Benchmark Text Data Set. SEKE Snehasis Mukhopadhyay, Shengquan Peng, Rajeev R. Raje, Mathew J. Palakal, Javed Mostafa
2009	—	`conf`	Hypotheses Generation Pertaining to Ayurveda Using Automated Vocabulary Generation and Transitive Text Mining. NBiS Harsha Gopal Goud Vaka, Snehasis Mukhopadhyay
2009	—	`conf`	Knowledge Extraction and Extrapolation Using Ancient and Modern Biomedical Literature. AINA Workshops Harsha Gopal Goud Vaka, Snehasis Mukhopadhyay
2009	B	`conf`	Reinforcement Learning for Human-Machine Collaborative Optimization: Application in Ground Water Monitoring. SMC Meghna Babbar-Sebens, Snehasis Mukhopadhyay
2009	—	`conf`	Visualizing a Correlative Multi-level Graph of Biology Entity Interactions. NBiS Qian You, Shiaofen Fang, Snehasis Mukhopadhyay, Harsha Gopal Goud Vaka, Jake Yue Chen
2008	—	`conf`	Automated Metadata Generation and its Application to Biological Association Extraction. AINA Workshops Snehasis Mukhopadhyay, Niranjan Jayadevaprakash
2008	—	`conf`	Multi-way Association Extraction from Biological Text Documents Using Hyper-Graphs. BIBM Snehasis Mukhopadhyay, Mathew J. Palakal, Kalyan Maddu
2005	J	`jnl`	Distributed multi-agent information filtering - A comparative study. J. Assoc. Inf. Sci. Technol. Snehasis Mukhopadhyay, Shengquan Peng, Rajeev R. Raje, Javed Mostafa, Mathew J. Palakal
2005	Misc	`conf`	Generating association graphs of non-cooccurring text objects using transitive methods. SAC Niranjan Jayadevaprakash, Snehasis Mukhopadhyay, Mathew J. Palakal
2004	—	`conf`	A learning approach to the database selection problem in the presence of dynamic user interests and database contents. ASIST Pooja Bajracharya, Snehasis Mukhopadhyay
2004	Misc	`conf`	BioMap: toward the development of a knowledge base of biomedical literature. SAC Kamal Kumar, Mathew J. Palakal, Snehasis Mukhopadhyay, Matthew J. Stephens, Huian Li
2004	J	`jnl`	COBioSIFTER - A CORBA-Based Distributed Multi-Agent Biological Information Management System. Clust. Comput. Rajeev R. Raje, Daocheng Zhu, Snehasis Mukhopadhyay, Liying Tang, Mathew J. Palakal, Javed Mostafa
2003	J	`jnl`	Automated Web navigation using multiagent adaptive dynamic programming. IEEE Trans. Syst. Man Cybern. Part A Joby Varghese, Snehasis Mukhopadhyay
2003	J	`jnl`	Genetic Sequence Classification and its Application to Cross-Species Homology Detection. J. VLSI Signal Process. Snehasis Mukhopadhyay, Changhong Tang, Jeffrey Huang, Mathew J. Palakal
2003	J	`jnl`	Identification of Biological Relationships from Text Documentsusing Efficient Computational Methods. J. Bioinform. Comput. Biol. Mathew J. Palakal, Matthew J. Stephens, Snehasis Mukhopadhyay, Rajeev R. Raje, Simon Rhodes
2003	J	`jnl`	Multi-agent information classification using dynamic acquaintance lists. J. Assoc. Inf. Sci. Technol. Snehasis Mukhopadhyay, Shengquan Peng, Rajeev R. Raje, Mathew J. Palakal, Javed Mostafa
2003	J	`jnl`	Neural and adaptive systems: fundamentals through simulations: José C. Principe, Neil R. Euliano and W. Curt Lefebvre; John Wiley & Sons, Inc., USA, 2000, ISBN 0-471-35167-9. Autom. Snehasis Mukhopadhyay
2003	J	`jnl`	Simulation Studies of Different Dimensions of Users' Interests and their Impact on User Modeling and Information Filtering. Inf. Retr. Javed Mostafa, Snehasis Mukhopadhyay, Mathew J. Palakal
2002	—	`conf`	A Multi-Level Text Mining Method to Extract Biological Relationships. CSB Mathew J. Palakal, Matthew J. Stephens, Snehasis Mukhopadhyay, Rajeev R. Raje, Simon Rhodes
2002	—	`conf`	A comparative study of genetic sequence classification algorithms. NNSP Snehasis Mukhopadhyay, Changhong Tang, Jeffrey Huang, Mulong Yu, Mathew J. Palakal
2002	Misc	`conf`	An intelligent biological information management system. SAC Mathew J. Palakal, Snehasis Mukhopadhyay, Javed Mostafa
2002	J	`jnl`	An intelligent biological information management system. Bioinform. Mathew J. Palakal, Snehasis Mukhopadhyay, Javed Mostafa, Rajeev R. Raje, Mathias N'Cho, Santosh Mishra
2002	—	`conf`	Concept extraction and association from cancer literature. WIDM Yueyu Fu, Travis Bauer, Javed Mostafa, Mathew J. Palakal, Snehasis Mukhopadhyay
2002	J	`jnl`	Feature Decomposition Architectures for Neural Networks: Algorithms, Error Bounds, and Applications. Int. J. Neural Syst. HaiYing Wang, Snehasis Mukhopadhyay, Shiaofen Fang
2002	J	`jnl`	Homogeneous Agent-Based Distributed Information Filtering. Clust. Comput. Rajeev R. Raje, Mingyong Qiao, Snehasis Mukhopadhyay, Mathew J. Palakal, Shengquan Peng, Javed Mostafa
2001	A	`conf`	A Comparison Between Single-agent and Multi-agent Classification of Documents. IPDPS Shengquan Peng, Snehasis Mukhopadhyay, Rajeev R. Raje, Mathew J. Palakal, Javed Mostafa
2001	Misc	`conf`	Detecting Gene Relations from MEDLINE Abstracts. Pacific Symposium on Biocomputing Matthew J. Stephens, Mathew J. Palakal, Snehasis Mukhopadhyay, Rajeev R. Raje, Javed Mostafa
2001	Misc	`conf`	SIFTER-II: a heterogeneous agent society for information filtering. SAC Rajeev R. Raje, Mingyong Qiao, Snehasis Mukhopadhyay
2000	—	`conf`	Multi-agent Adaptive Dynamic Programming. MICAI Snehasis Mukhopadhyay, Joby Varghese
1998	J	`jnl`	A Bidding Mechanism for Web-Based Agents Involved in Information Classification. World Wide Web Michael Boyles, Javed Mostafa, Snehasis Mukhopadhyay, Mathew J. Palakal, Artur Papiez, Nila Patel, Rajeev R. Raje
1998	J	`jnl`	On designing and implementing a collaborative system using the distributed-object model of Java-RMI. Parallel Distributed Comput. Pract. Rajeev R. Raje, Snehasis Mukhopadhyay, Michael Boyles, Nila Patel, Artur Papiez
1997	J	`jnl`	A Multilevel Approach to Intelligent Information Filtering: Model, System, and Evaluation. ACM Trans. Inf. Syst. Javed Mostafa, Snehasis Mukhopadhyay, Wai Lam, Mathew J. Palakal
1997	J	`jnl`	Adaptive control using neural networks and approximate models. IEEE Trans. Neural Networks Kumpati S. Narendra, Snehasis Mukhopadhyay
1996	Misc	`conf`	A Two-Level Approach to Learning in Nonstationary Environments. AI Wai Lam, Snehasis Mukhopadhyay
1996	A*	`conf`	Detection of Shifts in User Interests for Personalized Information Filtering. SIGIR Wai Lam, Snehasis Mukhopadhyay, Javed Mostafa, Mathew J. Palakal
1994	J	`jnl`	Adaptive control of nonlinear multivariable systems using neural networks. Neural Networks Kumpati S. Narendra, Snehasis Mukhopadhyay
1993	J	`jnl`	Disturbance rejection in nonlinear systems using neural networks. IEEE Trans. Neural Networks Snehasis Mukhopadhyay, Kumpati S. Narendra
1991	J	`jnl`	Associative learning in random environments using neural networks. IEEE Trans. Neural Networks Kumpati S. Narendra, Snehasis Mukhopadhyay
1990	J	`jnl`	Dynamic path planning in sensor-based terrain acquisition. IEEE Trans. Robotics Autom. Vladimir J. Lumelsky, Snehasis Mukhopadhyay, Kang Sun
1989	J	`jnl`	Associative learning of Boolean functions. IEEE Trans. Syst. Man Cybern. Snehasis Mukhopadhyay, M. A. L. Thathachar
1989	A	`conf`	Sensor-Based Terrain Acquisition: a "Seed Spreader" Strategy. IROS Vladimir J. Lumelsky, Snehasis Mukhopadhyay, Kang Sun