Snehasis Mukhopadhyay

According to our database, Snehasis Mukhopadhyay authored at least 79 papers between 1989 and 2023.

Collaborative distances:

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

2023

Mutual Learning for Pattern Recognition.

Sabrina Tarin Chowdhury, Snehasis Mukhopadhyay, Kumpati S. Narendra

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

AI-Augmented Peer Led Team Learning for STEM Education.

Karen D'Souza, Lin Zhu, Pratibha Varma-Nelson, Shiaofen Fang, Snehasis Mukhopadhyay

Proceedings of the 17th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2023

Monitoring Cyber Peer-Led Team Learning: A Multimodal Human-in-the-loop Approach.

Karen D'Souza, Pratibha Varma-Nelson, Shiaofen Fang, Snehasis Mukhopadhyay

Proceedings of the 1st International Workshop on Human-in-the-Loop Applied Machine Learning (HITLAML 2023), 2023

Mutual Learning Algorithm for Kidney Cyst, Kidney Tumor and Kidney Stone Diagnosis.

Sabrina Chowdhury, Snehasis Mukhopadhyay, Kumpati S. Narendra

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

2022

Mutual Learning in Optimization.

Kumpati S. Narendra, Snehasis Mukhopadhyay, Kasra Esfandiari

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021

Mutual Reinforcement Learning with Heterogenous Agents.

Cameron Reid, Snehasis Mukhopadhyay

Proceedings of the IEEE International Conference on Smart Computing, 2021

An Interactive Approach to Bias Mitigation in Machine Learning.

Hao Wang, Snehasis Mukhopadhyay, Yunyu Xiao, Shiaofen Fang

Proceedings of the 20th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2021

2020

Interactive Watershed Optimization in the Presence of Spatially-varying and Uncertain Stakeholder Preferences.

Meghna Babbar-Sebens, Kenneth R. Cannady-Shultz, Snehasis Mukhopadhyay

Proceedings of the IEEE International Conference on Human-Machine Systems, 2020

Mutual Learning: Part II -Reinforcement Learning.

Kumpati S. Narendra, Snehasis Mukhopadhyay

Proceedings of the 2020 American Control Conference, 2020

2019

Why the 'selfish' optimizing agents could solve the decentralized reinforcement learning problems.

Thanh Nguyen, Snehasis Mukhopadhyay, Meghna Babbar-Sebens

AI Commun., 2019

Non-Stationary Reinforcement-Learning Based Dimensionality Reduction for Multi-objective Optimization of Wetland Design.

Andrew Hoblitzell, Meghna Babbar-Sebens, Snehasis Mukhopadhyay

Proceedings of the ICRAI 2019: 5th International Conference on Robotics and Artificial Intelligence, 2019

Mutual Learning: Part I - Learning Automata.

Kumpati S. Narendra, Snehasis Mukhopadhyay

Proceedings of the 2019 American Control Conference, 2019

2018

Two-phase selective decentralization to improve reinforcement learning systems with MDP.

Thanh Nguyen, Snehasis Mukhopadhyay

AI Commun., 2018

Reinforcement Learning Algorithms for Uncertain, Dynamic, Zero-Sum Games.

Snehasis Mukhopadhyay, Omkar J. Tilak, Subir Chakrabarti

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Machine Learning with Small Data for User Modeling of Watershed Stakeholders Engaged in Interactive Optimization.

Andrew Hoblitzell, Meghna Babbar-Sebens, Snehasis Mukhopadhyay

Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018

Interactive Machine Learning by Visualization: A Small Data Solution.

Huang Li, Shiaofen Fang, Snehasis Mukhopadhyay, Andrew J. Saykin, Li Shen

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Uncertainty-Based Deep Learning Networks for Limited Data Wetland User Models.

Andrew Hoblitzell, Meghna Babbar-Sebens, Snehasis Mukhopadhyay

Proceedings of the 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, 2018

2017

Selectively decentralized Q-learning.

Thanh Nguyen, Snehasis Mukhopadhyay

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Multidisciplinary Optimization in Decentralized Reinforcement Learning.

Thanh Nguyen, Snehasis Mukhopadhyay

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016

Identification and optimal control of large-scale systems using selective decentralization.

Thanh Nguyen, Snehasis Mukhopadhyay

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Fuzzy and deep learning approaches for user modeling in wetland design.

Andrew Hoblitzell, Meghna Babbar-Sebens, Snehasis Mukhopadhyay

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Fast Reinforcement Learning using multiple models.

Kumpati S. Narendra, Yu Wang, Snehasis Mukhopadhyay

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

A web-based software tool for participatory optimization of conservation practices in watersheds.

Meghna Babbar-Sebens, Snehasis Mukhopadhyay, Vidya Bhushan Singh, Adriana Debora Piemonti

Environ. Model. Softw., 2015

2014

User modeling with limited data: Application to stakeholder-driven watershed design.

Snehasis Mukhopadhyay, Vidya Bhushan Singh, Meghna Babbar-Sebens

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2013

User Modelling for Interactive Optimization Using Neural Network.

Vidya Bhushan Singh, Snehasis Mukhopadhyay, Meghna Babbar-Sebens

Proceedings of the IEEE International Conference on Systems, 2013

2012

Decentralized pursuit learning automata in batch mode.

Vidya Bhushan Singh, Snehasis Mukhopadhyay, Meghna Babbar-Sebens

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

Interactive pattern mining on hidden data: a sampling-based solution.

Mansurul Bhuiyan, Snehasis Mukhopadhyay, Mohammad Al Hasan

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Decentralized Indirect Methods for Learning Automata Games.

Omkar J. Tilak, Ryan Martin, Snehasis Mukhopadhyay

IEEE Trans. Syst. Man Cybern. Part B, 2011

Multilevel text mining for bone biology.

Omkar J. Tilak, Andrew Hoblitzell, Snehasis Mukhopadhyay, Qian You, Shiaofen Fang, Yuni Xia, Joseph Bidwell

Concurr. Comput. Pract. Exp., 2011

Partially decentralized reinforcement learning in finite, multi-agent Markov decision processes.

Omkar J. Tilak, Snehasis Mukhopadhyay

AI Commun., 2011

Decentralized and partially decentralized reinforcement learning for designing a distributed wetland system in watersheds.

Omkar J. Tilak, Meghna Babbar-Sebens, Snehasis Mukhopadhyay

Proceedings of the IEEE International Conference on Systems, 2011

2010

Multi-way association extraction and visualization from biological text documents using hyper-graphs: Applications to genetic association studies for diseases.

Snehasis Mukhopadhyay, Mathew J. Palakal, Kalyan Maddu

Artif. Intell. Medicine, 2010

A novel reinforcement learning framework for sensor subset selection.

Omkar J. Tilak, Snehasis Mukhopadhyay, Mihran Tuceryan, Rajeev R. Raje

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010

Decentralized and Partially Decentralized Reinforcement Learning for Distributed Combinatorial Optimization Problems.

Omkar J. Tilak, Snehasis Mukhopadhyay

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Text mining for bone biology.

Andrew Hoblitzell, Snehasis Mukhopadhyay, Qian You, Shiaofen Fang, Yuni Xia, Joseph Bidwell

Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

Software Service Selection by Multi-level Matching and Reinforcement Learning.

Rajeev R. Raje, Snehasis Mukhopadhyay, Sucheta Phatak, Rashmi Shastri, Lahiru S. Gallege

Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, 2010

To communicate or not to communicate: A decision-theoretic approach to decentralized adaptive control.

Kumpati S. Narendra, Snehasis Mukhopadhyay

Proceedings of the American Control Conference, 2010

2009

Reinforcement Learning for Human-Machine Collaborative Optimization: Application in Ground Water Monitoring.

Meghna Babbar-Sebens, Snehasis Mukhopadhyay

Proceedings of the IEEE International Conference on Systems, 2009

Comparison of Some Single-agent and Multi-agent Information Filtering Systems on a Benchmark Text Data Set.

Snehasis Mukhopadhyay, Shengquan Peng, Rajeev R. Raje, Mathew J. Palakal, Javed Mostafa

Proceedings of the 21st International Conference on Software Engineering & Knowledge Engineering (SEKE'2009), 2009

Visualizing a Correlative Multi-level Graph of Biology Entity Interactions.

Qian You, Shiaofen Fang, Snehasis Mukhopadhyay, Harsha Gopal Goud Vaka, Jake Yue Chen

Proceedings of the NBiS 2009, 2009

Hypotheses Generation Pertaining to Ayurveda Using Automated Vocabulary Generation and Transitive Text Mining.

Harsha Gopal Goud Vaka, Snehasis Mukhopadhyay

Proceedings of the NBiS 2009, 2009

A Genetic Association Study between Breast Cancer and Osteoporosis Using Transitive Text Mining.

Bi-Hua Cheng, Harsha Gopal Goud Vaka, Snehasis Mukhopadhyay

Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

Knowledge Extraction and Extrapolation Using Ancient and Modern Biomedical Literature.

Harsha Gopal Goud Vaka, Snehasis Mukhopadhyay

Proceedings of the 23rd International Conference on Advanced Information Networking and Applications, 2009

2008

Multi-way Association Extraction from Biological Text Documents Using Hyper-Graphs.

Snehasis Mukhopadhyay, Mathew J. Palakal, Kalyan Maddu

Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

Automated Metadata Generation and its Application to Biological Association Extraction.

Snehasis Mukhopadhyay, Niranjan Jayadevaprakash

Proceedings of the 22nd International Conference on Advanced Information Networking and Applications, 2008

2005

Distributed multi-agent information filtering - A comparative study.

Snehasis Mukhopadhyay, Shengquan Peng, Rajeev R. Raje, Javed Mostafa, Mathew J. Palakal

J. Assoc. Inf. Sci. Technol., 2005

Generating association graphs of non-cooccurring text objects using transitive methods.

Niranjan Jayadevaprakash, Snehasis Mukhopadhyay, Mathew J. Palakal

Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

2004

COBioSIFTER - A CORBA-Based Distributed Multi-Agent Biological Information Management System.

Rajeev R. Raje, Daocheng Zhu, Snehasis Mukhopadhyay, Liying Tang, Mathew J. Palakal, Javed Mostafa

Clust. Comput., 2004

BioMap: toward the development of a knowledge base of biomedical literature.

Kamal Kumar, Mathew J. Palakal, Snehasis Mukhopadhyay, Matthew J. Stephens, Huian Li

Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

A learning approach to the database selection problem in the presence of dynamic user interests and database contents.

Pooja Bajracharya, Snehasis Mukhopadhyay

Proceedings of the Managing and Enhancing Information: Cultures and Conflicts, 2004

2003

Genetic Sequence Classification and its Application to Cross-Species Homology Detection.

Snehasis Mukhopadhyay, Changhong Tang, Jeffrey Huang, Mathew J. Palakal

J. VLSI Signal Process., 2003

Automated Web navigation using multiagent adaptive dynamic programming.

Joby Varghese, Snehasis Mukhopadhyay

IEEE Trans. Syst. Man Cybern. Part A, 2003

Identification of Biological Relationships from Text Documentsusing Efficient Computational Methods.

Mathew J. Palakal, Matthew J. Stephens, Snehasis Mukhopadhyay, Rajeev R. Raje, Simon Rhodes

J. Bioinform. Comput. Biol., 2003

Multi-agent information classification using dynamic acquaintance lists.

Snehasis Mukhopadhyay, Shengquan Peng, Rajeev R. Raje, Mathew J. Palakal, Javed Mostafa

J. Assoc. Inf. Sci. Technol., 2003

Simulation Studies of Different Dimensions of Users' Interests and their Impact on User Modeling and Information Filtering.

Javed Mostafa, Snehasis Mukhopadhyay, Mathew J. Palakal

Inf. Retr., 2003

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.

Snehasis Mukhopadhyay

Autom., 2003

2002

Feature Decomposition Architectures for Neural Networks: Algorithms, Error Bounds, and Applications.

Haiying Wang, Snehasis Mukhopadhyay, Shiaofen Fang

Int. J. Neural Syst., 2002

Homogeneous Agent-Based Distributed Information Filtering.

Rajeev R. Raje, Mingyong Qiao, Snehasis Mukhopadhyay, Mathew J. Palakal, Shengquan Peng, Javed Mostafa

Clust. Comput., 2002

An intelligent biological information management system.

Mathew J. Palakal, Snehasis Mukhopadhyay, Javed Mostafa, Rajeev R. Raje, Mathias N'Cho, Santosh Mishra

Bioinform., 2002

Concept extraction and association from cancer literature.

Yueyu Fu, Travis Bauer, Javed Mostafa, Mathew J. Palakal, Snehasis Mukhopadhyay

Proceedings of the Fourth ACM CIKM International Workshop on Web Information and Data Management (WIDM 2002), 2002

An intelligent biological information management system.

Mathew J. Palakal, Snehasis Mukhopadhyay, Javed Mostafa

Proceedings of the 2002 ACM Symposium on Applied Computing (SAC), 2002

A comparative study of genetic sequence classification algorithms.

Snehasis Mukhopadhyay, Changhong Tang, Jeffrey Huang, Mulong Yu, Mathew J. Palakal

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

A Multi-Level Text Mining Method to Extract Biological Relationships.

Mathew J. Palakal, Matthew J. Stephens, Snehasis Mukhopadhyay, Rajeev R. Raje, Simon Rhodes

Proceedings of the 1st IEEE Computer Society Bioinformatics Conference, 2002

2001

SIFTER-II: a heterogeneous agent society for information filtering.

Rajeev R. Raje, Mingyong Qiao, Snehasis Mukhopadhyay

Proceedings of the 2001 ACM Symposium on Applied Computing (SAC), 2001

Detecting Gene Relations from MEDLINE Abstracts.

Matthew J. Stephens, Mathew J. Palakal, Snehasis Mukhopadhyay, Rajeev R. Raje, Javed Mostafa

Proceedings of the 6th Pacific Symposium on Biocomputing, 2001

A Comparison Between Single-agent and Multi-agent Classification of Documents.

Shengquan Peng, Snehasis Mukhopadhyay, Rajeev R. Raje, Mathew J. Palakal, Javed Mostafa

Proceedings of the 15th International Parallel & Distributed Processing Symposium (IPDPS-01), 2001

2000

Multi-agent Adaptive Dynamic Programming.

Snehasis Mukhopadhyay, Joby Varghese

Proceedings of the MICAI 2000: Advances in Artificial Intelligence, 2000

1998

A Bidding Mechanism for Web-Based Agents Involved in Information Classification.

Michael Boyles, Javed Mostafa, Snehasis Mukhopadhyay, Mathew J. Palakal, Artur Papiez, Nila Patel, Rajeev R. Raje

World Wide Web, 1998

On designing and implementing a collaborative system using the distributed-object model of Java-RMI.

Rajeev R. Raje, Snehasis Mukhopadhyay, Michael Boyles, Nila Patel, Artur Papiez

Scalable Comput. Pract. Exp., 1998

1997

A Multilevel Approach to Intelligent Information Filtering: Model, System, and Evaluation.

Javed Mostafa, Snehasis Mukhopadhyay, Wai Lam, Mathew J. Palakal

ACM Trans. Inf. Syst., 1997

Adaptive control using neural networks and approximate models.

Kumpati S. Narendra, Snehasis Mukhopadhyay

IEEE Trans. Neural Networks, 1997

1996

Detection of Shifts in User Interests for Personalized Information Filtering.

Wai Lam, Snehasis Mukhopadhyay, Javed Mostafa, Mathew J. Palakal

Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1996

A Two-Level Approach to Learning in Nonstationary Environments.

Wai Lam, Snehasis Mukhopadhyay

Proceedings of the Advances in Artificial Intelligence, 1996

1994

Adaptive control of nonlinear multivariable systems using neural networks.

Kumpati S. Narendra, Snehasis Mukhopadhyay

Neural Networks, 1994

1993

Disturbance rejection in nonlinear systems using neural networks.

Snehasis Mukhopadhyay, Kumpati S. Narendra

IEEE Trans. Neural Networks, 1993

1991

Associative learning in random environments using neural networks.

Kumpati S. Narendra, Snehasis Mukhopadhyay

IEEE Trans. Neural Networks, 1991

1990

Dynamic path planning in sensor-based terrain acquisition.

Vladimir J. Lumelsky, Snehasis Mukhopadhyay, Kang Sun

IEEE Trans. Robotics Autom., 1990

1989

Associative learning of Boolean functions.

Snehasis Mukhopadhyay, M. A. L. Thathachar

IEEE Trans. Syst. Man Cybern., 1989

Sensor-Based Terrain Acquisition: a "Seed Spreader" Strategy.

Vladimir J. Lumelsky, Snehasis Mukhopadhyay, Kang Sun

Proceedings of the IEEE International Workshop on Intelligent Robots and Systems '89, 1989