Snehasis Mukhopadhyay

Orcid: 0009-0000-0836-2901

Affiliations:
  • Indiana University - Purdue University, Indianapolis, USA


According to our database1, Snehasis Mukhopadhyay authored at least 80 papers between 1989 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Mutual Learning in Optimization - Part II.
Proceedings of the American Control Conference, 2024

2023
Mutual Learning for Pattern Recognition.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

AI-Augmented Peer Led Team Learning for STEM Education.
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.
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.
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

2022
Mutual Learning in Optimization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021
Mutual Reinforcement Learning with Heterogenous Agents.
Proceedings of the IEEE International Conference on Smart Computing, 2021

An Interactive Approach to Bias Mitigation in Machine Learning.
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.
Proceedings of the IEEE International Conference on Human-Machine Systems, 2020

Mutual Learning: Part II -Reinforcement Learning.
Proceedings of the 2020 American Control Conference, 2020

2019
Why the 'selfish' optimizing agents could solve the decentralized reinforcement learning problems.
AI Commun., 2019

Non-Stationary Reinforcement-Learning Based Dimensionality Reduction for Multi-objective Optimization of Wetland Design.
Proceedings of the ICRAI 2019: 5th International Conference on Robotics and Artificial Intelligence, 2019

Mutual Learning: Part I - Learning Automata.
Proceedings of the 2019 American Control Conference, 2019

2018
Two-phase selective decentralization to improve reinforcement learning systems with MDP.
AI Commun., 2018

Reinforcement Learning Algorithms for Uncertain, Dynamic, Zero-Sum Games.
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.
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018

Interactive Machine Learning by Visualization: A Small Data Solution.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Uncertainty-Based Deep Learning Networks for Limited Data Wetland User Models.
Proceedings of the 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, 2018

2017
Selectively decentralized Q-learning.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Multidisciplinary Optimization in Decentralized Reinforcement Learning.
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.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Fuzzy and deep learning approaches for user modeling in wetland design.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Fast Reinforcement Learning using multiple models.
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.
Environ. Model. Softw., 2015

2014
User modeling with limited data: Application to stakeholder-driven watershed design.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2013
User Modelling for Interactive Optimization Using Neural Network.
Proceedings of the IEEE International Conference on Systems, 2013

2012
Decentralized pursuit learning automata in batch mode.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

Interactive pattern mining on hidden data: a sampling-based solution.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Decentralized Indirect Methods for Learning Automata Games.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Multilevel text mining for bone biology.
Concurr. Comput. Pract. Exp., 2011

Partially decentralized reinforcement learning in finite, multi-agent Markov decision processes.
AI Commun., 2011

Decentralized and partially decentralized reinforcement learning for designing a distributed wetland system in watersheds.
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.
Artif. Intell. Medicine, 2010

A novel reinforcement learning framework for sensor subset selection.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010

Decentralized and Partially Decentralized Reinforcement Learning for Distributed Combinatorial Optimization Problems.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Text mining for bone biology.
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

Software Service Selection by Multi-level Matching and Reinforcement Learning.
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.
Proceedings of the American Control Conference, 2010

2009
Reinforcement Learning for Human-Machine Collaborative Optimization: Application in Ground Water Monitoring.
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.
Proceedings of the 21st International Conference on Software Engineering & Knowledge Engineering (SEKE'2009), 2009

Visualizing a Correlative Multi-level Graph of Biology Entity Interactions.
Proceedings of the NBiS 2009, 2009

Hypotheses Generation Pertaining to Ayurveda Using Automated Vocabulary Generation and Transitive Text Mining.
Proceedings of the NBiS 2009, 2009

A Genetic Association Study between Breast Cancer and Osteoporosis Using Transitive Text Mining.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

Knowledge Extraction and Extrapolation Using Ancient and Modern Biomedical Literature.
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.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

Automated Metadata Generation and its Application to Biological Association Extraction.
Proceedings of the 22nd International Conference on Advanced Information Networking and Applications, 2008

2005
Distributed multi-agent information filtering - A comparative study.
J. Assoc. Inf. Sci. Technol., 2005

Generating association graphs of non-cooccurring text objects using transitive methods.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

2004
COBioSIFTER - A CORBA-Based Distributed Multi-Agent Biological Information Management System.
Clust. Comput., 2004

BioMap: toward the development of a knowledge base of biomedical literature.
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.
Proceedings of the Managing and Enhancing Information: Cultures and Conflicts, 2004

2003
Genetic Sequence Classification and its Application to Cross-Species Homology Detection.
J. VLSI Signal Process., 2003

Automated Web navigation using multiagent adaptive dynamic programming.
IEEE Trans. Syst. Man Cybern. Part A, 2003

Identification of Biological Relationships from Text Documentsusing Efficient Computational Methods.
J. Bioinform. Comput. Biol., 2003

Multi-agent information classification using dynamic acquaintance lists.
J. Assoc. Inf. Sci. Technol., 2003

Simulation Studies of Different Dimensions of Users' Interests and their Impact on User Modeling and Information Filtering.
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.
Autom., 2003

2002
Feature Decomposition Architectures for Neural Networks: Algorithms, Error Bounds, and Applications.
Int. J. Neural Syst., 2002

Homogeneous Agent-Based Distributed Information Filtering.
Clust. Comput., 2002

An intelligent biological information management system.
Bioinform., 2002

Concept extraction and association from cancer literature.
Proceedings of the Fourth ACM CIKM International Workshop on Web Information and Data Management (WIDM 2002), 2002

An intelligent biological information management system.
Proceedings of the 2002 ACM Symposium on Applied Computing (SAC), 2002

A comparative study of genetic sequence classification algorithms.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

A Multi-Level Text Mining Method to Extract Biological Relationships.
Proceedings of the 1st IEEE Computer Society Bioinformatics Conference, 2002

2001
SIFTER-II: a heterogeneous agent society for information filtering.
Proceedings of the 2001 ACM Symposium on Applied Computing (SAC), 2001

Detecting Gene Relations from MEDLINE Abstracts.
Proceedings of the 6th Pacific Symposium on Biocomputing, 2001

A Comparison Between Single-agent and Multi-agent Classification of Documents.
Proceedings of the 15th International Parallel & Distributed Processing Symposium (IPDPS-01), 2001

2000
Multi-agent Adaptive Dynamic Programming.
Proceedings of the MICAI 2000: Advances in Artificial Intelligence, 2000

1998
A Bidding Mechanism for Web-Based Agents Involved in Information Classification.
World Wide Web, 1998

On designing and implementing a collaborative system using the distributed-object model of Java-RMI.
Parallel Distributed Comput. Pract., 1998

1997
A Multilevel Approach to Intelligent Information Filtering: Model, System, and Evaluation.
ACM Trans. Inf. Syst., 1997

Adaptive control using neural networks and approximate models.
IEEE Trans. Neural Networks, 1997

1996
Detection of Shifts in User Interests for Personalized Information Filtering.
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.
Proceedings of the Advances in Artificial Intelligence, 1996

1994
Adaptive control of nonlinear multivariable systems using neural networks.
Neural Networks, 1994

1993
Disturbance rejection in nonlinear systems using neural networks.
IEEE Trans. Neural Networks, 1993

1991
Associative learning in random environments using neural networks.
IEEE Trans. Neural Networks, 1991

1990
Dynamic path planning in sensor-based terrain acquisition.
IEEE Trans. Robotics Autom., 1990

1989
Associative learning of Boolean functions.
IEEE Trans. Syst. Man Cybern., 1989

Sensor-Based Terrain Acquisition: a "Seed Spreader" Strategy.
Proceedings of the IEEE International Workshop on Intelligent Robots and Systems '89, 1989


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