54 Publications (Page 1 of 3)
2019
Why the ‘selfish’ optimizing agents could solve the decentralized reinforcement learning problems
Nguyen, ThanhMukhopadhyay, Snehasis and Babbar-Sebens, Meghna
AI Communications, vol. 32, (no. 2), pp. 159, 2019-05-16. | Journal Article
2018
Interactive Machine Learning by Visualization: A Small Data Solution
Li, HuangLi, HuangFang, ShiaofenFang, ShiaofenMukhopadhyay, SnehasisMukhopadhyay, SnehasisSaykin, Andrew JSaykin, Andrew JShen, Li and Shen, Li
2018 IEEE International Conference on Big Data (Big Data), vol. 2018, pp. 3521, 2018-Dec.. | Journal Article
 
Two-phase selective decentralization to improve reinforcement learning systems with MDP
Nguyen, Thanh and Mukhopadhyay, Snehasis
AI Communications, vol. 31, (no. 4), pp. 337, 2018-06-11. | Journal Article
2017
Interactive genetic algorithm for user‐centered design of distributed conservation practices in a watershed: An examination of user preferences in objective space and user behavior
Piemonti, Adriana DeboraBabbar‐Sebens, MeghnaMukhopadhyay, Snehasis and Kleinberg, Austin
Water Resources Research, vol. 53, (no. 5), pp. 4326, May 2017. | Journal Article
2015
A web-based software tool for participatory optimization of conservation practices in watersheds
Babbar-Sebens, MeghnaMukhopadhyay, SnehasisSingh, Vidya Bhushan and Piemonti, Adriana Debora
Environmental Modelling and Software, vol. 69, pp. 127, July 2015. | Journal Article
2011
Multilevel text mining for bone biology
Tilak, OmkarTilak, OmkarTilak, OmkarTilak, OmkarHoblitzell, AndrewHoblitzell, AndrewHoblitzell, AndrewHoblitzell, AndrewMukhopadhyay, SnehasisMukhopadhyay, SnehasisMukhopadhyay, SnehasisMukhopadhyay, SnehasisYou, QianYou, QianYou, QianYou, QianFang, ShiaofenFang, ShiaofenFang, ShiaofenFang, ShiaofenXia, YuniXia, YuniXia, YuniXia, YuniBidwell, JosephBidwell, JosephBidwell, Joseph and Bidwell, Joseph
Concurrency and Computation: Practice and Experience, vol. 23, (no. 17), pp. 2364, 10 December 2011. | Journal Article
 
Partially decentralized reinforcement learning in finite, multi-agent Markov decision processes
Tilak, Omkar and Mukhopadhyay, Snehasis
AI Communications, vol. 24, (no. 4), pp. 309, 2011-00-00. | Journal Article
2010
Multi-way association extraction and visualization from biological text documents using hyper-graphs: applications to genetic association studies for diseases.
Mukhopadhyay, SnehasisPalakal, Mathew J and Maddu, Kalyan
Artificial intelligence in medicine, vol. 49, (no. 3), pp. 145-54, 2010/Jul. | Journal Article
2005
Distributed multi-agent information filtering--A comparative study
Mukhopadhyay, SnehasisPeng, S.Raje, Rajeev RMostafa, Javed and Palakal, Mathew J
Journal of the American Society for Information Science and Technology, vol. 56, (no. 8), pp. 834-842, Jun 2005. | Journal Article
2004
A learning approach to the database selection problem in the presence of dynamic user interests and database contents
Bajracharya, Pooja and Mukhopadhyay, Snehasis
Proceedings of the American Society for Information Science and Technology, vol. 41, (no. 1), pp. 248, 2004. | Journal Article
 
BioMap:toward the development of a knowledge base of biomedical literature
Kumar, KamalPalakal, Mathew JMukhopadhyay, SnehasisStephens, Mathew J and Li, Huian
Symposium on Applied Computing: Proceedings of the 2004 ACM symposium on Applied computing; 14-17 Mar. 2004. 2004. | Conference Proceeding
 
COBioSIFTER - A CORBA-Based Distributed Multi-Agent Biological Information Management System
Raje, Rajeev RRaje, RajeevZhu, DaochengZhu, DaochengMukhopadhyay, SnehasisMukhopadhyay, SnehasisTang, LiyingTang, LiyingPalakal, MathewPalakal, MathewMostafa, Javed and Mostafa, Javed
Cluster Computing, vol. 7, (no. 4), pp. 373-389, 2004. | Journal Article
 
TransMiner: mining transitive associations among biological objects from text.
Narayanasamy, VijayNarayanasamy, VijayMukhopadhyay, SnehasisMukhopadhyay, SnehasisPalakal, MathewPalakal, MathewPotter, David A and Potter, David A
Journal of biomedical science, vol. 11, (no. 6), pp. 864-73, 2004 Nov-Dec. | Journal Article
2003
Genetic Sequence Classification and its Application to Cross-Species Homology Detection.
Mukhopadhyay, SnehasisTang, C.Huang, J. and Palakal, Mathew J
Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, vol. 35, (no. 3), pp. 273-285, 2003. | Journal Article
 
Identification of biological relationships from text documents using efficient computational methods.
Palakal, Mathew JStephens, MatthewMukhopadhyay, SnehasisRaje, Rajeev R and Rhodes, Simon J
Journal of bioinformatics and computational biology. , vol. 1, (no. 2), pp. 307-42, 2003/Jul. | Journal Article
 
Multi-agent information classification using dynamic acquaintance lists
Mostafa, JavedMukhopadhyay, SnehasisPalakal, Mathew JPeng, Shengquan and Raje, Rajeev R
Journal of the American Society for Information Science and Technology, vol. 54, (no. 10), pp. 966-975, 2003. | Journal Article
 
Neural and adaptive systems: fundamentals through simulations
Mukhopadhyay, Snehasis
Automatica, vol. 39, (no. 7), pp. 1315, 2003-07-00. | Journal Article
 
Simulation Studies of Different Dimensions of Users' Interests and their Impact on User Modeling and Information Filtering
Mostafa, JavedMostafa, JavedMukhopadhyay, SnehasisMukhopadhyay, SnehasisPalakal, Mathew and Palakal, Mathew
Information Retrieval, vol. 6, (no. 2), pp. 199-223, Apr 2003. | Journal Article
 
Structural integrity redesign through neural-network inverse mapping.
Pidaparti, Ramana MJayanti, S.Palakal, Mathew J and Mukhopadhyay, Snehasis
AIAA Journal, vol. 41, (no. 1), pp. 119-124, 2003. | Journal Article
2002
A multi-level text mining method to extract biological relationships.
Palakal, Mathew JStephens, MatthewMukhopadhyay, SnehasisRaje, Rajeev R and Rhodes, Simon J
Proceedings / IEEE Computer Society Bioinformatics Conference. IEEE Computer Society Bioinformatics Conference. , vol. 1, pp. 97-108, 2002. | Journal Article
 
An intelligent biological information management system
Palakal, Mathew JMukhopadhyay, Snehasis and Mostafa, Javed
Proceedings of the ACM Symposium on Applied Computing, pp. 159-163, 2002. | Journal Article
 
An intelligent biological information management system
Palakal, Mathew JMukhopadhyay, Snehasis and Mostafa, Javed
Symposium on Applied Computing: Proceedings of the 2002 ACM symposium on Applied computing; 11-14 Mar. 2002. 2002. | Conference Proceeding
 
An intelligent biological information management system.
Palakal, Mathew JMukhopadhyay, SnehasisMostafa, JavedRaje, Rajeev RN'Cho, Mathias and Mishra, Santosh
Bioinformatics (Oxford, England) , vol. 18, (no. 10), pp. 1283-8, 2002/Oct. | Journal Article
 
Concept extraction and association from cancer literature
Fu, YueyuBauer, TravisMostafa, JavedPalakal, Mathew and Mukhopadhyay, Snehasis
Workshop On Web Information And Data Management: Proceedings of the 4th international workshop on Web information and data management; 08-08 Nov. 2002. 2002. | Conference Proceeding
 
Feature decomposition architectures for neural networks: algorithms, error bounds, and applications.
Wang, HaiyingMukhopadhyay, Snehasis and Fang, Shiaofen
International journal of neural systems, vol. 12, (no. 1), pp. 69-81, 2002/Feb. | Journal Article