54 Publications (Page 1 of 3)
2019
Why the ‘selfish’ optimizing agents could solve the decentralized reinforcement learning problemsNguyen, Thanh⋅Mukhopadhyay, Snehasis and Babbar-Sebens, MeghnaAI Communications, vol. 32, (no. 2), pp. 159, 2019-05-16.
| Journal Article
2018
Interactive Machine Learning by Visualization: A Small Data SolutionLi, Huang⋅Li, Huang⋅Fang, Shiaofen⋅Fang, Shiaofen⋅Mukhopadhyay, Snehasis⋅Mukhopadhyay, Snehasis⋅Saykin, Andrew J⋅Saykin, Andrew J⋅Shen, Li and Shen, Li2018 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 MDPNguyen, Thanh and Mukhopadhyay, SnehasisAI 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 behaviorPiemonti, Adriana Debora⋅Babbar‐Sebens, Meghna⋅Mukhopadhyay, Snehasis and Kleinberg, AustinWater 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 watershedsBabbar-Sebens, Meghna⋅Mukhopadhyay, Snehasis⋅Singh, Vidya Bhushan and Piemonti, Adriana DeboraEnvironmental Modelling and Software, vol. 69, pp. 127, July 2015.
| Journal Article
2011
Multilevel text mining for bone biologyTilak, Omkar⋅Tilak, Omkar⋅Tilak, Omkar⋅Tilak, Omkar⋅Hoblitzell, Andrew⋅Hoblitzell, Andrew⋅Hoblitzell, Andrew⋅Hoblitzell, Andrew⋅Mukhopadhyay, Snehasis⋅Mukhopadhyay, Snehasis⋅Mukhopadhyay, Snehasis⋅Mukhopadhyay, Snehasis⋅You, Qian⋅You, Qian⋅You, Qian⋅You, Qian⋅Fang, Shiaofen⋅Fang, Shiaofen⋅Fang, Shiaofen⋅Fang, Shiaofen⋅Xia, Yuni⋅Xia, Yuni⋅Xia, Yuni⋅Xia, Yuni⋅Bidwell, Joseph⋅Bidwell, Joseph⋅Bidwell, Joseph and Bidwell, JosephConcurrency and Computation: Practice and Experience, vol. 23, (no. 17), pp. 2364, 10 December 2011.
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Partially decentralized reinforcement learning in finite, multi-agent Markov decision processesTilak, Omkar and Mukhopadhyay, SnehasisAI Communications, vol. 24, (no. 4), pp. 309, 2011-00-00.
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2010
Multi-way association extraction and visualization from biological text documents using hyper-graphs: applications to genetic association studies for diseases.Mukhopadhyay, Snehasis⋅Palakal, Mathew J and Maddu, KalyanArtificial intelligence in medicine, vol. 49, (no. 3), pp. 145-54, 2010/Jul.
| Journal Article
2004
A learning approach to the database selection problem in the presence of dynamic user interests and database contentsBajracharya, Pooja and Mukhopadhyay, SnehasisProceedings 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 literatureKumar, Kamal⋅Palakal, Mathew J⋅Mukhopadhyay, Snehasis⋅Stephens, Mathew J and Li, HuianSymposium 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 SystemRaje, Rajeev⋅Raje, Rajeev R⋅Zhu, Daocheng⋅Zhu, Daocheng⋅Mukhopadhyay, Snehasis⋅Mukhopadhyay, Snehasis⋅Tang, Liying⋅Tang, Liying⋅Palakal, Mathew⋅Palakal, Mathew⋅Mostafa, Javed and Mostafa, JavedCluster Computing, vol. 7, (no. 4), pp. 373-389, 2004.
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TransMiner: mining transitive associations among biological objects from text.Narayanasamy, Vijay⋅Narayanasamy, Vijay⋅Mukhopadhyay, Snehasis⋅Mukhopadhyay, Snehasis⋅Palakal, Mathew⋅Palakal, Mathew⋅Potter, David A and Potter, David AJournal of biomedical science, vol. 11, (no. 6), pp. 864-73, 2004 Nov-Dec.
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2003
Genetic Sequence Classification and its Application to Cross-Species Homology Detection.Mukhopadhyay, Snehasis⋅Tang, C.⋅Huang, J. and Palakal, Mathew JJournal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, vol. 35, (no. 3), pp. 273-285, 2003.
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Neural and adaptive systems: fundamentals through simulationsMukhopadhyay, SnehasisAutomatica, vol. 39, (no. 7), pp. 1315, 2003-07-00.
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Simulation Studies of Different Dimensions of Users' Interests and their Impact on User Modeling and Information FilteringMostafa, Javed⋅Mostafa, Javed⋅Mukhopadhyay, Snehasis⋅Mukhopadhyay, Snehasis⋅Palakal, Mathew and Palakal, MathewInformation Retrieval, vol. 6, (no. 2), pp. 199-223, Apr 2003.
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An intelligent biological information management system.Palakal, Mathew J⋅Mukhopadhyay, Snehasis⋅Mostafa, Javed⋅Raje, Rajeev R⋅N'Cho, Mathias and Mishra, SantoshBioinformatics (Oxford, England) , vol. 18, (no. 10), pp. 1283-8, 2002/Oct.
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Concept extraction and association from cancer literatureFu, Yueyu⋅Bauer, Travis⋅Mostafa, Javed⋅Palakal, Mathew and Mukhopadhyay, SnehasisWorkshop 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, Haiying⋅Mukhopadhyay, Snehasis and Fang, ShiaofenInternational journal of neural systems, vol. 12, (no. 1), pp. 69-81, 2002/Feb.
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