Snehasis Mukhopadhyay - researchr alias

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2010

2009

Reinforcement Learning for Human-Machine Collaborative Optimization: Application in Ground Water MonitoringMeghna Babbar-Sebens, Snehasis Mukhopadhyay. SMC 2009: 3563-3568 [doi]

A Genetic Association Study between Breast Cancer and Osteoporosis Using Transitive Text MiningBi-Hua Cheng, Harsha Gopal Goud Vaka, Snehasis Mukhopadhyay. bibm 2009: 411-414 [doi]

Comparison of Some Single-agent and Multi-agent Information Filtering Systems on a Benchmark Text Data SetSnehasis Mukhopadhyay, Shengquan Peng, Rajeev R. Raje, Mathew J. Palakal, Javed Mostafa. seke 2009: 185-188

Knowledge Extraction and Extrapolation Using Ancient and Modern Biomedical LiteratureHarsha Gopal Goud Vaka, Snehasis Mukhopadhyay. aina 2009: 996-1001 [doi]

Hypotheses Generation Pertaining to Ayurveda Using Automated Vocabulary Generation and Transitive Text MiningHarsha Gopal Goud Vaka, Snehasis Mukhopadhyay. nbis 2009: 200-205 [doi]

Visualizing a Correlative Multi-level Graph of Biology Entity InteractionsQian You, Shiaofen Fang, Snehasis Mukhopadhyay, Harsha Gopal Goud Vaka, Jake Chen. nbis 2009: 304-309 [doi]

2008

Automated Metadata Generation and its Application to Biological Association ExtractionSnehasis Mukhopadhyay, Niranjan Jayadevaprakash. aina 2008: 708-713 [doi]

Multi-way Association Extraction from Biological Text Documents Using Hyper-GraphsSnehasis Mukhopadhyay, Mathew J. Palakal, Kalyan Maddu. bibm 2008: 257-262 [doi]

2005

Generating association graphs of non-cooccurring text objects using transitive methodsNiranjan Jayadevaprakash, Snehasis Mukhopadhyay, Mathew J. Palakal. SAC 2005: 141-145 [doi]

Distributed multi-agent information filtering - A comparative studySnehasis Mukhopadhyay, Shengquan Peng, Rajeev R. Raje, Javed Mostafa, Mathew J. Palakal. jasis, 56(8):834-842, 2005. [doi]

2004

BioMap: toward the development of a knowledge base of biomedical literatureKamal Kumar, Mathew J. Palakal, Snehasis Mukhopadhyay, Mathew J. Stephens, Huian Li. SAC 2004: 121-127 [doi]

COBioSIFTER - A CORBA-Based Distributed Multi-Agent Biological Information Management SystemRajeev R. Raje, Daocheng Zhu, Snehasis Mukhopadhyay, Liying Tang, Mathew J. Palakal, Javed Mostafa. cluster, 7(4):373-389, 2004. [doi]

2003

Simulation Studies of Different Dimensions of Users Interests and their Impact on User Modeling and Information FilteringJaved Mostafa, Snehasis Mukhopadhyay, Mathew J. Palakal. ir, 6(2):199-223, 2003.

Genetic Sequence Classification and its Application to Cross-Species Homology DetectionSnehasis Mukhopadhyay, Changhong Tang, Jeffrey Huang, Mathew J. Palakal. vlsisp, 35(3):273-285, 2003. [doi]

Multi-agent information classification using dynamic acquaintance listsSnehasis Mukhopadhyay, Shengquan Peng, Rajeev R. Raje, Mathew J. Palakal, Javed Mostafa. jasis, 54(10):966-975, 2003. [doi]

Neural and adaptive systems: fundamentals through simulations: José C. Principe, Neil R. Euliano and W. Curt Lefebvre; John Wiley & Sons, Inc., USA, 2000, ISBN 0-471-35167-9Snehasis Mukhopadhyay. automatica, 39(7):1313-1315, 2003. [doi]

Identification of Biological Relationships from Text Documentsusing Efficient Computational MethodsMathew J. Palakal, Matthew Stephens, Snehasis Mukhopadhyay, Rajeev R. Raje, Simon Rhodes. jbcb, 1(2):307-342, 2003. [doi]

2002

Concept extraction and association from cancer literatureYueyu Fu, Travis Bauer, Javed Mostafa, Mathew J. Palakal, Snehasis Mukhopadhyay. widm 2002: 100-103 [doi]

An intelligent biological information management systemMathew J. Palakal, Snehasis Mukhopadhyay, Javed Mostafa, Rajeev R. Raje, Mathias N Cho, Santosh Mishra. bioinformatics, 18(10):1283-1288, 2002.

A Multi-Level Text Mining Method to Extract Biological RelationshipsMathew J. Palakal, Matthew Stephens, Snehasis Mukhopadhyay, Rajeev R. Raje, Simon Rhodes. csb 2002: 97-108 [doi]

An intelligent biological information management systemMathew J. Palakal, Snehasis Mukhopadhyay, Javed Mostafa. SAC 2002: 159-163 [doi]

Homogeneous Agent-Based Distributed Information FilteringRajeev R. Raje, Mingyong Qiao, Snehasis Mukhopadhyay, Mathew J. Palakal, Shengquan Peng, Javed Mostafa. cluster, 5(4):377-388, 2002.

Feature Decomposition Architectures for Neural Networks: Algorithms, Error Bounds, and ApplicationsHaiying Wang, Snehasis Mukhopadhyay, Shiaofen Fang. IJNS, 12(1):69-81, 2002.

2001

2000

Multi-agent Adaptive Dynamic ProgrammingSnehasis Mukhopadhyay, Joby Varghese. micai 2000: 574-585

1998

A Bidding Mechanism for Web-Based Agents Involved in Information ClassificationMichael Boyles, Javed Mostafa, Snehasis Mukhopadhyay, Mathew J. Palakal, Artur Papiez, Nila Patel, Rajeev R. Raje. www, 1(3):155-165, 1998.

1997

A Multilevel Approach to Intelligent Information Filtering: Model, System, and EvaluationJaved Mostafa, Snehasis Mukhopadhyay, Wai Lam, Mathew J. Palakal. tois, 15(4):368-399, 1997. [doi]

1996

Detection of Shifts in User Interests for Personalized Information FilteringWai Lam, Snehasis Mukhopadhyay, Javed Mostafa, Mathew J. Palakal. sigir 1996: 317-325 [doi]

A Two-Level Approach to Learning in Nonstationary EnvironmentsWai Lam, Snehasis Mukhopadhyay. ai 1996: 271-283

1994

Adaptive control of nonlinear multivariable systems using neural networksKumpati S. Narendra, Snehasis Mukhopadhyay. NN, 7(5):737-752, 1994. [doi]