170 results on '"Snehasis Mukhopadhyay"'
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2. AI-Augmented Peer Led Team Learning for STEM Education.
3. Mutual Learning for Pattern Recognition.
4. Mutual Learning Algorithm for Kidney Cyst, Kidney Tumor and Kidney Stone Diagnosis.
5. Mutual Learning in Optimization.
6. Monitoring Cyber Peer-Led Team Learning: A Multimodal Human-in-the-loop Approach.
7. An Interactive Approach to Bias Mitigation in Machine Learning.
8. Mutual Reinforcement Learning with Heterogenous Agents.
9. Mutual Learning: Part II -Reinforcement Learning.
10. Interactive Watershed Optimization in the Presence of Spatially-varying and Uncertain Stakeholder Preferences.
11. Non-Stationary Reinforcement-Learning Based Dimensionality Reduction for Multi-objective Optimization of Wetland Design.
12. Mutual Learning: Part I - Learning Automata.
13. Uncertainty-Based Deep Learning Networks for Limited Data Wetland User Models.
14. Interactive Machine Learning by Visualization: A Small Data Solution.
15. Machine Learning with Small Data for User Modeling of Watershed Stakeholders Engaged in Interactive Optimization.
16. Reinforcement Learning Algorithms for Uncertain, Dynamic, Zero-Sum Games.
17. Why the 'selfish' optimizing agents could solve the decentralized reinforcement learning problems.
18. Selectively decentralized Q-learning.
19. Multidisciplinary Optimization in Decentralized Reinforcement Learning.
20. Two-phase selective decentralization to improve reinforcement learning systems with MDP.
21. Fuzzy and deep learning approaches for user modeling in wetland design.
22. Identification and optimal control of large-scale systems using selective decentralization.
23. Fast Reinforcement Learning using multiple models.
24. User modeling with limited data: Application to stakeholder-driven watershed design.
25. User Modelling for Interactive Optimization Using Neural Network.
26. Interactive pattern mining on hidden data: a sampling-based solution.
27. Decentralized pursuit learning automata in batch mode.
28. Decentralized and partially decentralized reinforcement learning for designing a distributed wetland system in watersheds.
29. Software Service Selection by Multi-level Matching and Reinforcement Learning.
30. A novel reinforcement learning framework for sensor subset selection.
31. Text mining for bone biology.
32. To communicate or not to communicate: A decision-theoretic approach to decentralized adaptive control.
33. Decentralized and Partially Decentralized Reinforcement Learning for Distributed Combinatorial Optimization Problems.
34. A web-based software tool for participatory optimization of conservation practices in watersheds.
35. Visualizing a Correlative Multi-level Graph of Biology Entity Interactions.
36. Hypotheses Generation Pertaining to Ayurveda Using Automated Vocabulary Generation and Transitive Text Mining.
37. Knowledge Extraction and Extrapolation Using Ancient and Modern Biomedical Literature.
38. Comparison of Some Single-agent and Multi-agent Information Filtering Systems on a Benchmark Text Data Set.
39. A Genetic Association Study between Breast Cancer and Osteoporosis Using Transitive Text Mining.
40. Reinforcement Learning for Human-Machine Collaborative Optimization: Application in Ground Water Monitoring.
41. Automated Metadata Generation and its Application to Biological Association Extraction.
42. Multi-way Association Extraction from Biological Text Documents Using Hyper-Graphs.
43. Generating association graphs of non-cooccurring text objects using transitive methods.
44. A learning approach to the database selection problem in the presence of dynamic user interests and database contents.
45. BioMap: toward the development of a knowledge base of biomedical literature.
46. Concept extraction and association from cancer literature.
47. A Multi-Level Text Mining Method to Extract Biological Relationships.
48. A comparative study of genetic sequence classification algorithms.
49. An intelligent biological information management system.
50. Detecting Gene Relations from MEDLINE Abstracts.
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