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Mukhopadhyay, Snehasis
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1

Mutual Learning Algorithm for Kidney Cyst, Kidney Tumor, an..:

, In: 2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS),
Chowdhury, Sabrina Tarin ; Mukhopadhyay, Snehasis ; Narendra, Kumpati S. - p. 401-410 , 2023
Link: https://doi.org/10.15439..
 
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2

Mutual Learning for Pattern Recognition:

, In: 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC),
Chowdhury, Sabrina Tarin ; Mukhopadhyay, Snehasis ; Narendra, Kumpati S. - p. 905-912 , 2023
Link: https://doi.org/10.1109/..
 
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3

AI-Augmented Peer Led Team Learning for STEM Education:

, In: 2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI),
DSouza, Karen ; Zhu, Lin ; Varma-Nelson, Pratibha.. - p. 000581-000586 , 2023
Link: https://doi.org/10.1109/..
 
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4

Mutual Learning in Optimization:

, In: 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC),
Narendra, Kumpati S. ; Mukhopadhyay, Snehasis ; Esfandiari, Kasra - p. 492-497 , 2022
Link: https://doi.org/10.1109/..
 
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5

Exploration and Visualization of Patterns Underlying Multis..:

Piemonti, Adriana Debora ; Guizani, Mariam ; Babbar‐Sebens, Meghna..
Water Resources Research.  57 (2021)  5 - p. , 2021
Link: https://doi.org/10.1029/..
 
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6

An Interactive Approach to Bias Mitigation in Machine Learn..:

, In: 2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC),
Wang, Hao ; Mukhopadhyay, Snehasis ; Xiao, Yunyu. - p. 199-205 , 2021
Link: https://doi.org/10.1109/..
 
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7

Peer Assistant Role Models in a Graduate Computer Science C..:

, In: Transactions on Computational Science and Computational Intelligence; Advances in Software Engineering, Education, and e-Learning,
Pietri, Evava ; Ashburn-Nardo, Leslie ; Mukhopadhyay, Snehasis - p. 179-194 , 2021
Link: https://doi.org/10.1007/..
 
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8

Interactive Watershed Optimization in the Presence of Spati..:

, In: 2020 IEEE International Conference on Human-Machine Systems (ICHMS),
Babbar-Sebens, Meghna ; Cannady-Shultz, Kenneth R. ; Mukhopadhyay, Snehasis - p. 1-6 , 2020
Link: https://doi.org/10.1109/..
 
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9

Mutual Learning: Part II --Reinforcement Learning:

, In: 2020 American Control Conference (ACC),
Narendra, Kumpati S. ; Mukhopadhyay, Snehasis - p. 1105-1110 , 2020
Link: https://doi.org/10.23919..
 
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10

Non-Stationary Reinforcement-Learning Based Dimensionality ..:

, In: Proceedings of the 2019 5th International Conference on Robotics and Artificial Intelligence,
Hoblitzell, Andrew ; Babbar-Sebens, Meghna ; Mukhopadhyay, Snehasis - p. 82-86 , 2019
Link: https://dl.acm.org/doi/1..
 
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11

Machine Learning with Small Data for User Modeling of Water..:

, In: Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence,
Hoblitzell, Andrew ; Babbar-Sebens, Meghna ; Mukhopadhyay, Snehasis - p. 22-27 , 2018
Link: https://dl.acm.org/doi/1..
 
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12

Interactive genetic algorithm for user‐centered design of d..:

Piemonti, Adriana Debora ; Babbar‐Sebens, Meghna ; Mukhopadhyay, Snehasis.
Water Resources Research.  53 (2017)  5 - p. 4303-4326 , 2017
Link: https://doi.org/10.1002/..
 
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13

Proceedings of the 25th ACM International on Conference on ..:

Mukhopadhyay, Snehasis ; Zhai, ChengXiang ; Bertino, Elisa... , 2016
Link: https://dl.acm.org/doi/1..
 
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14

A web-based software tool for participatory optimization of..:

Babbar-Sebens, Meghna ; Mukhopadhyay, Snehasis ; Singh, Vidya Bhushan.
Environmental Modelling & Software.  69 (2015)  - p. 111-127 , 2015
Link: https://doi.org/10.1016/..
 
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15

Interactive pattern mining on hidden data : a sampling-b..:

, In: Proceedings of the 21st ACM international conference on Information and knowledge management,
Bhuiyan, Mansurul ; Mukhopadhyay, Snehasis ; Hasan, Mohammad Al - p. 95-104 , 2012
Link: https://dl.acm.org/doi/1..
 
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