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Shounak Datta
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Generative Adversarial Minority Oversampling
SS Mullick, S Datta, S Das
International Conference on Computer Vision 2019, 2019
2002019
Handling data irregularities in classification: Foundations, trends, and future challenges
S Das, S Datta, BB Chaudhuri
Pattern Recognition 81, 674-693, 2018
1872018
Near-Bayesian support vector machines for imbalanced data classification with equal or unequal misclassification costs
S Datta, S Das
Neural Networks 70, 39-52, 2015
1672015
Adaptive Learning-Based -Nearest Neighbor Classifiers With Resilience to Class Imbalance
SS Mullick, S Datta, S Das
IEEE transactions on neural networks and learning systems 29 (11), 5713-5725, 2018
1032018
Appropriateness of Performance Indices for Imbalanced Data Classification: An Analysis
SS Mullick, S Datta, SG Dhekane, S Das
Pattern Recognition, 107197, 2020
612020
Counterfactual Representation Learning with Balancing Weights
S Assaad, S Zeng, C Tao, S Datta, N Mehta, R Henao, F Li, L Carin
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021
572021
Artificial Intelligence Mapping of Structure to Function in Glaucoma
EB Mariottoni, S Datta, D Dov, AA Jammal, SI Berchuck, IM Tavares, ...
Translational Vision Science & Technology, 2020
512020
Fast automatic estimation of the number of clusters from the minimum inter-center distance for -means clustering
A Gupta, S Datta, S Das
Pattern Recognition Letters 116, 72-79, 2018
402018
Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality
S Datta, S Das
IEEE Transactions on Neural Networks and Learning Systems, 1-7, 2018
392018
Performance of a machine learning algorithm using electronic health record data to predict postoperative complications and report on a mobile platform
Y Ren, TJ Loftus, S Datta, MM Ruppert, Z Guan, S Miao, B Shickel, Z Feng, ...
JAMA Network Open 5 (5), e2211973-e2211973, 2022
352022
Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach
A Gupta, S Datta, S Das
IEEE Transactions on Cybernetics, 2019
352019
A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers
A Ghosh, SS Mullick, S Datta, S Das, AK Das, R Mallipeddi
Pattern Recognition, 2021
312021
Boosting with lexicographic programming: Addressing class imbalance without cost tuning
S Datta, S Nag, S Das
IEEE Transactions on Knowledge and Data Engineering 32 (5), 883-897, 2019
302019
Clustering with missing features: A penalized dissimilarity measure based approach
S Datta, S Bhattacharjee, S Das
Machine Learning, 1-39, 2018
302018
Reinforcement learning in surgery
S Datta, Y Li, MM Ruppert, Y Ren, B Shickel, T Ozrazgat-Baslanti, ...
Surgery 170 (1), 329-332, 2021
272021
A feature weighted penalty based dissimilarity measure for -nearest neighbor classification with missing features
S Datta, D Misra, S Das
Pattern Recognition Letters 80, 231-237, 2016
252016
Single channel electrooculogram (EOG) based interface for mobility aid
A Banerjee, S Chakraborty, P Das, S Datta, A Konar, DN Tibarewala, ...
2012 4th International conference on intelligent human computer interaction …, 2012
252012
A radial boundary intersection aided interior point method for multi-objective optimization
S Datta, A Ghosh, K Sanyal, S Das
Information Sciences 377, 1-16, 2017
212017
Electrooculogram based online control signal generation for wheelchair
A Banerjee, S Datta, P Das, A Konar, DN Tibarewala, R Janarthanan
2012 International Symposium on Electronic System Design (ISED), 251-255, 2012
162012
RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure
S Datta, EB Mariottoni, D Dov, AA Jammal, L Carin, FA Medeiros
Scientific Reports (Nature), 2021
132021
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Articles 1–20