Generative Adversarial Minority Oversampling SS Mullick, S Datta, S Das International Conference on Computer Vision 2019, 2019 | 211 | 2019 |
Handling data irregularities in classification: Foundations, trends, and future challenges S Das, S Datta, BB Chaudhuri Pattern Recognition 81, 674-693, 2018 | 201 | 2018 |
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 | 173 | 2015 |
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 | 111 | 2018 |
Appropriateness of Performance Indices for Imbalanced Data Classification: An Analysis SS Mullick, S Datta, SG Dhekane, S Das Pattern Recognition, 107197, 2020 | 68 | 2020 |
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 | 65 | 2021 |
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 | 53 | 2020 |
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 | 42 | 2018 |
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 | 41 | 2018 |
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 | 37 | 2019 |
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 | 33 | 2021 |
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 | 32 | 2019 |
Clustering with missing features: A penalized dissimilarity measure based approach S Datta, S Bhattacharjee, S Das Machine Learning, 1-39, 2018 | 30 | 2018 |
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 | 26 | 2016 |
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 | 25 | 2012 |
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 | 24 | 2017 |
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 | 16 | 2021 |
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 | 16 | 2012 |
Deep learning–assisted detection of glaucoma progression in spectral-domain OCT EB Mariottoni, S Datta, LS Shigueoka, AA Jammal, IM Tavares, R Henao, ... Ophthalmology Glaucoma 6 (3), 228-238, 2023 | 11 | 2023 |
Development strategy of eye movement controlled rehabilitation aid using Electro-oculogram A Banerjee, S Datta, A Konar, DN Tibarewala Int. J. Sci. Eng. Res 3 (6), 1-6, 2012 | 10 | 2012 |