Recent advances in differential evolution–an updated survey. S Das, SS Mullick, PN Suganthan
Swarm and Evolutionary Computation 27, 1-30, 2016
1458 2016 Generative adversarial minority oversampling SS Mullick, S Datta, S Das
Proceedings of the IEEE International Conference on Computer Vision, 1695-1704, 2019
176 2019 Adaptive Learning-Based SS Mullick, S Datta, S Das
IEEE transactions on neural networks and learning systems 29 (11), 5713-5725, 2018
93 2018 Appropriateness of performance indices for imbalanced data classification: An analysis SS Mullick, S Datta, SG Dhekane, S Das
Pattern Recognition 102, 107197, 2020
51 2020 A parameter independent fuzzy weighted k-nearest neighbor classifier N Biswas, S Chakraborty, SS Mullick, S Das
Pattern Recognition Letters 101, 80-87, 2018
44 2018 A switched parameter differential evolution with optional blending crossover for scalable numerical optimization A Ghosh, S Das, SS Mullick, R Mallipeddi, AK Das
Applied Soft Computing 57, 329-352, 2017
38 2017 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 122, 108279, 2022
24 2022 A switched parameter differential evolution for large scale global optimization–simpler may be better S Das, A Ghosh, SS Mullick
Mendel 2015: Recent Advances in Soft Computing, 103-125, 2015
24 2015 On supervised class-imbalanced learning: An updated perspective and some key challenges S Das, SS Mullick, I Zelinka
IEEE Transactions on Artificial Intelligence 3 (6), 973-993, 2022
13 2022 On Convergence of the Class Membership Estimator in Fuzzy I Banerjee, SS Mullick, S Das
IEEE Transactions on Fuzzy Systems 27 (6), 1226-1236, 2018
8 2018 Diversifying support vector machines for boosting using kernel perturbation: Applications to class imbalance and small disjuncts S Datta, S Nag, SS Mullick, S Das
arXiv preprint arXiv:1712.08493, 2017
5 2017 Do Preprocessing and Class Imbalance Matter to the Deep Image Classifiers for COVID-19 Detection? An Explainable Analysis A Basu, S Das, SS Mullick, S Das
IEEE Transactions on Artificial Intelligence 4 (2), 229-241, 2022
3 2022 Generalized mean based back-propagation of errors for ambiguity resolution S Datta, SS Mullick, S Das
Pattern Recognition Letters 94, 22-29, 2017
2 2017 Interval Bound Interpolation for Few-shot Learning with Few Tasks S Datta, SS Mullick, A Chakrabarty, S Das
International Conference on Machine Learning, 7141-7166, 2023
2023 Content Moderation for Evolving Policies using Binary Question Answering SS Mullick, M Bhambhani, S Sinha, A Mathur, S Gupta, J Shah
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
2023 On Class Imbalanced Learning: Design of Non-parametricClassifiers, Performance Indices, and Deep Oversampling Strategies SS Mullick
Indian Statistical Institute, 2021
2021 
Swagatam DasProfessor, Electronics and Communication Sciences Unit, Indian Statistical Institute, KolkataVerified email at isical.ac.in
