Sankha Subhra Mullick
Recent advances in differential evolution–an updated survey.
S Das, SS Mullick, PN Suganthan
Swarm and Evolutionary Computation 27, 1-30, 2016
Generative adversarial minority oversampling
SS Mullick, S Datta, S Das
Proceedings of the IEEE International Conference on Computer Vision, 1695-1704, 2019
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
Appropriateness of performance indices for imbalanced data classification: An analysis
SS Mullick, S Datta, SG Dhekane, S Das
Pattern Recognition 102, 107197, 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
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
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
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
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
On Convergence of the Class Membership Estimator in Fuzzy -Nearest Neighbor Classifier
I Banerjee, SS Mullick, S Das
IEEE Transactions on Fuzzy Systems 27 (6), 1226-1236, 2018
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
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
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
Generalized mean based back-propagation of errors for ambiguity resolution
S Datta, SS Mullick, S Das
Pattern Recognition Letters 94, 22-29, 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
Fortifying Fully Convolutional Generative Adversarial Networks for Image Super-Resolution Using Divergence Measures
A Basu, K Bose, SS Mullick, A Chakrabarty, S Das
arXiv preprint arXiv:2404.06294, 2024
On Class Imbalanced Learning: Design of Non-parametricClassifiers, Performance Indices, and Deep Oversampling Strategies
SS Mullick
Indian Statistical Institute, 2021
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