Sankha Subhra Mullick
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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
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 switched parameter differential evolution for large scale global optimization–simpler may be better
S Das, A Ghosh, SS Mullick
International Conference on Soft Computing-MENDEL, 103-125, 2016
Appropriateness of performance indices for imbalanced data classification: An analysis
SS Mullick, S Datta, SG Dhekane, S Das
Pattern Recognition 102, 107197, 2020
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
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
Generalized mean based back-propagation of errors for ambiguity resolution
S Datta, SS Mullick, S Das
Pattern Recognition Letters 94, 22-29, 2017
On Class Imbalanced Learning: Design of Non-parametricClassifiers, Performance Indices, and Deep Oversampling Strategies
SS Mullick
Indian Statistical Institute, Kolkata, 2021
One Sparse Perturbation to Fool them All, almost Always!
A Ghosh, SS Mullick, S Dutta, S Das, R Mallipeddi, AK Das
arXiv preprint arXiv:2004.13002, 2020
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