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Swagatam Das
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Publications
- 2023
- [c193]Shounak Datta, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das:
Interval Bound Interpolation for Few-shot Learning with Few Tasks. ICML 2023: 7141-7166 - 2022
- [j150]Arka Ghosh, Sankha Subhra Mullick, Shounak Datta, Swagatam Das
, Asit Kumar Das, Rammohan Mallipeddi:
A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers. Pattern Recognit. 122: 108279 (2022) - [i25]Shounak Datta, Sankha Subhra Mullick, Swagatam Das:
Interval Bound Propagation-aided Few-shot Learning. CoRR abs/2204.03511 (2022) - 2021
- [j136]Avisek Gupta
Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multiobjective Optimization Approach. IEEE Trans. Cybern. 51(5): 2601-2611 (2021) - 2020
- [j130]Sankha Subhra Mullick, Shounak Datta, Sourish Gunesh Dhekane, Swagatam Das
Appropriateness of performance indices for imbalanced data classification: An analysis. Pattern Recognit. 102: 107197 (2020) - [j125]Shounak Datta
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning. IEEE Trans. Knowl. Data Eng. 32(5): 883-897 (2020) - [i14]Arka Ghosh, Sankha Subhra Mullick, Shounak Datta, Swagatam Das, Rammohan Mallipeddi, Asit Kumar Das:
One Sparse Perturbation to Fool them All, almost Always! CoRR abs/2004.13002 (2020) - [i13]Sankha Subhra Mullick, Shounak Datta, Sourish Gunesh Dhekane, Swagatam Das:
Appropriateness of Performance Indices for Imbalanced Data Classification: An Analysis. CoRR abs/2008.11752 (2020) - 2019
- [j117]Shounak Datta
Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1602-1608 (2019) - [c172]Sankha Subhra Mullick, Shounak Datta, Swagatam Das
Generative Adversarial Minority Oversampling. ICCV 2019: 1695-1704 - [i10]Sankha Subhra Mullick, Shounak Datta, Swagatam Das:
Generative Adversarial Minority Oversampling. CoRR abs/1903.09730 (2019) - 2018
- [j114]Shounak Datta, Supritam Bhattacharjee, Swagatam Das
Clustering with missing features: a penalized dissimilarity measure based approach. Mach. Learn. 107(12): 1987-2025 (2018) - [j113]Swagatam Das
Handling data irregularities in classification: Foundations, trends, and future challenges. Pattern Recognit. 81: 674-693 (2018) - [j111]Avisek Gupta
Fast automatic estimation of the number of clusters from the minimum inter-center distance for k-means clustering. Pattern Recognit. Lett. 116: 72-79 (2018) - [j106]Sankha Subhra Mullick, Shounak Datta
Adaptive Learning-Based $k$ -Nearest Neighbor Classifiers With Resilience to Class Imbalance. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5713-5725 (2018) - [i7]Avisek Gupta, Shounak Datta, Swagatam Das:
Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach. CoRR abs/1808.03327 (2018) - 2017
- [j102]Shounak Datta, Abhiroop Ghosh
A Radial Boundary Intersection aided interior point method for multi-objective optimization. Inf. Sci. 377: 1-16 (2017) - [j97]Shounak Datta, Sankha Subhra Mullick, Swagatam Das
Generalized mean based back-propagation of errors for ambiguity resolution. Pattern Recognit. Lett. 94: 22-29 (2017) - [i6]Shounak Datta, Sayak Nag, Swagatam Das:
On Boosting, Tug of War, and Lexicographic Programming. CoRR abs/1708.09684 (2017) - [i5]Shounak Datta, Sayak Nag, Sankha Subhra Mullick, Swagatam Das:
Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small Disjuncts. CoRR abs/1712.08493 (2017) - 2016
- [j85]Shounak Datta, Debaleena Misra, Swagatam Das
A feature weighted penalty based dissimilarity measure for k-nearest neighbor classification with missing features. Pattern Recognit. Lett. 80: 231-237 (2016) - [i3]Shounak Datta, Supritam Bhattacharjee, Swagatam Das:
Clustering with Missing Features: A Penalized Dissimilarity Measure based approach. CoRR abs/1604.06602 (2016) - 2015
- [j79]Shounak Datta, Swagatam Das
Near-Bayesian Support Vector Machines for imbalanced data classification with equal or unequal misclassification costs. Neural Networks 70: 39-52 (2015) - [c161]Sujoy Paul, Shounak Datta, Swagatam Das
Rough-Fuzzy Collaborative Multi-level Image Thresholding: A Differential Evolution Approach. MENDEL 2015: 329-341
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