508 citations · 600 across the 13 of their papers we have counts for
3 papers · 1 filter
Generative Adversarial Minority Oversampling
Sankha Subhra Mullick, Shounak Datta, Swagatam Das
Class imbalance is a long-standing problem relevant to a number of real-world applications of deep learning. Oversampling techniques, which are effective for handling class imbalan…
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning
Shounak Datta, Sayak Nag, Swagatam Das
A large amount of research effort has been dedicated to adapting boosting for imbalanced classification. However, boosting methods are yet to be satisfactorily immune to class imba…
Kernelized Weighted SUSAN based Fuzzy C-Means Clustering for Noisy Image Segmentation
Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai +1
The paper proposes a novel Kernelized image segmentation scheme for noisy images that utilizes the concept of Smallest Univalue Segment Assimilating Nucleus (SUSAN) and incorporate…