5 citations · 10 across the 4 of their papers we have counts for
5 papers
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities
Yanjie Song, Yutong Wu, Yangyang Guo +7
Evolutionary algorithms (EA), a class of stochastic search methods based on the principles of natural evolution, have received widespread acclaim for their exceptional performance…
A Fitness-assignment Method for Evolutionary Constrained Multi-objective Optimization
Oladayo S. Ajani, Sri Srinivasa Raju M, Anand Paul +1
The effectiveness of Constrained Multi-Objective Evolutionary Algorithms (CMOEAs) depends on their ability to reach the different feasible regions during evolution, by exploiting t…
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image Segmentation
Hritam Basak, Soumitri Chattopadhyay, Rohit Kundu +2
Due to the scarcity of labeled data, Contrastive Self-Supervised Learning (SSL) frameworks have lately shown great potential in several medical image analysis tasks. However, the e…
GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking
Abhishek Kumar, Oladayo S. Ajani, Swagatam Das +1
In machine learning and computer vision, mean shift (MS) qualifies as one of the most popular mode-seeking algorithms used for clustering and image segmentation. It iteratively mov…
A Black-box Adversarial Attack Strategy with Adjustable Sparsity and Generalizability for Deep Image Classifiers
Arka Ghosh, Sankha Subhra Mullick, Shounak Datta +3
Constructing adversarial perturbations for deep neural networks is an important direction of research. Crafting image-dependent adversarial perturbations using white-box feedback h…