508 citations · 600 across the 13 of their papers we have counts for
15 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…
Hamiltonian Monte Carlo Particle Swarm Optimizer
Omatharv Bharat Vaidya, Rithvik Terence DSouza, Snehanshu Saha +2
We introduce the Hamiltonian Monte Carlo Particle Swarm Optimizer (HMC-PSO), an optimization algorithm that reaps the benefits of both Exponentially Averaged Momentum PSO and HMC s…
Kernel k-Means, By All Means: Algorithms and Strong Consistency
Debolina Paul, Saptarshi Chakraborty, Swagatam Das +1
Kernel -means clustering is a powerful tool for unsupervised learning of non-linearly separable data. Since the earliest attempts, researchers have noted that such algorithms of…
Appropriateness of Performance Indices for Imbalanced Data Classification: An Analysis
Sankha Subhra Mullick, Shounak Datta, Sourish Gunesh Dhekane +1
Indices quantifying the performance of classifiers under class-imbalance, often suffer from distortions depending on the constitution of the test set or the class-specific classifi…
Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review
J. Carrasco, S. García, M. M. Rueda +2
A key aspect of the design of evolutionary and swarm intelligence algorithms is studying their performance. Statistical comparisons are also a crucial part which allows for reliabl…
Utilizing Dependence among Variables in Evolutionary Algorithms for Mixed-Integer Programming: A Case Study on Multi-Objective Constrained Portfolio Optimization
Yi Chen, Aimin Zhou, Swagatam Das
Several real-world applications could be modeled as Mixed-Integer Non-Linear Programming (MINLP) problems, and some prominent examples include portfolio optimization, remote sensin…
A Strongly Consistent Sparse -means Clustering with Direct Penalization on Variable Weights
Saptarshi Chakraborty, Swagatam Das
We propose the Lasso Weighted -means (--means) algorithm as a simple yet efficient sparse clustering procedure for high-dimensional data where the number of features (…
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…
Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach
Avisek Gupta, Shounak Datta, Swagatam Das
Fuzzy clustering methods identify naturally occurring clusters in a dataset, where the extent to which different clusters are overlapped can differ. Most methods have a parameter t…
Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small Disjuncts
Shounak Datta, Sayak Nag, Sankha Subhra Mullick +1
The diversification (generating slightly varying separating discriminators) of Support Vector Machines (SVMs) for boosting has proven to be a challenge due to the strong learning n…
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…
Clustering with Missing Features: A Penalized Dissimilarity Measure based approach
Shounak Datta, Supritam Bhattacharjee, Swagatam Das
Many real-world clustering problems are plagued by incomplete data characterized by missing or absent features for some or all of the data instances. Traditional clustering methods…
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…
Multi-Agent Shape Formation and Tracking Inspired from a Social Foraging Dynamics
Debdipta Goswami, Chiranjib Saha, Kunal Pal +1
Principle of Swarm Intelligence has recently found widespread application in formation control and automated tracking by the automated multi-agent system. This article proposes an…
On Periodic Node Deployment in Wireless Sensor Networks: A Statistical Analysis
Abhishek Sinha, Swagatam Das, Athanasios V. Vasilakos
Rapid progress made in the field of sensor technology, wireless communication, and computer networks in recent past, led to the development of wireless Ad-hoc sensor networks, cons…