researcher

Swagatam Das

Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India

15 papers hereh-index 7627k citations419 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position

middle author3
last author11

Across the 14 of 15 papers where every author was matched, so the position is known.

fields

affiliations

Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India

Homepage

same name

Swagatam Das — 14 papers, h 17
Swagatam Das — 10 papers, h 2
Swagatam Das — 8 papers, h 5
Swagatam Das — 7 papers, h 1
Swagatam Das — 5 papers, h 4
Swagatam Das — 4 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity

20112023

most citedRecent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review

508 citations · 600 across the 13 of their papers we have counts for

collaborators

Showing 2019Show all

3 papers · 1 filter

cs.CE2019★ 1 cited

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…

stat.ML2019★ 2 cited

A Strongly Consistent Sparse $k$ -means Clustering with Direct $l_{1}$ Penalization on Variable Weights

Saptarshi Chakraborty, Swagatam Das

We propose the Lasso Weighted $k$ -means ( $L W$ - $k$ -means) algorithm as a simple yet efficient sparse clustering procedure for high-dimensional data where the number of features ( $p$ …

cs.CV2019

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…

Utilizing Dependence among Variables in Evolutionary Algorithms for Mixed-Integer Programming: A Case Study on Multi-Objective Constrained Portfolio Optimization

A Strongly Consistent Sparse k-means Clustering with Direct l1​ Penalization on Variable Weights

Generative Adversarial Minority Oversampling

A Strongly Consistent Sparse $k$ -means Clustering with Direct $l_{1}$ Penalization on Variable Weights