Swagatam Das

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 154

Top Venues

Publications

Arindam Majee, Avisek Gupta, Sourav Raha, Swagatam Das
Enhancing MRI-Based Classification of Alzheimer's Disease with Explainable 3D Hybrid Compact Convolutional Transformers. CoRR (2024)
Susmita Ghosh, Swagatam Das
Multi-scale morphology-aided deep medical image segmentation. Eng. Appl. Artif. Intell. 137 (2024)
Indranil Ojha, Kushal Bose, Swagatam Das
Affinity-based Homophily: Can we measure homophily of a graph without using node labels? Tiny Papers @ ICLR (2024)
Yanjie Song, Yutong Wu, Yangyang Guo, Ran Yan, Ponnuthurai Nagaratnam Suganthan, Yue Zhang, Witold Pedrycz, Swagatam Das, Rammohan Mallipeddi, Oladayo Solomon Ajani, Qiang Feng
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities. Swarm Evol. Comput. 86 (2024)
Debanjan Dutta, Anish Chakrabarty, Swagatam Das
Lost in Translation: GANs' Inability to Generate Simple Probability Distributions. Tiny Papers @ ICLR (2024)
Arkaprabha Basu, Kushal Bose, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das
Fortifying Fully Convolutional Generative Adversarial Networks for Image Super-Resolution Using Divergence Measures. CoRR (2024)
Debolina Paul, Saptarshi Chakraborty, Swagatam Das
t-Divergence: A New Divergence Measure with Application to Robust Statistics & Clustering. Tiny Papers @ ICLR (2024)
Subhajit Saha, Md. Sahidullah, Swagatam Das
Exploring Green AI for Audio Deepfake Detection. CoRR (2024)
Abhishek Kumar, Swagatam Das, Rammohan Mallipeddi
An Efficient Differential Grouping Algorithm for Large-Scale Global Optimization. IEEE Trans. Evol. Comput. 28 (1) (2024)
Kushal Bose, Swagatam Das
Can Graph Neural Networks Go Deeper Without Over-Smoothing? Yes, With a Randomized Path Exploration! IEEE Trans. Emerg. Top. Comput. Intell. 7 (5) (2023)
Kushal Bose, Swagatam Das
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings. CoRR (2023)
Abhishek Kumar, Swagatam Das, Lingping Kong, Václav Snásel
Self-Adaptive Spherical Search With a Low-Precision Projection Matrix for Real-World Optimization. IEEE Trans. Cybern. 53 (7) (2023)
Kanchan Rajwar, Kusum Deep, Swagatam Das
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges. Artif. Intell. Rev. 56 (11) (2023)
Abhishek Kumar, Swagatam Das, Rammohan Mallipeddi
UEQMS: UMAP Embedded Quick Mean Shift Algorithm for High Dimensional Clustering. AAAI (2023)
Chandramauli Chakraborty, Sayan Paul, Saptarshi Chakraborty, Swagatam Das
Regularization. AISTATS (2023)
Yanjie Song, Yutong Wu, Yangyang Guo, Ran Yan, Ponnuthurai N. Suganthan, Yue Zhang, Witold Pedrycz, Yingwu Chen, Swagatam Das, Rammohan Mallipeddi, Oladayo Solomon Ajani
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities. CoRR (2023)
Abhishek Kumar, Bablesh Kumar Jha, Swagatam Das, Rammohan Mallipeddi
Spherical Search based constrained optimization algorithm for power flow analysis of islanded microgrids. Appl. Soft Comput. 136 (2023)
Sandipan Dhar, Nanda Dulal Jana, Swagatam Das
An Adaptive-Learning-Based Generative Adversarial Network for One-to-One Voice Conversion. IEEE Trans. Artif. Intell. 4 (1) (2023)
Arkaprabha Basu, Sandip Paul, Sreeya Ghosh, Swagatam Das, Bhabatosh Chanda, Chakravarthy Bhagvati, Václav Snásel
Digital Restoration of Cultural Heritage With Data-Driven Computing: A Survey. IEEE Access 11 (2023)
Faizanuddin Ansari, Swagatam Das, Pourya Shamsolmoali
Handling Class Imbalance by Estimating Minority Class Statistics. IJCNN (2023)
Saptarshi Chakraborty, Debolina Paul, Swagatam Das
On Consistent Entropy-Regularized k-Means Clustering With Feature Weight Learning: Algorithm and Statistical Analyses. IEEE Trans. Cybern. 53 (8) (2023)
Arkaprabha Basu, Sourav Das, Sankha Subhra Mullick, Swagatam Das
Do Preprocessing and Class Imbalance Matter to the Deep Image Classifiers for COVID-19 Detection? An Explainable Analysis. IEEE Trans. Artif. Intell. 4 (2) (2023)
Sandipan Dhar, MD. Tousin Akhter, Padmanabha Banerjee, Nanda Dulal Jana, Swagatam Das
FID-RPRGAN-VC: Fréchet Inception Distance Loss based Region-wise Position Normalized Relativistic GAN for Non-Parallel Voice Conversion. APSIPA ASC (2023)
Sandipan Dhar, Padmanabha Banerjee, Nanda Dulal Jana, Swagatam Das
Voice Conversion Using Feature Specific Loss Function Based Self-Attentive Generative Adversarial Network. ICASSP (2023)
Anish Chakrabarty, Arkaprabha Basu, Swagatam Das
Concurrent Density Estimation with Wasserstein Autoencoders: Some Statistical Insights. CoRR (2023)
Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Salvador García, Eric Granger, Jie Yang
GEN: Generative Equivariant Networks for Diverse Image-to-Image Translation. IEEE Trans. Cybern. 53 (2) (2023)
Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Q. Xu
Implicit Annealing in Kernel Spaces: A Strongly Consistent Clustering Approach. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Shounak Datta, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das
Interval Bound Interpolation for Few-shot Learning with Few Tasks. ICML (2023)
Weiping Ding, Javier Andréu Pérez, Yiu-ming Cheung, Swagatam Das, Xiaodong Yue, Dariusz Mrozek
Special issue on fuzzy systems for biomedical science in healthcare. Appl. Soft Comput. 132 (2023)
Supratik Basu, Jyotishka Ray Choudhury, Debolina Paul, Swagatam Das
Robust and Automatic Data Clustering: Dirichlet Process meets Median-of-Means. CoRR (2023)
Arjun Ghosh, Nanda Dulal Jana, Swagatam Das, Rammohan Mallipeddi
Two-Phase Evolutionary Convolutional Neural Network Architecture Search for Medical Image Classification. IEEE Access 11 (2023)
Abhishek Kumar, Oladayo S. Ajani, Swagatam Das, Rammohan Mallipeddi
GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking. CoRR (2022)
Avisek Gupta, Swagatam Das
On efficient model selection for sparse hard and fuzzy center-based clustering algorithms. Inf. Sci. 590 (2022)
Avisek Gupta, Swagatam Das
Transfer Clustering Using a Multiple Kernel Metric Learned Under Multi-Instance Weak Supervision. IEEE Trans. Emerg. Top. Comput. Intell. 6 (4) (2022)
Swagatam Das, Sankha Subhra Mullick, Ivan Zelinka
On Supervised Class-Imbalanced Learning: An Updated Perspective and Some Key Challenges. IEEE Trans. Artif. Intell. 3 (6) (2022)
Omatharv Bharat Vaidya, Rithvik Terence DSouza, Soma S. Dhavala, Snehanshu Saha, Swagatam Das
HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-Based Optimizer. ICONIP (1) (2022)
Lingping Kong, Abhishek Kumar, Václav Snásel, Swagatam Das, Pavel Krömer, Varun Ojha
CSS-A Cheap-Surrogate-Based Selection Operator for Multi-objective Optimization. BIOMA (2022)
Abhishek Kumar, Oladayo S. Ajani, Swagatam Das, Rammohan Mallipeddi
GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking. CVPR (2022)
Saptarshi Chakraborty, Swagatam Das
Detecting Meaningful Clusters From High-Dimensional Data: A Strongly Consistent Sparse Center-Based Clustering Approach. IEEE Trans. Pattern Anal. Mach. Intell. 44 (6) (2022)
Abhishek Kumar, Swagatam Das, Abhishek Kumar Misra, Devender Singh
A υ-Constrained Matrix Adaptation Evolution Strategy With Broyden-Based Mutation for Constrained Optimization. IEEE Trans. Cybern. 52 (6) (2022)
Shounak Datta, Sankha Subhra Mullick, Swagatam Das
Interval Bound Propagation-aided Few-shot Learning. CoRR (2022)
Quoc Bao Diep, Thanh Cong Truong, Swagatam Das, Ivan Zelinka
Self-Organizing Migrating Algorithm with narrowing search space strategy for robot path planning. Appl. Soft Comput. 116 (2022)
Ivan Zelinka, Swagatam Das
Gamesourcing: an unconventional tool to assist the solution of the traveling salesman problem. Nat. Comput. 21 (2) (2022)
Ivan Zelinka, Quoc Bao Diep, Václav Snásel, Swagatam Das, Giacomo Innocenti, Alberto Tesi, Fabio Schoen, Nikolay V. Kuznetsov
Impact of chaotic dynamics on the performance of metaheuristic optimization algorithms: An experimental analysis. Inf. Sci. 587 (2022)
Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Eric Granger, Salvador García
Wasserstein Embedding for Capsule Learning. CoRR (2022)
Souhardya Sengupta, Swagatam Das
Selective Nearest Neighbors Clustering. Pattern Recognit. Lett. 155 (2022)
Anish Chakrabarty, Swagatam Das
On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks. NeurIPS (2022)
Abhishek Kumar, Swagatam Das, Václav Snásel
Improved spherical search with local distribution induced self-adaptation for hard non-convex optimization with and without constraints. Inf. Sci. 615 (2022)
Surbhi Gupta, Gaurav Singal, Deepak Garg, Swagatam Das
RSAC: A Robust Deep Reinforcement Learning Strategy for Dimensionality Perturbation. IEEE Trans. Emerg. Top. Comput. Intell. 6 (5) (2022)
Abhishek Kumar, Swagatam Das, Rammohan Mallipeddi
A Reference Vector-Based Simplified Covariance Matrix Adaptation Evolution Strategy for Constrained Global Optimization. IEEE Trans. Cybern. 52 (5) (2022)
Arka Ghosh, Swagatam Das, Asit Kumar Das, Roman Senkerik, Adam Viktorin, Ivan Zelinka, Antonio David Masegosa
Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution. Swarm Evol. Comput. 71 (2022)
Arka Ghosh, Sankha Subhra Mullick, Shounak Datta, Swagatam Das, Asit Kr. Das, Rammohan Mallipeddi
A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers. Pattern Recognit. 122 (2022)
Omatharv Bharat Vaidya, Rithvik Terence DSouza, Snehanshu Saha, Soma S. Dhavala, Swagatam Das
Hamiltonian Monte Carlo Particle Swarm Optimizer. CoRR (2022)
Saptarshi Chakraborty, Debolina Paul, Swagatam Das
Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates and Model Misspecification. CoRR (2022)
Avisek Gupta, Shounak Datta, Swagatam Das
Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multiobjective Optimization Approach. IEEE Trans. Cybern. 51 (5) (2021)
Saptarshi Chakraborty, Debolina Paul, Swagatam Das
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm. AAAI (2021)
Swagatam Das, Salvador García, Isaac Triguero
Neurocomputing guest editorial for the special issue: Advances in deep and shallow machine learning approaches for handling data irregularities. Neurocomputing 419 (2021)
Susmita Ghosh, Swagatam Das, Rammohan Mallipeddi
A Deep Learning Framework Integrating the Spectral and Spatial Features for Image-Assisted Medical Diagnostics. IEEE Access 9 (2021)
Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Xu
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering. CoRR (2021)
Subhodip Biswas, Debanjan Saha, Shuvodeep De, Adam D. Cobb, Swagatam Das, Brian Jalaian
Improving Differential Evolution through Bayesian Hyperparameter Optimization. CEC (2021)
Abhishek Kumar, Bablesh Kumar Jha, Swagatam Das, Rammohan Mallipeddi
Power Flow Analysis of Islanded Microgrids: A Differential Evolution Approach. IEEE Access 9 (2021)
A. Hanif Halim, Idris Ismail, Swagatam Das
Performance assessment of the metaheuristic optimization algorithms: an exhaustive review. Artif. Intell. Rev. 54 (3) (2021)
Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Q. Xu
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering. NeurIPS (2021)
Sandipan Dhar, Nanda Dulal Jana, Swagatam Das
An Adaptive Learning based Generative Adversarial Network for One-To-One Voice Conversion. CoRR (2021)
Anish Chakrabarty, Swagatam Das
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency. NeurIPS (2021)
Saptarshi Chakraborty, Debolina Paul, Swagatam Das
$t$-Entropy: A New Measure of Uncertainty with Some Applications. ISIT (2021)
Jyotirmoy Sarkar, Santonu Sarkar, Snehanshu Saha, Swagatam Das
d-BTAI: The Dynamic-Binary Tree Based Anomaly Identification Algorithm for Industrial Systems. IEA/AIE (2) (2021)
Saptarshi Chakraborty, Debolina Paul, Swagatam Das
t-Entropy: A New Measure of Uncertainty with Some Applications. CoRR (2021)
Anish Chakrabarty, Swagatam Das
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency. CoRR (2021)
Debolina Paul, Saptarshi Chakraborty, Swagatam Das
Robust Principal Component Analysis: A Median of Means Approach. CoRR (2021)
Abhishek Kumar, Swagatam Das, Rammohan Mallipeddi
An Inversion-Free Robust Power-Flow Algorithm for Microgrids. IEEE Trans. Smart Grid 12 (4) (2021)
Abhishek Kumar, Guohua Wu, Mostafa Z. Ali, Qizhang Luo, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das
A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results. Swarm Evol. Comput. 67 (2021)
Yi Chen, Aimin Zhou, Swagatam Das
Utilizing dependence among variables in evolutionary algorithms for mixed-integer programming: A case study on multi-objective constrained portfolio optimization. Swarm Evol. Comput. 66 (2021)
Saptarshi Chakraborty, Debolina Paul, Swagatam Das, Jason Xu
Entropy Regularized Power k-Means Clustering. CoRR (2020)
Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Xu
Kernel k-Means, By All Means: Algorithms and Strong Consistency. CoRR (2020)
Sankha Subhra Mullick, Shounak Datta, Sourish Gunesh Dhekane, Swagatam Das
Appropriateness of Performance Indices for Imbalanced Data Classification: An Analysis. CoRR (2020)
Lingping Kong, Václav Snásel, Swagatam Das
D-Matrix: A Novel Ranking Procedure for Prioritizing Data Items. IEEE Access 8 (2020)
Shounak Datta, Sayak Nag, Swagatam Das
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning. IEEE Trans. Knowl. Data Eng. 32 (5) (2020)
Ashraf Darwish, Aboul Ella Hassanien, Swagatam Das
A survey of swarm and evolutionary computing approaches for deep learning. Artif. Intell. Rev. 53 (3) (2020)
Saptarshi Chakraborty, Debolina Paul, Swagatam Das, Jason Xu
Entropy Weighted Power k-Means Clustering. AISTATS (2020)
Alenrex Maity, Swagatam Das
Efficient hybrid local search heuristics for solving the travelling thief problem. Appl. Soft Comput. 93 (2020)
Abhishek Kumar, Swagatam Das, Ivan Zelinka
A self-adaptive spherical search algorithm for real-world constrained optimization problems. GECCO Companion (2020)
Abhishek Kumar, Guohua Wu, Mostafa Z. Ali, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das
A test-suite of non-convex constrained optimization problems from the real-world and some baseline results. Swarm Evol. Comput. 56 (2020)
Abhishek Kumar, Swagatam Das, Ivan Zelinka
A modified covariance matrix adaptation evolution strategy for real-world constrained optimization problems. GECCO Companion (2020)
Arka Ghosh, Swagatam Das, Asit Kumar Das, Liang Gao
Reusing the Past Difference Vectors in Differential Evolution - A Simple But Significant Improvement. IEEE Trans. Cybern. 50 (11) (2020)
Arijit Nandi, Nanda Dulal Jana, Swagatam Das
Improving the Performance of Neural Networks with an Ensemble of Activation Functions. IJCNN (2020)
Saptarshi Chakraborty, Debolina Paul, Swagatam Das
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm. CoRR (2020)
Arka Ghosh, Sankha Subhra Mullick, Shounak Datta, Swagatam Das, Rammohan Mallipeddi, Asit Kumar Das
One Sparse Perturbation to Fool them All, almost Always! CoRR (2020)
Sankha Subhra Mullick, Shounak Datta, Sourish Gunesh Dhekane, Swagatam Das
Appropriateness of performance indices for imbalanced data classification: An analysis. Pattern Recognit. 102 (2020)
Sayak Dey, Swagatam Das, Rammohan Mallipeddi
The Sparse MinMax k-Means Algorithm for High-Dimensional Clustering. IJCAI (2020)
Arka Ghosh, Swagatam Das, Asit Kumar Das
A simple two-phase differential evolution for improved global numerical optimization. Soft Comput. 24 (8) (2020)
Abhishek Kumar, Rakesh Kumar Misra, Devender Singh, Sujeet Mishra, Swagatam Das
The spherical search algorithm for bound-constrained global optimization problems. Appl. Soft Comput. 85 (2019)
Abhishek Kumar, Rakesh Kumar Misra, Devender Singh, Swagatam Das
Testing A Multi-Operator based Differential Evolution Algorithm on the 100-Digit Challenge for Single Objective Numerical Optimization. CEC (2019)
Sankha Subhra Mullick, Shounak Datta, Swagatam Das
Generative Adversarial Minority Oversampling. CoRR (2019)
Sankha Subhra Mullick, Shounak Datta, Swagatam Das
Generative Adversarial Minority Oversampling. ICCV (2019)
Shounak Datta, Swagatam Das
Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality. IEEE Trans. Neural Networks Learn. Syst. 30 (5) (2019)
Arkajyoti Saha, Swagatam Das
Stronger Convergence Results for the Center-Based Fuzzy Clustering With Convex Divergence Measure. IEEE Trans. Cybern. 49 (12) (2019)
Quoc Bao Diep, Ivan Zelinka, Swagatam Das
Self-organizing migrating algorithm for the 100-digit challenge. GECCO (Companion) (2019)
Javier Del Ser, Eneko Osaba, Daniel Molina, Xin-She Yang, Sancho Salcedo-Sanz, David Camacho, Swagatam Das, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera
Bio-inspired computation: Where we stand and what's next. Swarm Evol. Comput. 48 (2019)
Ranjan Jana, Siddhartha Bhattacharyya, Swagatam Das
Patient-Specific Seizure Prediction Using the Convolutional Neural Networks. DoSIER (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Swagatam Das