Ensemble feature selection using bi-objective genetic algorithm AK Das, S Das, A Ghosh Knowledge-Based Systems 123, 116-127, 2017 | 171 | 2017 |
A Switched Parameter Differential Evolution with Optional Blending Crossover for Scalable Numerical Optimization Arka Ghosh, Swagatam Das, Sankha Subhra Mullick, Rammohan Mallipeddi, and ... Applied Soft Computing, 2017 | 45 | 2017 |
Reusing the Past Difference Vectors in Differential Evolution--A Simple But Significant Improvement A Ghosh, S Das, AK Das, L Gao IEEE Transactions on Cybernetics, 1 - 14, 2019 | 41 | 2019 |
A modified differential evolution with distance-based selection for continuous optimization in presence of noise A Ghosh, S Das, R Mallipeddi, AK Das, SS Dash IEEE Access 5, 26944-26964, 2017 | 37 | 2017 |
A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers A Ghosh, SS Mullick, S Datta, S Das, AK Das, R Mallipeddi Pattern Recognition 122, 108279, 2022 | 33 | 2022 |
Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution A Ghosh, S Das, AK Das, R Senkerik, A Viktorin, I Zelinka, AD Masegosa Swarm and Evolutionary Computation 71, 101057, 2022 | 26 | 2022 |
Gene selection using multi-objective genetic algorithm integrating cellular automata and rough set theory SK Pati, AK Das, A Ghosh Swarm, Evolutionary, and Memetic Computing: 4th International Conference …, 2013 | 26 | 2013 |
A Switched Parameter Differential Evolution for Large Scale Global Optimization – Simpler May Be Better S Das, A Ghosh, SS Mullick Mendel 2015 378, pp 103-125, 2015 | 25 | 2015 |
Hybrid Optimized Back propagation Learning Algorithm for Multi-layer Perceptron A Ghosh, M Chakraborty International Journal of Computer Applications 60 (13), 2012 | 25* | 2012 |
Comparative study of Financial Time Series Prediction by Artificial Neural Network with Gradient Descent Learning A Ghosh Arxiv preprint arXiv:1111.4930, 2011 | 15 | 2011 |
Relevant feature selection andensemble classifier design using bi‑objective genetic algorithm AK Das, K Pati, A Ghosh Knowledge and Information Systems, 1-33, 2019 | 14 | 2019 |
A noise resilient differential evolution with improved parameter and strategy control A Ghosh, S Das, BK Panigrahi, AK Das 2017 IEEE congress on evolutionary computation (CEC), 2590-2597, 2017 | 13 | 2017 |
A simple two-phase differential evolution for improved global numerical optimization A Ghosh, S Das, AK Das Soft Computing 24, 6151-6167, 2020 | 10 | 2020 |
Binary differential evolution based feature selection method with mutual information for imbalanced classification problems A Ghosh, B Xue, M Zhang 2021 IEEE Congress on Evolutionary Computation (CEC), 794-801, 2021 | 7 | 2021 |
Feature Selection Based on Bi-objective Differential Evolution AG Sunanda Das, Chi-Chang Chang, Asit Kumar Das Journal of Computing Science & Engineering 11 (4), 130-141, 2017 | 6 | 2017 |
Microstructural and mechanical properties analysis of plasma ARC welded 316L austenitic stainless steel joints without addition of filler material A Ghosh, TK Bhattachraya, NV Deshpande, S Basak Int. J. Trend Sci. Res. Dev 3 (3), 849-865, 2019 | 5 | 2019 |
A switched parameter differential evolution with multi-donor mutation and annealing based local search for optimization of lennard-jones atomic clusters A Ghosh, R Mallipeddi, S Das, AK Das 2018 IEEE congress on evolutionary computation (CEC), 1-8, 2018 | 5 | 2018 |
Optimizing Road Traffic Surveillance: A Robust Hyper-Heuristic Approach for Vehicle Segmentation E RodríGuez-Esparza, O Ramos-Soto, AD Masegosa, E Onieva, D Oliva, ... IEEE Access 12, 29503-29524, 2024 | 1 | 2024 |
A Taxonomy of Signal Vehicle Coupled Control from a Mathematical Programming Perspective A Ghosh, JS Angarita-Zapata, AD Masegosa, AA Laresgoiti 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 1 | 2023 |
One sparse perturbation to fool them all almost always A Ghosh, SS Mullick, S Dutta, S Das, R Mallipeddi, AK Das arXiv preprint, 2020 | 1 | 2020 |