E-LIB Suche - Ergebnisse für: Guha, Ritam

1

Compromising Pareto-Optimality With Regularity in Platform-..:

Guha, Ritam ; Deb, Kalyanmoy
IEEE Transactions on Evolutionary Computation. , 2024

Link: https://doi.org/10.1109/..

2

MOAZ: A Multi-Objective AutoML-Zero Framework:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,

Guha, Ritam ; Ao, Wei ; Kelly, Stephen... - p. 485-492 , 2023

Link: https://dl.acm.org/doi/1..

3

RegEMO: Sacrificing Pareto-Optimality for Regularity in Mul..:

, In: Lecture Notes in Computer Science; Evolutionary Multi-Criterion Optimization,

Guha, Ritam ; Deb, Kalyanmoy - p. 29-42 , 2023

Link: https://doi.org/10.1007/..

4

Discovering Adaptable Symbolic Algorithms from Scratch:

, In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),

Kelly, Stephen ; Park, Daniel S. ; Song, Xingyou... - p. 3889-3896 , 2023

Link: https://doi.org/10.1109/..

5

Discrete equilibrium optimizer combined with simulated anne..:

Guha, Ritam ; Ghosh, Kushal Kanti ; Bera, Suman Kumar..
Journal of Computational Science. 67 (2023) - p. 101942 , 2023

Link: https://doi.org/10.1016/..

6

Virtual metrology in long batch processes using machine lea..:

Guha, Ritam ; Suresh, Anirudh ; DeFrain, Jared.
Materials and Manufacturing Processes. 38 (2023) 15 - p. 1997-2008 , 2023

Link: https://doi.org/10.1080/..

7

Groundwater Flow Algorithm: A Novel Hydro-Geology Based Opt..:

Guha, Ritam ; Ghosh, Soulib ; Ghosh, Kushal Kanti...
IEEE Access. 10 (2022) - p. 132193-132211 , 2022

Link: https://doi.org/10.1109/..

8

Interpretable AI Agent Through Nonlinear Decision Trees for..:

, In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI),

Ghosh, Abhiroop ; Dhebar, Yashesh ; Guha, Ritam... - p. 01-08 , 2021

Link: https://doi.org/10.1109/..

9

S-shaped versus V-shaped transfer functions for binary Mant..:

Ghosh, Kushal Kanti ; Guha, Ritam ; Bera, Suman Kumar..
Neural Computing and Applications. 33 (2021) 17 - p. 11027-11041 , 2021

Link: https://doi.org/10.1007/..

10

A Hybrid Swarm and Gravitation-based feature selection algo..:

Guha, Ritam ; Ghosh, Manosij ; Singh, Pawan Kumar..
Complex & Intelligent Systems. 7 (2021) 2 - p. 823-839 , 2021

Link: https://doi.org/10.1007/..

11

Py_FS: A Python Package for Feature Selection Using Meta-He..:

, In: Computational Intelligence in Pattern Recognition; Advances in Intelligent Systems and Computing,

Guha, Ritam ; Chatterjee, Bitanu ; Khalid Hassan, S. K.... - p. 495-504 , 2021

Link: https://doi.org/10.1007/..

12

Enhancement of image contrast using Selfish Herd Optimizer:

Guha, Ritam ; Alam, Imran ; Bera, Suman Kumar..
Multimedia Tools and Applications. 81 (2021) 1 - p. 637-657 , 2021

Link: https://doi.org/10.1007/..

13

CGA: a new feature selection model for visual human action ..:

Guha, Ritam ; Khan, Ali Hussain ; Singh, Pawan Kumar..
Neural Computing and Applications. 33 (2020) 10 - p. 5267-5286 , 2020

Link: https://doi.org/10.1007/..

14

Mutually Informed Correlation Coefficient (MICC) - a New Fi..:

, In: 2020 IEEE Calcutta Conference (CALCON),

Guha, Ritam ; Ghosh, Kushal Kanti ; Bhowmik, Showmik. - p. 54-58 , 2020

Link: https://doi.org/10.1109/..

15

Introducing clustering based population in Binary Gravitati..:

Guha, Ritam ; Ghosh, Manosij ; Chakrabarti, Akash..
Applied Soft Computing. 93 (2020) - p. 106341 , 2020

Link: https://doi.org/10.1016/..