| Nsga-net: neural architecture search using multi-objective genetic algorithm Z Lu, I Whalen, V Boddeti, Y Dhebar, K Deb, E Goodman, W Banzhaf Proceedings of the genetic and evolutionary computation conference, 419-427, 2019 | 441 | 2019 |
| Multiobjective evolutionary design of deep convolutional neural networks for image classification Z Lu, I Whalen, Y Dhebar, K Deb, ED Goodman, W Banzhaf, VN Boddeti IEEE Transactions on Evolutionary Computation 25 (2), 277-291, 2020 | 147 | 2020 |
| Nsga-net: A multi-objective genetic algorithm for neural architecture search Z Lu, I Whalen, V Boddeti, Y Dhebar, K Deb, E Goodman, W Banzhaf | 82 | 2018 |
| Generating well-spaced points on a unit simplex for evolutionary many-objective optimization J Blank, K Deb, Y Dhebar, S Bandaru, H Seada IEEE Transactions on Evolutionary Computation 25 (1), 48-60, 2020 | 76 | 2020 |
| Non-uniform mapping in real-coded genetic algorithms D Yashesh, K Deb, S Bandaru 2014 IEEE congress on evolutionary computation (CEC), 2237-2244, 2014 | 34 | 2014 |
| Interpretable rule discovery through bilevel optimization of split-rules of nonlinear decision trees for classification problems Y Dhebar, K Deb IEEE Transactions on Cybernetics 51 (11), 5573-5584, 2020 | 28 | 2020 |
| Interpretable-ai policies using evolutionary nonlinear decision trees for discrete action systems Y Dhebar, K Deb, S Nageshrao, L Zhu, D Filev arXiv preprint arXiv:2009.09521, 2020 | 17 | 2020 |
| Multi-criterion evolutionary design of deep convolutional neural networks Z Lu, I Whalen, Y Dhebar, K Deb, E Goodman, W Banzhaf, VN Boddeti arXiv preprint arXiv:1912.01369 172, 2019 | 14 | 2019 |
| Toward interpretable-AI policies using evolutionary nonlinear decision trees for discrete-action systems Y Dhebar, K Deb, S Nageshrao, L Zhu, D Filev IEEE Transactions on Cybernetics, 2022 | 11 | 2022 |
| Interpretable AI agent through nonlinear decision trees for lane change problem A Ghosh, Y Dhebar, R Guha, K Deb, S Nageshrao, L Zhu, E Tseng, ... 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-08, 2021 | 9 | 2021 |
| A computationally fast multimodal optimization with push enabled genetic algorithm Y Dhebar, K Deb Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 6 | 2017 |
| Non-uniform mapping in binary-coded genetic algorithms K Deb, YD Dhebar, NVR Pavan Proceedings of Seventh International Conference on Bio-Inspired Computing …, 2013 | 5 | 2013 |
| Evaluating Nonlinear Decision Trees for Binary Classification Tasks with Other Existing Methods Y Dhebar, S Gupta, K Deb 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2806-2813, 2020 | 3 | 2020 |
| Effect of a push operator in genetic algorithms for multimodal optimization Y Dhebar, K Deb Computational Intelligence, Communications, and Business Analytics: First …, 2017 | 3 | 2017 |
| Evolutionary Multi-Criterion Optimization: 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings K Deb, E Goodman, CAC Coello, K Klamroth, K Miettinen, S Mostaghim, ... Springer, 2019 | 2 | 2019 |
| Design of an adaptive push-repel operator for enhancing convergence in genetic algorithms Y Dhebar, K Deb 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 696-703, 2018 | 1 | 2018 |
| Interpretable Artificial Intelligence Using Nonlinear Decision Trees YD Dhebar Michigan State University, 2020 | | 2020 |
Kalyanmoy DebKoenig Endowed Chair Professor, Electrical and Computer Engineering, Michigan State UniversityE-mailová adresa ověřena na: egr.msu.edu
