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ORCIDYashesh D. Dhebar
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2020 – today
- 2024
[j4]Yashesh D. Dhebar
, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, Dimitar P. Filev:
Toward Interpretable-AI Policies Using Evolutionary Nonlinear Decision Trees for Discrete-Action Systems. IEEE Trans. Cybern. 54(1): 50-62 (2024)- 2021
- [j3]Yashesh D. Dhebar, Kalyanmoy Deb:
Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems. IEEE Trans. Cybern. 51(11): 5573-5584 (2021) - [j2]Julian Blank, Kalyanmoy Deb, Yashesh D. Dhebar, Sunith Bandaru, Haitham Seada:
Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective Optimization. IEEE Trans. Evol. Comput. 25(1): 48-60 (2021) - [j1]Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification. IEEE Trans. Evol. Comput. 25(2): 277-291 (2021) - [c9]Abhiroop Ghosh, Yashesh D. Dhebar, Ritam Guha, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, H. Eric Tseng, Dimitar P. Filev:
Interpretable AI Agent Through Nonlinear Decision Trees for Lane Change Problem. SSCI 2021: 1-8 - 2020
- [c8]Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract). IJCAI 2020: 4750-4754 - [c7]Yashesh D. Dhebar, Sparsh Gupta, Kalyanmoy Deb:
Evaluating Nonlinear Decision Trees for Binary Classification Tasks with Other Existing Methods. SSCI 2020: 2806-2813 - [i5]Yashesh D. Dhebar, Kalyanmoy Deb:
Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems. CoRR abs/2008.00410 (2020) - [i4]Yashesh D. Dhebar, Sparsh Gupta, Kalyanmoy Deb:
Evaluating Nonlinear Decision Trees for Binary Classification Tasks with Other Existing Methods. CoRR abs/2008.10753 (2020) - [i3]Yashesh D. Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, Dimitar P. Filev:
Interpretable-AI Policies using Evolutionary Nonlinear Decision Trees for Discrete Action Systems. CoRR abs/2009.09521 (2020)
2010 – 2019
- 2019
- [c6]Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf:
NSGA-Net: neural architecture search using multi-objective genetic algorithm. GECCO 2019: 419-427 - [i2]Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks. CoRR abs/1912.01369 (2019) - 2018
- [c5]Yashesh D. Dhebar, Kalyanmoy Deb:
Design of an Adaptive Push-Repel Operator for Enhancing Convergence in Genetic Algorithms. SSCI 2018: 696-703 - [i1]Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf:
NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search. CoRR abs/1810.03522 (2018) - 2017
- [c4]Yashesh D. Dhebar, Kalyanmoy Deb:
Effect of a Push Operator in Genetic Algorithms for Multimodal Optimization. CICBA (1) 2017: 3-21 - [c3]Yashesh D. Dhebar, Kalyanmoy Deb:
A computationally fast multimodal optimization with push enabled genetic algorithm. GECCO (Companion) 2017: 191-192 - 2014
- [c2]Yashesh D. Dhebar, Kalyanmoy Deb, Sunith Bandaru:
Non-uniform mapping in real-coded genetic algorithms. IEEE Congress on Evolutionary Computation 2014: 2237-2244 - 2012
- [c1]Kalyanmoy Deb, Yashesh D. Dhebar, N. V. R. Pavan:
Non-Uniform Mapping in Binary-Coded Genetic Algorithms. BIC-TA (1) 2012: 133-144
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