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2020 – today
- 2024
[i3]Shuyu Dong, Michèle Sebag, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi:
DCDILP: a distributed learning method for large-scale causal structure learning. CoRR abs/2406.10481 (2024)- 2023
- [c7]Shuang Chang, Takashi Kato, Yusuke Koyanagi, Kento Uemura, Koji Maruhashi:
An Iterative Analysis Method Using Causal Discovery Algorithms to Enhance ABM as a Policy Tool. WSC 2023: 138-149 - 2022
- [c6]Kento Uemura, Takuya Takagi, Kambayashi Takayuki, Hiroyuki Yoshida, Shohei Shimizu:
A Multivariate Causal Discovery based on Post-Nonlinear Model. CLeaR 2022: 826-839 - [c5]Shuang Chang
, Tatsuya Asai, Yusuke Koyanagi, Kento Uemura, Koji Maruhashi, Kotaro Ohori:
Incorporating AI Methods in Micro-dynamic Analysis to Support Group-Specific Policy-Making. PRIMA 2022: 122-138 - [i2]Shuyu Dong, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi, Michèle Sebag:
High-Dimensional Causal Discovery: Learning from Inverse Covariance via Independence-based Decomposition. CoRR abs/2211.14221 (2022) - 2021
- [c4]Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura:
Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization. AAAI 2021: 11564-11574 - 2020
- [c3]Kento Uemura, Shohei Shimizu:
Estimation of Post-Nonlinear Causal Models Using Autoencoding Structure. ICASSP 2020: 3312-3316 - [i1]Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura:
Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization. CoRR abs/2012.11782 (2020)
2010 – 2019
- 2016
- [j1]Kento Uemura, Isao Ono:
AEGA: A New Real-Coded Genetic AlgorithmTaking Account of Extrapolation. J. Adv. Comput. Intell. Intell. Informatics 20(3): 429-437 (2016) - 2013
- [c2]Kento Uemura, Naotoshi Nakashima, Yuichi Nagata, Isao Ono:
A new real-coded genetic algorithm for implicit constrained black-box function optimization. IEEE Congress on Evolutionary Computation 2013: 2887-2894 - 2011
- [c1]Kento Uemura, Shun-ichi Kinoshita, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
A new framework taking account of multi-funnel functions for Real-coded Genetic Algorithms. IEEE Congress on Evolutionary Computation 2011: 2091-2098
Coauthor Index
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