Satoshi Hara
Satoshi Hara
Assistant Professor, Osaka University
Verified email at ar.sanken.osaka-u.ac.jp
Title
Cited by
Cited by
Year
Making Tree Ensembles Interpretable
S Hara, K Hayashi
2016 Workshop on Human Interpretability in Machine Learning, 81-85, 2016
592016
Making tree ensembles interpretable: A Bayesian model selection approach
S Hara, K Hayashi
Proceedings of the 21th International Conference on Artificial Intelligence …, 2016
402016
Separation of stationary and non-stationary sources with a generalized eigenvalue problem
S Hara, Y Kawahara, T Washio, P Von BüNau, T Tokunaga, K Yumoto
Neural networks 33, 7-20, 2012
372012
Learning a common substructure of multiple graphical Gaussian models
S Hara, T Washio
Neural Networks 38, 23-38, 2012
322012
Enumerate lasso solutions for feature selection
S Hara, T Maehara
Thirty-First AAAI Conference on Artificial Intelligence, 2017
292017
Stationary subspace analysis as a generalized eigenvalue problem
S Hara, Y Kawahara, T Washio, P Von Bünau
International Conference on Neural Information Processing, 422-429, 2010
212010
Fairwashing: the risk of rationalization
U Aïvodji, H Arai, O Fortineau, S Gambs, S Hara, A Tapp
Proceedings of the 36th International Conference on Machine Learning (ICML …, 0
21*
Anomaly Detection in Reconstructed Quantum States Using a Machine-Learning Technique
Satoshi Hara, Takafumi Ono, Ryo Okamoto, Takashi Washio, Shigeki Takeuchi
Physical Review A 89 (2), 022104, 2014
112014
Common substructure learning of multiple graphical gaussian models
S Hara, T Washio
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
112011
A Consistent Method for Graph Based Anomaly Localization
Satoshi Hara, Tetsuro Morimura, Toshihiro Takahashi, Hiroki Yanagisawa ...
Proceedings of the Eighteenth International Conference on Artificial …, 2015
9*2015
Data Cleansing for Models Trained with SGD
S Hara, A Nitanda, T Maehara
Advances in Neural Information Processing Systems 32 (NeurIPS'19), 2019
82019
Approximate and Exact Enumeration of Rule Models.
S Hara, M Ishihata
AAAI, 3157-3164, 2018
72018
Direct density ratio estimation with dimensionality reduction
M Sugiyama, S Hara, P Von Bünau, T Suzuki, T Kanamori, M Kawanabe
Proceedings of the 2010 SIAM International Conference on Data Mining, 595-606, 2010
72010
Quantile regression approach to conditional mode estimation
H Ota, K Kato, S Hara
Electronic Journal of Statistics 13 (2), 3120-3160, 2019
62019
Consistent and Efficient Nonparametric Different-Feature Selection
ST Satoshi Hara, Takayuki Katsuki, Hiroki Yanagisawa, Takafumi Ono, Ryo Okamoto
Proceedings of the 20th International Conference on Artificial Intelligence …, 2017
6*2017
Maximally invariant data perturbation as explanation
S Hara, K Ikeno, T Soma, T Maehara
arXiv preprint arXiv:1806.07004, 2018
52018
Maximizing invariant data perturbation with stochastic optimization
K Ikeno, S Hara
arXiv preprint arXiv:1807.05077, 2018
42018
Discounted average degree density metric and new algorithms for the densest subgraph problem
H Yanagisawa, S Hara
Networks 71 (1), 3-15, 2018
42018
Quantum-state anomaly detection for arbitrary errors using a machine-learning technique
S Hara, T Ono, R Okamoto, T Washio, S Takeuchi
Physical Review A 94 (4), 042341, 2016
42016
Predicting Halfway through Simulation: Early Scenario Evaluation Using Intermediate Features of Agent-Based Simulations
Satoshi Hara, Rudy Raymond, Tetsuro Morimura, Hidemasa Muta
Proceedings of the 2014 Winter Simulation Conference, 334-343, 2014
42014
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Articles 1–20