Ken Kobayashi
Orcid: 0000-0002-6609-7488
According to our database1,
Ken Kobayashi
authored at least 29 papers
between 1999 and 2024.
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Bibliography
2024
Distribution-Aligned Sequential Counterfactual Explanation with Local Outlier Factor.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Zero-Inflated Poisson Tensor Factorization for Sparse Purchase Data in E-Commerce Markets.
Proceedings of the Industrial Engineering and Applications - Europe, 2024
2023
Eur. J. Oper. Res., 2023
SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation.
CoRR, 2023
Decision Tree Clustering for Time Series Data: An Approach for Enhanced Interpretability and Efficiency.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023
2022
Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optimization.
CoRR, 2022
A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Bilevel cutting-plane algorithm for cardinality-constrained mean-CVaR portfolio optimization.
J. Glob. Optim., 2021
Soft-Material-Based Highly Reliable Tri-Axis Tactile Thin-Film Sensors for Robotic Manipulation Tasks.
Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021
A Case Study of In-House Competition for Ranking Constructive Comments in a News Service.
Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Prediction of hierarchical time series using structured regularization and its application to artificial neural networks.
CoRR, 2020
A branch-and-cut algorithm for solving mixed-integer semidefinite optimization problems.
Comput. Optim. Appl., 2020
DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Mixed integer quadratic optimization formulations for eliminating multicollinearity based on variance inflation factor.
J. Glob. Optim., 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Bézier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-Objective Optimization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2008
2005
IEICE Trans. Electron., 2005
1999