Hiroki Shiraishi

23 papers A* 1A 4B 5Journal 6Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Class Inference Scheme with Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems. ACM Trans. Evol. Learn. Optim. Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata
2026	J	`jnl`	Adapting Rule Representation With Four-Parameter Beta Distribution for Learning Classifier Systems. IEEE Trans. Evol. Comput. Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata
2025	J	`jnl`	A Class Inference Scheme With Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems. CoRR Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata
2025	J	`jnl`	Adapting Rule Representation With Four-Parameter Beta Distribution for Learning Classifier Systems. CoRR Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata
2025	—	`conf`	Evidential Fuzzy Rule-Based Machine Learning to Quantify Classification Uncertainty. GECCO Companion Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata
2025	—	`conf`	Evolutionary Co-Optimization of Rule Shape and Fuzziness in Rule-Based Machine Learning. GECCO Companion Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata
2025	J	`jnl`	Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems. CoRR Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama
2025	—	`conf`	Stochastic Local Mutation for Efficient Membership Function Exploration in Fuzzy Classifiers. FUZZ Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata
2025	A*	`conf`	X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning. IJCAI Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata
2025	J	`jnl`	X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning. CoRR Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata
2024	—	`conf`	A Survey on Learning Classifier Systems from 2022 to 2024. GECCO Companion Abubakar Siddique, Michael Heider, Muhammad Iqbal, Hiroki Shiraishi
2024	—	`conf`	A Variable-Length Fuzzy Set Representation for Learning Fuzzy-Classifier Systems. PPSN (3) Hiroki Shiraishi, Rongguang Ye, Hisao Ishibuchi, Masaya Nakata
2024	—	`conf`	Generating High-Dimensional Prototypes with a Classifier System by Evolving in Latent Space. GECCO Companion Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama
2024	B	`conf`	Prototype Generation with the sUpervised Classifier System on kNN Matching. CEC Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama
2023	A	`conf`	Exploring High-dimensional Rules Indirectly via Latent Space Through a Dimensionality Reduction for XCS. GECCO Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama
2023	A	`conf`	Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems. GECCO Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama
2022	A	`conf`	Absumption based on overgenerality and condition-clustering based specialization for XCS with continuous-valued inputs. GECCO Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama
2022	B	`conf`	Beta Distribution based XCS Classifier System. CEC Hiroki Shiraishi, Yohei Havamizu, Hiroyuki Sato, Keiki Takadama
2022	A	`conf`	Can the same rule representation change its matching area?: enhancing representation in XCS for continuous space by probability distribution in multiple dimension. GECCO Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama
2022	B	`conf`	Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS. EvoApplications Hiroki Shiraishi, Yohei Hayamizu, Iko Nakari, Hiroyuki Sato, Keiki Takadama
2022	B	`conf`	XCSR with VAE using Gaussian Distribution Matching: From Point to Area Matching in Latent Space for Less-overlapped Rule Generation in Observation Space. CEC Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama
2021	B	`conf`	Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System. CEC Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama
2021	—	`conf`	Misclassification detection based on conditional VAE for rule evolution in learning classifier system. GECCO Companion Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama