Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System. - Hiroki Shiraishi; Masakazu Tadokoro; Yohei Hayamizu; Yukiko Fukumoto; Hiroyuki Sato; Keiki Takadama (CEC, 2021)

Misclassification detection based on conditional VAE for rule evolution in learning classifier system. - Hiroki Shiraishi; Masakazu Tadokoro; Yohei Hayamizu; Yukiko Fukumoto; Hiroyuki Sato; Keiki Takadama (GECCO Companion, 2021)

Beta Distribution based XCS Classifier System. - Hiroki Shiraishi; Yohei Havamizu; Hiroyuki Sato; Keiki Takadama (CEC, 2022)

XCSR with VAE using Gaussian Distribution Matching: From Point to Area Matching in Latent Space for Less-overlapped Rule Generation in Observation Space. - Naoya Yatsu; Hiroki Shiraishi; Hiroyuki Sato; Keiki Takadama (CEC, 2022)

Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS. - Hiroki Shiraishi; Yohei Hayamizu; Iko Nakari; Hiroyuki Sato; Keiki Takadama (EvoApplications, 2022)

Absumption based on overgenerality and condition-clustering based specialization for XCS with continuous-valued inputs. - Hiroki Shiraishi; Yohei Hayamizu; Hiroyuki Sato; Keiki Takadama (GECCO, 2022)

Can the same rule representation change its matching area?: enhancing representation in XCS for continuous space by probability distribution in multiple dimension. - Hiroki Shiraishi; Yohei Hayamizu; Hiroyuki Sato; Keiki Takadama (GECCO, 2022)

Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems. - Hiroki Shiraishi; Yohei Hayamizu; Tomonori Hashiyama (GECCO, 2023)

Exploring High-dimensional Rules Indirectly via Latent Space Through a Dimensionality Reduction for XCS. - Naoya Yatsu; Hiroki Shiraishi; Hiroyuki Sato; Keiki Takadama (GECCO, 2023)

Prototype Generation with the sUpervised Classifier System on kNN Matching. - Naoya Yatsu; Hiroki Shiraishi; Hiroyuki Sato; Keiki Takadama (CEC, 2024)

A Survey on Learning Classifier Systems from 2022 to 2024. - Abubakar Siddique; Michael Heider; Muhammad Iqbal 001; Hiroki Shiraishi (GECCO Companion, 2024)

Generating High-Dimensional Prototypes with a Classifier System by Evolving in Latent Space. - Naoya Yatsu; Hiroki Shiraishi; Hiroyuki Sato; Keiki Takadama (GECCO Companion, 2024)

A Variable-Length Fuzzy Set Representation for Learning Fuzzy-Classifier Systems. - Hiroki Shiraishi; Rongguang Ye; Hisao Ishibuchi; Masaya Nakata (PPSN (3), 2024)

X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning. - Hiroki Shiraishi; Hisao Ishibuchi; Masaya Nakata (CoRR, 2025)

A Class Inference Scheme With Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems. - Hiroki Shiraishi; Hisao Ishibuchi; Masaya Nakata (CoRR, 2025)

Adapting Rule Representation With Four-Parameter Beta Distribution for Learning Classifier Systems. - Hiroki Shiraishi; Yohei Hayamizu; Tomonori Hashiyama; Keiki Takadama; Hisao Ishibuchi; Masaya Nakata (CoRR, 2025)