Hiroki Shiraishi

According to our database, Hiroki Shiraishi authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Variable-Length Fuzzy Set Representation for Learning Fuzzy-Classifier Systems.

Hiroki Shiraishi, Rongguang Ye, Hisao Ishibuchi, Masaya Nakata

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Generating High-Dimensional Prototypes with a Classifier System by Evolving in Latent Space.

Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

A Survey on Learning Classifier Systems from 2022 to 2024.

Abubakar Siddique, Michael Heider, Muhammad Iqbal, Hiroki Shiraishi

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Prototype Generation with the sUpervised Classifier System on kNN Matching.

Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Exploring High-dimensional Rules Indirectly via Latent Space Through a Dimensionality Reduction for XCS.

Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems.

Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

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

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Absumption based on overgenerality and condition-clustering based specialization for XCS with continuous-valued inputs.

Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 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

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 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

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Beta Distribution based XCS Classifier System.

Hiroki Shiraishi, Yohei Havamizu, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

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

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System.

Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2021