XCSR based on compressed input by deep neural network for high dimensional data K Matsumoto, R Takano, T Tatsumi, H Sato, T Kovacs, K Takadama Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 6 | 2018 |

Variance-based learning classifier system without convergence of reward estimation T Tatsumi, T Komine, M Nakata, H Sato, T Kovacs, K Takadama Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016 | 6 | 2016 |

Handling different level of unstable reward environment through an estimation of reward distribution in XCS T Tatsumi, T Komine, H Sato, K Takadama 2015 IEEE Congress on Evolutionary Computation (CEC), 2973-2980, 2015 | 6 | 2015 |

XCSR learning from compressed data acquired by deep neural network K Matsumoto, T Tatsumi, H Sato, T Kovacs, K Takadama Journal of advanced computational intelligence and intelligent informatics …, 2017 | 5 | 2017 |

A learning classifier system that adapts accuracy criterion T Tatsumi, T Komine, M Nakata, H Sato, K Takadama Transaction of the Japanese Society for Evolutionary Computation 6 (2), 90-103, 2015 | 5 | 2015 |

Knowledge Extraction from XCSR Based on Dimensionality Reduction and Deep Generative Models M Tadokoro, S Hasegawa, T Tatsumi, H Sato, K Takadama 2019 IEEE Congress on Evolutionary Computation (CEC), 1883-1890, 2019 | 3 | 2019 |

XCS-CR: determining accuracy of classifier by its collective reward in action set toward environment with action noise T Tatsumi, T Kovacs, K Takadama Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 3 | 2018 |

Automatic adjustment of selection pressure based on range of reward in learning classifier system T Tatsumi, H Sato, K Takadama Proceedings of the Genetic and Evolutionary Computation Conference, 505-512, 2017 | 3 | 2017 |

XCS-CR for handling input, output, and reward noise T Tatsumi, K Takadama Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 2 | 2019 |

SLIM Spacecraft Location Estimation by Crater Matching Based on Similar Triangles and Its Improvement H Ishii, A Murata, F Uwano, T Tatsumi, Y Umenai, K Takadama, T Harada, ... AeTJa 17, 69-78, 2018 | 2 | 2018 |

Learning Classifier System Based on Mean of Reward T Tatsumi, H Sato, K Takadama Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2017 | 2 | 2017 |

Applying variance-based learning classifier system without convergence of reward estimation into various reward distribution T Tatsumi, H Sato, T Kovacs, K Takadama 2017 IEEE Congress on Evolutionary Computation (CEC), 2630-2637, 2017 | 2 | 2017 |

Comparison of Statistical Table-and Non-Statistical Table-based XCS in Noisy Environments T Tatsumi, K Takadama 2019 IEEE Congress on Evolutionary Computation (CEC), 1875-1882, 2019 | 1 | 2019 |

Acquiring Classifiers for Bipolarized Reward by XCS in a Continuous Reward Environment T Tatsumi, K Takadama SICE Journal of Control, Measurement, and System Integration 12 (3), 124-132, 2019 | 1 | 2019 |

Study of Analytical Methods on the Relationship between Sleep Quality and Stress with a focus on Human Circadian Rhythm R Takano, S Hasegawa, Y Umenai, T Tatsumi, K Takadama, T Shimuta, ... 2018 AAAI Spring Symposium Series, 2018 | 1 | 2018 |

Approach to Clustering with Variance-Based XCS C Zhang, T Tatsumi, M Nakata, K Takadama Journal of advanced computational intelligence and intelligent informatics …, 2017 | 1 | 2017 |

The robust spacecraft locaiton estimation algorithm toward the misdetection crater and the undetected crater in SLIM H Ishii, K TAKADAMA, A MURATA, F UWANO, T TATSUMI, Y UMENAI, ... ISTS, 2017 | 1 | 2017 |

Local Covering: Adaptive Rule Generation Method Using Existing Rules for XCS M Tadokoro, S Hasegawa, T Tatsumi, H Sato, K Takadama 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | | 2020 |

サイス ジェイシムシ T TATSUMI, K TAKADAMA サイス ジェイシムシ 12 (3), 124-132, 2019 | | 2019 |

XCS for Missing Attributes in Data T Tatsumi, K Takadama 2018 Joint 10th International Conference on Soft Computing and Intelligent …, 2018 | | 2018 |