Real-Time Sleep Stage Estimation from Biological Data with Trigonometric Function Regression Model. - Tomohiro Harada; Fumito Uwano; Takahiro Komine; Yusuke Tajima; Takahiro Kawashima; Morito Morishima; Keiki Takadama (AAAI Spring Symposia, 2016)

A modified cuckoo search algorithm for dynamic optimization problems. - Yuta Umenai; Fumito Uwano; Yusuke Tajima; Masaya Nakata; Hiroyuki Sato; Keiki Takadama (CEC, 2016)

Proceedings in Adaptation, Learning and Optimization. - Fumito Uwano; Keiki Takadama (IES, 2016)

Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach. - Fumito Uwano; Naoki Tatebe; Masaya Nakata; Keiki Takadama; Tim Kovacs (EAI Endorsed Trans. Collab. Comput., 2016)

Strategies to Improve Cuckoo Search Toward Adapting Randomly Changing Environment. - Yuta Umenai; Fumito Uwano; Hiroyuki Sato; Keiki Takadama (ICSI (1), 2017)

Supporting the Exploration of the Learning Goals for a Continuous Learner Toward Creative Learning. - Takato Okudo; Tomohiro Yamaguchi 002; Akinori Murata; Takato Tatsumi; Fumito Uwano; Keiki Takadama (J. Adv. Comput. Intell. Intell. Informatics, 2017)

Comparison Between Reinforcement Learning Methods with Different Goal Selections in Multi-Agent Cooperation. - Fumito Uwano; Keiki Takadama (J. Adv. Comput. Intell. Intell. Informatics, 2017)

Recovery System Based on Exploration-Biased Genetic Algorithm for Stuck Rover in Planetary Exploration. - Fumito Uwano; Yusuke Tajima; Akinori Murata; Keiki Takadama (J. Robotics Mechatronics, 2017)

Improving Sleep Stage Estimation Accuracy by Circadian Rhythm Extracted from a Low Frequency Component of Heart Rate. - Akari Tobaru; Fumito Uwano; Takuya Iwase; Kazuma Matsumoto; Ryo Takano; Yusuke Tajima; Yuta Umenai; Keiki Takadama (AAAI Spring Symposia, 2018)

Ensemble Heart Rate Extraction Method for Biological Data from Water Pressure Sensor. - Fumito Uwano; Keiki Takadama (AAAI Spring Symposia, 2018)

Multiple swarm intelligence methods based on multiple population with sharing best solution for drastic environmental change. - Yuta Umenai; Fumito Uwano; Hiroyuki Sato; Keiki Takadama (GECCO (Companion), 2018)

Generalizing rules by random forest-based learning classifier systems for high-dimensional data mining. - Fumito Uwano; Koji Dobashi; Keiki Takadama; Tim Kovacs (GECCO (Companion), 2018)

Correcting Wrongly Determined Opinions of Agents in Opinion Sharing Model. - Eiki Kitajima; Caili Zhang; Haruyuki Ishii; Fumito Uwano; Keiki Takadama (HCI (4), 2018)

Strategy for Learning Cooperative Behavior with Local Information for Multi-agent Systems. - Fumito Uwano; Keiki Takadama (PRIMA, 2018)

Niche Radius Adaptation in Bat Algorithm for Locating Multiple Optima in Multimodal Functions. - Takuya Iwase; Ryo Takano; Fumito Uwano; Hiroyuki Sato; Keiki Takadama (CEC, 2019)

How to Design Adaptable Agents to Obtain a Consensus with Omoiyari. - Yoshimiki Maekawa; Fumito Uwano; Eiki Kitajima; Keiki Takadama (HCI (4), 2019)

How to Emote for Consensus Building in Virtual Communication. - Yoshimiki Maekawa; Fumito Uwano; Eiki Kitajima; Keiki Takadama (HCI (5), 2020)

Reward Value-Based Goal Selection for Agents' Cooperative Route Learning Without Communication in Reward and Goal Dynamism. - Fumito Uwano; Keiki Takadama (SN Comput. Sci., 2020)

A Cooperative Learning Method for Multi-Agent System with Different Input Resolutions. - Fumito Uwano (ISAMSR, 2021)

Directionality Reinforcement Learning to Operate Multi-Agent System without Communication. - Fumito Uwano; Keiki Takadama (CoRR, 2021)

Design of Human-Agent-Group Interaction for Correct Opinion Sharing on Social Media. - Fumito Uwano; Daiki Yamane; Keiki Takadama (HCI (4), 2022)

LSTM-based Abstraction of Hetero Observation and Transition in Non-Communicative Multi-Agent Reinforcement Learning. - Fumito Uwano (ICAART (1), 2022)

Table-structure Recognition Method Consisting of Plural Neural Network Modules. - Hiroyuki Aoyagi; Teruhito Kanazawa; Atsuhiro Takasu; Fumito Uwano; Manabu Ohta (ICPRAM, 2022)

Reinforcement Learning in Cyclic Environmental Changes for Agents in Non-Communicative Environments: A Theoretical Approach. - Fumito Uwano; Keiki Takadama (EXTRAAMAS, 2023)

Hierarchical Frames-of-References in Learning Classifier Systems. - Fumito Uwano; Will N. Browne (GECCO Companion, 2023)

Implicit Cooperative Learning on Distribution of Received Reward in Multi-Agent System. - Fumito Uwano (ICAART (1), 2023)

An End-to-End Table Structure Analysis Method Using Graph Attention Networks. - Manabu Ohta; Hiroyuki Aoyagi; Fumito Uwano; Teruhito Kanazawa; Atsuhiro Takasu (ICADL (2), 2023)

Cognitive Learning System for Sequential Aliasing Patterns of States in Multistep Decision-Making. - Fumito Uwano; Will Neil Browne (GECCO Companion, 2024)

Automatic Extraction of User-Centric Aspects for Tourist Spot Recommender Systems Using Reviews in Japanese. - Fumito Uwano; Ran'u Kobayashi; Manabu Ohta (HCI (8), 2024)

Reward Design for Deep Reinforcement Learning Towards Imparting Commonsense Knowledge in Text-Based Scenario. - Ryota Kubo; Fumito Uwano; Manabu Ohta (ICAART (3), 2024)

Natural Language-Based Reinforcement Learning for Acquiring Commonsense Knowledge from Partial Scenarios. - Fumito Uwano; Ryota Kubo; Manabu Ohta (ICAART (Revised Selected Paper, 2), 2024)

Safe Multi-agent Reinforcement Learning for Drone Routing Problems. - Masahiro Kaji; Donghui Lin; Fumito Uwano (PRIMA, 2024)

LLM-Based Interoperable IoT Service Platform. - Ryutaro Yokotsuji; Donghui Lin; Fumito Uwano (WI/IAT, 2024)

Learning Agents in Robot Navigation: Trends and Next Challenges. - Fumito Uwano (J. Robotics Mechatronics, 2024)

Inverse Reinforcement Learning with Agents' Biased Exploration Based on Sub-Optimal Sequential Action Data. - Fumito Uwano; Satoshi Hasegawa; Keiki Takadama (J. Adv. Comput. Intell. Intell. Informatics, 2024)

Enhancing XCS with Dual-Stream Identification for Perceptual Aliasing in Multi-Step Decision-Making. - Fumito Uwano; Will N. Browne (GECCO, 2025)

Error Detection of BERT-Based Bibliographic Information Extraction from Reference Strings. - Shunpei Nakayama; Teruhito Kanazawa; Fumito Uwano; Manabu Ohta (IMCOM, 2025)

Support for Reading Comprehension of Scholarly Papers in Japanese Using ChatGPT. - Rikuto Sakai; Teruhito Kanazawa; Fumito Uwano; Manabu Ohta (IMCOM, 2025)