Fumito Uwano - RankMe

40 papers A 1B 4C 2Journal 8Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Enhancing XCS with Dual-Stream Identification for Perceptual Aliasing in Multi-Step Decision-Making. GECCO Fumito Uwano, Will N. Browne
2025	—	`conf`	Error Detection of BERT-Based Bibliographic Information Extraction from Reference Strings. IMCOM Shunpei Nakayama, Teruhito Kanazawa, Fumito Uwano, Manabu Ohta
2025	—	`conf`	Support for Reading Comprehension of Scholarly Papers in Japanese Using ChatGPT. IMCOM Rikuto Sakai, Teruhito Kanazawa, Fumito Uwano, Manabu Ohta
2025	—	`conf`	Tourist Route Recommendation Considering Heat Safety. ADMA (4) Lingyu Li, Fumito Uwano, Manabu Ohta
2024	—	`conf`	Automatic Extraction of User-Centric Aspects for Tourist Spot Recommender Systems Using Reviews in Japanese. HCI (8) Fumito Uwano, Ran'u Kobayashi, Manabu Ohta
2024	—	`conf`	Cognitive Learning System for Sequential Aliasing Patterns of States in Multistep Decision-Making. GECCO Companion Fumito Uwano, Will Neil Browne
2024	J	`jnl`	Inverse Reinforcement Learning with Agents' Biased Exploration Based on Sub-Optimal Sequential Action Data. J. Adv. Comput. Intell. Intell. Informatics Fumito Uwano, Satoshi Hasegawa, Keiki Takadama
2024	—	`conf`	LLM-Based Interoperable IoT Service Platform. WI/IAT Ryutaro Yokotsuji, Donghui Lin, Fumito Uwano
2024	J	`jnl`	Learning Agents in Robot Navigation: Trends and Next Challenges. J. Robotics Mechatronics Fumito Uwano
2024	—	`conf`	Natural Language-Based Reinforcement Learning for Acquiring Commonsense Knowledge from Partial Scenarios. ICAART (Revised Selected Paper, 2) Fumito Uwano, Ryota Kubo, Manabu Ohta
2024	—	`conf`	Reward Design for Deep Reinforcement Learning Towards Imparting Commonsense Knowledge in Text-Based Scenario. ICAART (3) Ryota Kubo, Fumito Uwano, Manabu Ohta
2024	B	`conf`	Safe Multi-agent Reinforcement Learning for Drone Routing Problems. PRIMA Masahiro Kaji, Donghui Lin, Fumito Uwano
2023	—	`conf`	An End-to-End Table Structure Analysis Method Using Graph Attention Networks. ICADL (2) Manabu Ohta, Hiroyuki Aoyagi, Fumito Uwano, Teruhito Kanazawa, Atsuhiro Takasu
2023	—	`conf`	Hierarchical Frames-of-References in Learning Classifier Systems. GECCO Companion Fumito Uwano, Will N. Browne
2023	—	`conf`	Implicit Cooperative Learning on Distribution of Received Reward in Multi-Agent System. ICAART (1) Fumito Uwano
2023	—	`conf`	Reinforcement Learning in Cyclic Environmental Changes for Agents in Non-Communicative Environments: A Theoretical Approach. EXTRAAMAS Fumito Uwano, Keiki Takadama
2022	—	`conf`	Design of Human-Agent-Group Interaction for Correct Opinion Sharing on Social Media. HCI (4) Fumito Uwano, Daiki Yamane, Keiki Takadama
2022	—	`conf`	LSTM-based Abstraction of Hetero Observation and Transition in Non-Communicative Multi-Agent Reinforcement Learning. ICAART (1) Fumito Uwano
2022	C	`conf`	Table-structure Recognition Method Consisting of Plural Neural Network Modules. ICPRAM Hiroyuki Aoyagi, Teruhito Kanazawa, Atsuhiro Takasu, Fumito Uwano, Manabu Ohta
2021	—	`conf`	A Cooperative Learning Method for Multi-Agent System with Different Input Resolutions. ISAMSR Fumito Uwano
2021	J	`jnl`	Directionality Reinforcement Learning to Operate Multi-Agent System without Communication. CoRR Fumito Uwano, Keiki Takadama
2020	—	`conf`	How to Emote for Consensus Building in Virtual Communication. HCI (5) Yoshimiki Maekawa, Fumito Uwano, Eiki Kitajima, Keiki Takadama
2020	J	`jnl`	Reward Value-Based Goal Selection for Agents' Cooperative Route Learning Without Communication in Reward and Goal Dynamism. SN Comput. Sci. Fumito Uwano, Keiki Takadama
2019	—	`conf`	How to Design Adaptable Agents to Obtain a Consensus with Omoiyari. HCI (4) Yoshimiki Maekawa, Fumito Uwano, Eiki Kitajima, Keiki Takadama
2019	B	`conf`	Niche Radius Adaptation in Bat Algorithm for Locating Multiple Optima in Multimodal Functions. CEC Takuya Iwase, Ryo Takano, Fumito Uwano, Hiroyuki Sato, Keiki Takadama
2018	—	`conf`	Correcting Wrongly Determined Opinions of Agents in Opinion Sharing Model. HCI (4) Eiki Kitajima, Caili Zhang, Haruyuki Ishii, Fumito Uwano, Keiki Takadama
2018	—	`conf`	Ensemble Heart Rate Extraction Method for Biological Data from Water Pressure Sensor. AAAI Spring Symposia Fumito Uwano, Keiki Takadama
2018	—	`conf`	Generalizing rules by random forest-based learning classifier systems for high-dimensional data mining. GECCO (Companion) Fumito Uwano, Koji Dobashi, Keiki Takadama, Tim Kovacs
2018	—	`conf`	Improving Sleep Stage Estimation Accuracy by Circadian Rhythm Extracted from a Low Frequency Component of Heart Rate. AAAI Spring Symposia Akari Tobaru, Fumito Uwano, Takuya Iwase, Kazuma Matsumoto, Ryo Takano, Yusuke Tajima, Yuta Umenai, Keiki Takadama
2018	—	`conf`	Multiple swarm intelligence methods based on multiple population with sharing best solution for drastic environmental change. GECCO (Companion) Yuta Umenai, Fumito Uwano, Hiroyuki Sato, Keiki Takadama
2018	B	`conf`	Strategy for Learning Cooperative Behavior with Local Information for Multi-agent Systems. PRIMA Fumito Uwano, Keiki Takadama
2017	J	`jnl`	Comparison Between Reinforcement Learning Methods with Different Goal Selections in Multi-Agent Cooperation. J. Adv. Comput. Intell. Intell. Informatics Fumito Uwano, Keiki Takadama
2017	J	`jnl`	Recovery System Based on Exploration-Biased Genetic Algorithm for Stuck Rover in Planetary Exploration. J. Robotics Mechatronics Fumito Uwano, Yusuke Tajima, Akinori Murata, Keiki Takadama
2017	—	`conf`	Strategies to Improve Cuckoo Search Toward Adapting Randomly Changing Environment. ICSI (1) Yuta Umenai, Fumito Uwano, Hiroyuki Sato, Keiki Takadama
2017	J	`jnl`	Supporting the Exploration of the Learning Goals for a Continuous Learner Toward Creative Learning. J. Adv. Comput. Intell. Intell. Informatics Takato Okudo, Tomohiro Yamaguchi, Akinori Murata, Takato Tatsumi, Fumito Uwano, Keiki Takadama
2016	B	`conf`	A modified cuckoo search algorithm for dynamic optimization problems. CEC Yuta Umenai, Fumito Uwano, Yusuke Tajima, Masaya Nakata, Hiroyuki Sato, Keiki Takadama
2016	C	`conf`	Proceedings in Adaptation, Learning and Optimization. IES Fumito Uwano, Keiki Takadama
2016	—	`conf`	Real-Time Sleep Stage Estimation from Biological Data with Trigonometric Function Regression Model. AAAI Spring Symposia Tomohiro Harada, Fumito Uwano, Takahiro Komine, Yusuke Tajima, Takahiro Kawashima, Morito Morishima, Keiki Takadama
2016	J	`jnl`	Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach. EAI Endorsed Trans. Collab. Comput. Fumito Uwano, Naoki Tatebe, Masaya Nakata, Keiki Takadama, Tim Kovacs
2015	—	`conf`	Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach. BICT Fumito Uwano, Naoki Tatebe, Masaya Nakata, Keiki Takadama, Tim Kovacs