| 2026 | GECCO | Recent Advances in Evolutionary Rule-Based Machine Learning (2024 to 2026). | Connor Schnberner, Hiroki Shiraishi, Fumito Uwano, Michael Heider |
| 2026 | LREC | Designing LLM Agents for User-Centered Language Service Selection. | Ryoichiro Ogawa, Donghui Lin, Fumito Uwano |
| 2025 | ADMA | Tourist Route Recommendation Considering Heat Safety. | Lingyu Li, Fumito Uwano, Manabu Ohta |
| 2025 | GECCO | Enhancing XCS with Dual-Stream Identification for Perceptual Aliasing in Multi-Step Decision-Making. | Fumito Uwano, Will N. Browne |
| 2024 | GECCO | Cognitive Learning System for Sequential Aliasing Patterns of States in Multistep Decision-Making. | Fumito Uwano, Will Neil Browne |
| 2024 | HCI | Automatic Extraction of User-Centric Aspects for Tourist Spot Recommender Systems Using Reviews in Japanese. | Fumito Uwano, Ran'u Kobayashi, Manabu Ohta |
| 2024 | ICAART | Reward Design for Deep Reinforcement Learning Towards Imparting Commonsense Knowledge in Text-Based Scenario. | Ryota Kubo, Fumito Uwano, Manabu Ohta |
| 2024 | ICAART | Natural Language-Based Reinforcement Learning for Acquiring Commonsense Knowledge from Partial Scenarios. | Fumito Uwano, Ryota Kubo, Manabu Ohta |
| 2024 | PRIMA | Safe Multi-agent Reinforcement Learning for Drone Routing Problems. | Masahiro Kaji, Donghui Lin, Fumito Uwano |
| 2023 | GECCO | Hierarchical Frames-of-References in Learning Classifier Systems. | Fumito Uwano, Will N. Browne |
| 2023 | ICAART | Implicit Cooperative Learning on Distribution of Received Reward in Multi-Agent System. | Fumito Uwano |
| 2022 | HCI | Design of Human-Agent-Group Interaction for Correct Opinion Sharing on Social Media. | Fumito Uwano, Daiki Yamane, Keiki Takadama |
| 2022 | ICAART | LSTM-based Abstraction of Hetero Observation and Transition in Non-Communicative Multi-Agent Reinforcement Learning. | Fumito Uwano |
| 2022 | ICPRAM | Table-structure Recognition Method Consisting of Plural Neural Network Modules. | Hiroyuki Aoyagi, Teruhito Kanazawa, Atsuhiro Takasu, Fumito Uwano, Manabu Ohta |
| 2020 | HCI | How to Emote for Consensus Building in Virtual Communication. | Yoshimiki Maekawa, Fumito Uwano, Eiki Kitajima, Keiki Takadama |
| 2019 | CEC | Niche Radius Adaptation in Bat Algorithm for Locating Multiple Optima in Multimodal Functions. | Takuya Iwase, Ryo Takano, Fumito Uwano, Hiroyuki Sato, Keiki Takadama |
| 2019 | HCI | How to Design Adaptable Agents to Obtain a Consensus with Omoiyari. | Yoshimiki Maekawa, Fumito Uwano, Eiki Kitajima, Keiki Takadama |
| 2018 | GECCO | Multiple swarm intelligence methods based on multiple population with sharing best solution for drastic environmental change. | Yuta Umenai, Fumito Uwano, Hiroyuki Sato, Keiki Takadama |
| 2018 | GECCO | Generalizing rules by random forest-based learning classifier systems for high-dimensional data mining. | Fumito Uwano, Koji Dobashi, Keiki Takadama, Tim Kovacs |
| 2018 | HCI | Correcting Wrongly Determined Opinions of Agents in Opinion Sharing Model. | Eiki Kitajima, Caili Zhang, Haruyuki Ishii, Fumito Uwano, Keiki Takadama |
| 2018 | PRIMA | Strategy for Learning Cooperative Behavior with Local Information for Multi-agent Systems. | Fumito Uwano, Keiki Takadama |
| 2016 | CEC | A modified cuckoo search algorithm for dynamic optimization problems. | Yuta Umenai, Fumito Uwano, Yusuke Tajima, Masaya Nakata, Hiroyuki Sato, Keiki Takadama |