| 2023 | CoDIT | Gradient Boosting Approach to Predict Zero Carbon Achievement of Households in Kitakyushu. | Nitin Kumar Singh, Takuya Fukushima, Masaaki Nagahara |
| 2019 | MDAI | Estimating Optimal Values for Intentional-Value-Substitution Learning. | Takuya Fukushima, Taku Hasegawa, Tomoharu Nakashima |
| 2019 | RoboCup | Similarity Analysis of Action Trajectories Based on Kick Distributions. | Takuya Fukushima, Tomoharu Nakashima, Hidehisa Akiyama |
| 2019 | RoboCup | Game-Watching Should be More Entertaining: Real-Time Application of Field-Situation Prediction to a Soccer Monitor. | Yudai Suzuki, Takuya Fukushima, La Thibout, Tomoharu Nakashima, Hidehisa Akiyama |
| 2018 | RoboCup | HELIOS2018: RoboCup 2018 Soccer Simulation 2D League Champion. | Hidehisa Akiyama, Tomoharu Nakashima, Takuya Fukushima, Jiarun Zhong, Yudai Suzuki, An Ohori |
| 2018 | RoboCup | Mimicking an Expert Team Through the Learning of Evaluation Functions from Action Sequences. | Takuya Fukushima, Tomoharu Nakashima, Hidehisa Akiyama |
| 2017 | RoboCup | Online Opponent Formation Identification Based on Position Information. | Takuya Fukushima, Tomoharu Nakashima, Hidehisa Akiyama |