SS3: A design of the cognitive process model for a car driver considering quantitatively expressed distraction. - Taku Harada; Akira Yoshizawa; Kazuaki Mori; Hirotoshi Iwasaki (ICCI*CC, 2014)

Evaluation Model of Cognitive Distraction State Based on Eye Tracking Data Using Neural Networks. - Taku Harada; Hirotoshi Iwasaki; Kazuaki Mori; Akira Yoshizawa; Fumio Mizoguchi (Int. J. Softw. Sci. Comput. Intell., 2014)

Designing a Car-Driver's Cognitive Process Model for considering Degree of Distraction. - Taku Harada; Kazuaki Mori; Akira Yoshizawa; Hirotoshi Iwasaki (Int. J. Softw. Sci. Comput. Intell., 2015)

Considering eye movement type when applying random forest to detect cognitive distraction. - Hiroaki Koma; Taku Harada; Akira Yoshizawa; Hirotoshi Iwasaki (ICCI*CC, 2016)

Detecting Cognitive Distraction using Random Forest by Considering Eye Movement Type. - Hiroaki Koma; Taku Harada; Akira Yoshizawa; Hirotoshi Iwasaki (Int. J. Cogn. Informatics Nat. Intell., 2017)

Evaluating the Influence of Ambient State of a Car on the Cognitive Distracted State of the Driver. - Hiroaki Koma; Akira Yoshizawa; Taku Harada; Hirotoshi Iwasaki (ICCI*CC, 2018)

A Proposal for Reducing the Number of Trial-and-Error Searches for Deep Q-Networks Combined with Exploitation-Oriented Learning. - Naoki Kodama; Kazuteru Miyazaki; Taku Harada (ICMLA, 2018)

Deep Reinforcement Learning with Dual Targeting Algorithm. - Naoki Kodama; Taku Harada; Kazuteru Miyazaki (IJCNN, 2019)

Evaluation of Driver's Cognitive Distracted State Considering the Ambient State of a Car. - Hiroaki Koma; Taku Harada; Akira Yoshizawa; Hirotoshi Iwasaki (Int. J. Cogn. Informatics Nat. Intell., 2019)

Home Energy Management Algorithm Based on Deep Reinforcement Learning Using Multistep Prediction. - Naoki Kodama; Taku Harada; Kazuteru Miyazaki (IEEE Access, 2021)

Traffic Signal Control System Using Deep Reinforcement Learning With Emphasis on Reinforcing Successful Experiences. - Naoki Kodama; Taku Harada; Kazuteru Miyazaki (IEEE Access, 2022)

Optimizing Job Shop Scheduling with Deep Q-Network for Robust Performance. - Yu-Cheng Kuo; Taku Harada (SCIS/ISIS, 2024)

Application of Graph Attention Network for Breast Cancer Data and Explanation of Prediction Basis. - Qingyu Zeng; Shoma Tamori; Taku Harada (IEEE Access, 2025)