Can Affective Computing Better the Mental Status of the Electronic Games Player? A Perspective. - Yueheng Wang; Kun Qian 003; Jacob Nelson 004; Hiromichi Yagi; Akifumi Kishi; Kenji Morita; Yoshiharu Yamamoto (LifeTech, 2020)

Predictive Modeling of Mental Illness Onset Using Wearable Devices and Medical Examination Data: Machine Learning Approach. - Tomoki Saito; Hikaru Suzuki; Akifumi Kishi (Frontiers Digit. Health, 2022)

Daily Mental Health Monitoring from Speech: A Real-World Japanese Dataset and Multitask Learning Analysis. - Meishu Song; Andreas Triantafyllopoulos; Zijiang Yang 007; Hiroki Takeuchi; Toru Nakamura; Akifumi Kishi; Tetsuro Ishizawa; Kazuhiro Yoshiuchi; Xin Jing; Vincent Karas; Zhonghao Zhao; Kun Qian 003; et al. (ICASSP, 2023)

Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction. - Meishu Song; Zijiang Yang 007; Andreas Triantafyllopoulos; Toru Nakamura; Yongxin Zhang; Zhao Ren; Hiroki Takeuchi; Akifumi Kishi; Tetsuro Ishizawa; Kazuhiro Yoshiuchi; Haojie Zhang; Kun Qian 003; et al. (ICDM (Workshops), 2023)

Macro-Sleep Staging With ECG-Derived Instantaneous Heart Rate and Respiration Signals and Multi-Input 1-D CNN-BiGRU. - Roneel V. Sharan; Hiroki Takeuchi; Akifumi Kishi; Yoshiharu Yamamoto (IEEE Trans. Instrum. Meas., 2024)

Unveiling Sleep Dysregulation in Chronic Fatigue Syndrome with and Without Fibromyalgia Through Bayesian Networks. - Michal Bechny; Marco Scutari; Julia van der Meer; Francesca D. Faraci; Stéphane Meystre; Benjamin H. Natelson; Akifumi Kishi (AIME (1), 2025)