WAKE Detection During Sleep using Random Forest for Apnea Syndrome Patients. - Iko Nakari; Yusuke Tajima; Akari Tobaru; Keiki Takadama (AAAI Spring Symposium: Interpretable AI for Well-being, 2019)

Sleep Stage Estimation Through Mattress Sensor. - Ryo Takano; Akari Tobaru; Iko Nakari; Keiki Takadama (AAAI Spring Symposium: Interpretable AI for Well-being, 2019)

Sleep Apnea Syndrome Detection based on Biological Vibration Data from Mattress Sensor. - Iko Nakari; Akinori Murata; Eiki Kitajima; Hiroyuki Sato; Keiki Takadama (SSCI, 2019)

Non-contact Sleep Apnea Syndrome Detection Based on What Random Forests Learned. - Iko Nakari; Eiki Kitajima; Yusuke Tajima; Keiki Takadama (LifeTech, 2020)

Alzheimer Dementia Detection Based on Unstable Circadian Rhythm Waves Extracted from Heartrate. - Naoya Matsuda; Iko Nakari; Keiki Takadama (EMBC, 2021)

Sleep Apnea Syndrome Detection Based on Degree of Convexity of Logarithmic Spectrum Calculated from Overnight Bio-vibration Data of Mattress Sensor. - Iko Nakari; Keiki Takadama (EMBC, 2021)

Alzheimer Dementia Detection based on Circadian Rhythm Disorder of Heartrate. - Naoya Matsuda; Iko Nakari; Ryotaro Arai; Hiroyuki Sato; Keiki Takadama; Masanori Hirose; Hiroshi Hasegawa; Makoto Shiraishi; Takahide Matsuda (LifeTech, 2021)

Analysis of Circadian Rhythm Estimation Process for Improving the Accuracy of Alzheimer Dementia Detection. - Naoya Matsuda; Taiki Senju; Iko Nakari; Keiki Takadama (AAAI Spring Symposium: HFIF, 2022)

REM Estimation Based on Combination of Multi-Timescale Estimations and Automatic Adjustment of Personal Bio-vibration Data of Mattress Sensor. - Iko Nakari; Naoya Matsuda; Keiki Takadama (AAAI Spring Symposium: HFIF, 2022)

Unstable Circadian Rhythm of Heart Rate of Alzheimer Dementia Based on Biological Data of Mattress Sensor. - Naoya Matsuda; Iko Nakari; Keiki Takadama (EMBC, 2022)

Non-Contact REM Sleep Estimation Correction by Time-Series Confidence of Predictions: From Binary to Continuous Prediction in Machine Learning for Biological Data. - Iko Nakari; Naoya Matsuda; Keiki Takadama (EMBC, 2022)

Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS. - Hiroki Shiraishi; Yohei Hayamizu; Iko Nakari; Hiroyuki Sato; Keiki Takadama (EvoApplications, 2022)

Sleep Stage Estimation based on The Estimated Probability of each Sleep Stage by Learning with Specialized Models. - Iko Nakari; Keiki Takadama (AAAI Spring Symposium: SRAI, 2023)

Alzheimer Dementia Detection Based on Time-series Instability of Heart Rate. - Naoya Matsuda; Iko Nakari; Keiki Takadama; Kohta Katayama; Makoto Shiraishi; Yoshiyuki Ohira (EMBC, 2023)

Personalized Non-contact Sleep Stage Estimation with Weighted Probability Estimation by Ultradian Rhythm. - Iko Nakari; Keiki Takadama (EMBC, 2023)

Personalized Sleep Stage Estimation Based on Time Series Probability of Estimation for Each Label with Wearable 3-Axis Accelerometer. - Iko Nakari; Masahiro Nakashima; Keiki Takadama (HCI (5), 2023)

Sleep Stage Estimation by Introduction of Sleep Domain Knowledge to AI: Towards Personalized Sleep Counseling System with GenAI. - Iko Nakari; Keiki Takadama (AAAI Spring Symposia, 2024)

NREM3 Sleep Stage Estimation Based on Accelerometer by Body Movement Count and Biological Rhythms. - Daiki Shintani; Iko Nakari; Satomi Washizaki; Keiki Takadama (AAAI Spring Symposia, 2024)

REM Estimation Based on Accelerometer by Excluding Other Stages and Two-Scale Smoothing. - Daiki Shintani; Iko Nakari; Satomi Washizaki; Keiki Takadama (EMBC, 2024)

Explainable Non-Contact Sleep Apnea Syndrome Detection Based on Comparison of Random Forests. - Iko Nakari; Keiki Takadama (IEEE Access, 2024)

Non-Contact Sleep Stage Estimation by Updating its Prediction Probabilities According to Ultradian Rhythm. - Iko Nakari; Keiki Takadama (J. Adv. Comput. Intell. Intell. Informatics, 2024)