Iko Nakari

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Probability Estimation

Top Venues

AAAI Spring Symposium: HFIF

AAAI Spring Symposium: Interpretable AI for Well-being

AAAI Spring Symposia

Publications

Iko Nakari, Keiki Takadama
Non-Contact Sleep Stage Estimation by Updating its Prediction Probabilities According to Ultradian Rhythm. J. Adv. Comput. Intell. Intell. Informatics 28 (2) (2024)
Iko Nakari, Keiki Takadama
Explainable Non-Contact Sleep Apnea Syndrome Detection Based on Comparison of Random Forests. IEEE Access 12 (2024)
Iko Nakari, Keiki Takadama
Sleep Stage Estimation by Introduction of Sleep Domain Knowledge to AI: Towards Personalized Sleep Counseling System with GenAI. AAAI Spring Symposia (2024)
Daiki Shintani, Iko Nakari, Satomi Washizaki, Keiki Takadama
NREM3 Sleep Stage Estimation Based on Accelerometer by Body Movement Count and Biological Rhythms. AAAI Spring Symposia (2024)
Iko Nakari, Masahiro Nakashima, Keiki Takadama
Personalized Sleep Stage Estimation Based on Time Series Probability of Estimation for Each Label with Wearable 3-Axis Accelerometer. HCI (5) (2023)
Iko Nakari, Keiki Takadama
Sleep Stage Estimation based on The Estimated Probability of each Sleep Stage by Learning with Specialized Models. AAAI Spring Symposium: SRAI (2023)
Naoya Matsuda, Iko Nakari, Keiki Takadama, Kohta Katayama, Makoto Shiraishi, Yoshiyuki Ohira
Alzheimer Dementia Detection Based on Time-series Instability of Heart Rate. EMBC (2023)
Iko Nakari, Keiki Takadama
Personalized Non-contact Sleep Stage Estimation with Weighted Probability Estimation by Ultradian Rhythm. EMBC (2023)
Iko Nakari, Naoya Matsuda, Keiki Takadama
Non-Contact REM Sleep Estimation Correction by Time-Series Confidence of Predictions: From Binary to Continuous Prediction in Machine Learning for Biological Data. EMBC (2022)
Naoya Matsuda, Taiki Senju, Iko Nakari, Keiki Takadama
Analysis of Circadian Rhythm Estimation Process for Improving the Accuracy of Alzheimer Dementia Detection. AAAI Spring Symposium: HFIF (2022)
Hiroki Shiraishi, Yohei Hayamizu, Iko Nakari, Hiroyuki Sato, Keiki Takadama
Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS. EvoApplications (2022)
Iko Nakari, Naoya Matsuda, Keiki Takadama
REM Estimation Based on Combination of Multi-Timescale Estimations and Automatic Adjustment of Personal Bio-vibration Data of Mattress Sensor. AAAI Spring Symposium: HFIF (2022)
Naoya Matsuda, Iko Nakari, Keiki Takadama
Unstable Circadian Rhythm of Heart Rate of Alzheimer Dementia Based on Biological Data of Mattress Sensor. EMBC (2022)
Iko Nakari, Keiki Takadama
Sleep Apnea Syndrome Detection Based on Degree of Convexity of Logarithmic Spectrum Calculated from Overnight Bio-vibration Data of Mattress Sensor. EMBC (2021)
Naoya Matsuda, Iko Nakari, Ryotaro Arai, Hiroyuki Sato, Keiki Takadama, Masanori Hirose, Hiroshi Hasegawa, Makoto Shiraishi, Takahide Matsuda
Alzheimer Dementia Detection based on Circadian Rhythm Disorder of Heartrate. LifeTech (2021)
Naoya Matsuda, Iko Nakari, Keiki Takadama
Alzheimer Dementia Detection Based on Unstable Circadian Rhythm Waves Extracted from Heartrate. EMBC (2021)
Iko Nakari, Eiki Kitajima, Yusuke Tajima, Keiki Takadama
Non-contact Sleep Apnea Syndrome Detection Based on What Random Forests Learned. LifeTech (2020)
Iko Nakari, Yusuke Tajima, Akari Tobaru, Keiki Takadama
WAKE Detection During Sleep using Random Forest for Apnea Syndrome Patients. AAAI Spring Symposium: Interpretable AI for Well-being (2019)
Ryo Takano, Akari Tobaru, Iko Nakari, Keiki Takadama
Sleep Stage Estimation Through Mattress Sensor. AAAI Spring Symposium: Interpretable AI for Well-being (2019)
Iko Nakari, Akinori Murata, Eiki Kitajima, Hiroyuki Sato, Keiki Takadama
Sleep Apnea Syndrome Detection based on Biological Vibration Data from Mattress Sensor. SSCI (2019)