Iko Nakari

21 papers B 1Journal 2Unranked 18
YearRankTypeTitle / Venue / Authors
2024 J jnl
Explainable Non-Contact Sleep Apnea Syndrome Detection Based on Comparison of Random Forests.
IEEE Access
Iko Nakari, Keiki Takadama
2024 — conf
NREM3 Sleep Stage Estimation Based on Accelerometer by Body Movement Count and Biological Rhythms.
AAAI Spring Symposia
Daiki Shintani, Iko Nakari, Satomi Washizaki, Keiki Takadama
2024 J jnl
Non-Contact Sleep Stage Estimation by Updating its Prediction Probabilities According to Ultradian Rhythm.
J. Adv. Comput. Intell. Intell. Informatics
Iko Nakari, Keiki Takadama
2024 — conf
REM Estimation Based on Accelerometer by Excluding Other Stages and Two-Scale Smoothing.
EMBC
Daiki Shintani, Iko Nakari, Satomi Washizaki, Keiki Takadama
2024 — conf
Sleep Stage Estimation by Introduction of Sleep Domain Knowledge to AI: Towards Personalized Sleep Counseling System with GenAI.
AAAI Spring Symposia
Iko Nakari, Keiki Takadama
2023 — conf
Alzheimer Dementia Detection Based on Time-series Instability of Heart Rate.
EMBC
Naoya Matsuda, Iko Nakari, Keiki Takadama, Kohta Katayama, Makoto Shiraishi, Yoshiyuki Ohira
2023 — conf
Personalized Non-contact Sleep Stage Estimation with Weighted Probability Estimation by Ultradian Rhythm.
EMBC
Iko Nakari, Keiki Takadama
2023 — conf
Personalized Sleep Stage Estimation Based on Time Series Probability of Estimation for Each Label with Wearable 3-Axis Accelerometer.
HCI (5)
Iko Nakari, Masahiro Nakashima, Keiki Takadama
2023 — conf
Sleep Stage Estimation based on The Estimated Probability of each Sleep Stage by Learning with Specialized Models.
AAAI Spring Symposium: SRAI
Iko Nakari, Keiki Takadama
2022 — conf
Analysis of Circadian Rhythm Estimation Process for Improving the Accuracy of Alzheimer Dementia Detection.
AAAI Spring Symposium: HFIF
Naoya Matsuda, Taiki Senju, Iko Nakari, Keiki Takadama
2022 B conf
Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS.
EvoApplications
Hiroki Shiraishi, Yohei Hayamizu, Iko Nakari, Hiroyuki Sato, Keiki Takadama
2022 — conf
Non-Contact REM Sleep Estimation Correction by Time-Series Confidence of Predictions: From Binary to Continuous Prediction in Machine Learning for Biological Data.
EMBC
Iko Nakari, Naoya Matsuda, Keiki Takadama
2022 — conf
REM Estimation Based on Combination of Multi-Timescale Estimations and Automatic Adjustment of Personal Bio-vibration Data of Mattress Sensor.
AAAI Spring Symposium: HFIF
Iko Nakari, Naoya Matsuda, Keiki Takadama
2022 — conf
Unstable Circadian Rhythm of Heart Rate of Alzheimer Dementia Based on Biological Data of Mattress Sensor.
EMBC
Naoya Matsuda, Iko Nakari, Keiki Takadama
2021 — conf
Alzheimer Dementia Detection Based on Unstable Circadian Rhythm Waves Extracted from Heartrate.
EMBC
Naoya Matsuda, Iko Nakari, Keiki Takadama
2021 — conf
Alzheimer Dementia Detection based on Circadian Rhythm Disorder of Heartrate.
LifeTech
Naoya Matsuda, Iko Nakari, Ryotaro Arai, Hiroyuki Sato, Keiki Takadama, Masanori Hirose, Hiroshi Hasegawa, Makoto Shiraishi, Takahide Matsuda
2021 — conf
Sleep Apnea Syndrome Detection Based on Degree of Convexity of Logarithmic Spectrum Calculated from Overnight Bio-vibration Data of Mattress Sensor.
EMBC
Iko Nakari, Keiki Takadama
2020 — conf
Non-contact Sleep Apnea Syndrome Detection Based on What Random Forests Learned.
LifeTech
Iko Nakari, Eiki Kitajima, Yusuke Tajima, Keiki Takadama
2019 — conf
Sleep Apnea Syndrome Detection based on Biological Vibration Data from Mattress Sensor.
SSCI
Iko Nakari, Akinori Murata, Eiki Kitajima, Hiroyuki Sato, Keiki Takadama
2019 — conf
Sleep Stage Estimation Through Mattress Sensor.
AAAI Spring Symposium: Interpretable AI for Well-being
Ryo Takano, Akari Tobaru, Iko Nakari, Keiki Takadama
2019 — conf
WAKE Detection During Sleep using Random Forest for Apnea Syndrome Patients.
AAAI Spring Symposium: Interpretable AI for Well-being
Iko Nakari, Yusuke Tajima, Akari Tobaru, Keiki Takadama