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2020 – today
- 2024
[j2]Iko Nakari
, Keiki Takadama:
Explainable Non-Contact Sleep Apnea Syndrome Detection Based on Comparison of Random Forests. IEEE Access 12: 12001-12009 (2024)- [j1]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): 444-453 (2024) - [c18]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: 368-373 - [c17]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: 405-411 - 2023
- [c16]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: 103-110 - [c15]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: 1-4 - [c14]Iko Nakari, Keiki Takadama:
Personalized Non-contact Sleep Stage Estimation with Weighted Probability Estimation by Ultradian Rhythm. EMBC 2023: 1-4 - [c13]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: 531-542 - 2022
- [c12]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: 74-80 - [c11]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: 81-87 - [c10]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: 1008-1011 - [c9]Naoya Matsuda, Iko Nakari, Keiki Takadama:
Unstable Circadian Rhythm of Heart Rate of Alzheimer Dementia Based on Biological Data of Mattress Sensor. EMBC 2022: 1129-1132 - [c8]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: 352-368 - 2021
- [c7]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: 2270-2273 - [c6]Naoya Matsuda, Iko Nakari, Keiki Takadama:
Alzheimer Dementia Detection Based on Unstable Circadian Rhythm Waves Extracted from Heartrate. EMBC 2021: 4473-4476 - [c5]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: 360-364 - 2020
- [c4]Iko Nakari, Eiki Kitajima, Yusuke Tajima, Keiki Takadama:
Non-contact Sleep Apnea Syndrome Detection Based on What Random Forests Learned. LifeTech 2020: 240-244
2010 – 2019
- 2019
- [c3]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 - [c2]Ryo Takano, Akari Tobaru, Iko Nakari, Keiki Takadama:
Sleep Stage Estimation Through Mattress Sensor. AAAI Spring Symposium: Interpretable AI for Well-being 2019 - [c1]Iko Nakari, Akinori Murata, Eiki Kitajima, Hiroyuki Sato, Keiki Takadama:
Sleep Apnea Syndrome Detection based on Biological Vibration Data from Mattress Sensor. SSCI 2019: 550-556
Coauthor Index
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