Iko Nakari

According to our database, Iko Nakari authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Explainable Non-Contact Sleep Apnea Syndrome Detection Based on Comparison of Random Forests.

Iko Nakari, Keiki Takadama

IEEE Access, 2024

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

Proceedings of the Human Interface and the Management of Information, 2023

Personalized Non-contact Sleep Stage Estimation with Weighted Probability Estimation by Ultradian Rhythm.

Iko Nakari, Keiki Takadama

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Alzheimer Dementia Detection Based on Time-series Instability of Heart Rate.

Naoya Matsuda, Iko Nakari, Keiki Takadama, Kohta Katayama, Makoto Shiraishi, Yoshiyuki Ohira

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Sleep Stage Estimation based on The Estimated Probability of each Sleep Stage by Learning with Specialized Models.

Iko Nakari, Keiki Takadama

Proceedings of the Post-event Proceedings of the AAAI Spring Symposium: Socially Responsible AI for Well-being (AAAI-SRAI 2023) co-located with Association for the Advancement of Artificial Intelligence 2023 Spring Symposium (AAAI-Spring Symposium 2023), 2023

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

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Unstable Circadian Rhythm of Heart Rate of Alzheimer Dementia Based on Biological Data of Mattress Sensor.

Naoya Matsuda, Iko Nakari, Keiki Takadama

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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

Proceedings of the Symposium How Fair is Fair? Achieving Wellbeing AI co-located with Association for the Advancement of Artificial Intelligence 2022 Spring Symposium (AAAI-Spring Symposium 2022), 2022

Analysis of Circadian Rhythm Estimation Process for Improving the Accuracy of Alzheimer Dementia Detection.

Naoya Matsuda, Taiki Senju, Iko Nakari, Keiki Takadama

Proceedings of the Symposium How Fair is Fair? Achieving Wellbeing AI co-located with Association for the Advancement of Artificial Intelligence 2022 Spring Symposium (AAAI-Spring Symposium 2022), 2022

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

Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Alzheimer Dementia Detection Based on Unstable Circadian Rhythm Waves Extracted from Heartrate.

Naoya Matsuda, Iko Nakari, Keiki Takadama

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Non-contact Sleep Apnea Syndrome Detection Based on What Random Forests Learned.

Iko Nakari, Eiki Kitajima, Yusuke Tajima, Keiki Takadama

Proceedings of the 2nd IEEE Global Conference on Life Sciences and Technologies, 2020

2019

Sleep Apnea Syndrome Detection based on Biological Vibration Data from Mattress Sensor.

Iko Nakari, Akinori Murata, Eiki Kitajima, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Sleep Stage Estimation Through Mattress Sensor.

Ryo Takano, Akari Tobaru, Iko Nakari, Keiki Takadama

Proceedings of the Symposium Interpretable AI for Well-being: Understanding Cognitive Bias and Social Embeddedness co-located with Association for the Advancement of Artificial Intelligence 2019 Spring Symposium (AAAI-Spring Symposium 2019), 2019

WAKE Detection During Sleep using Random Forest for Apnea Syndrome Patients.

Iko Nakari, Yusuke Tajima, Akari Tobaru, Keiki Takadama

Proceedings of the Symposium Interpretable AI for Well-being: Understanding Cognitive Bias and Social Embeddedness co-located with Association for the Advancement of Artificial Intelligence 2019 Spring Symposium (AAAI-Spring Symposium 2019), 2019