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ORCIDNaoki Kodama
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2020 – today
- 2024
[c16]Naoko Kosugi, Kentaro Ishii, Naoki Kodama:
Research and Development of an AI Music Therapist - Toward Digital Therapeutics of Music Therapy. iiWAS (2) 2024: 151-166- 2023
- [c15]Masaki Ichino, Naoyuki Masuda, Takahiro Hayashi, Naoki Kodama, Takamichi Saito:
Device Classification via Passive Fingerprints with Clustering Algorithm. BWCCA 2023: 122-134 - [c14]Kazuma Uchida, Naoki Kodama, Hiroyuki Okuda, Kazuhide Kuroda, Tatsuya Suzuki:
Observation and Modeling of decision-making of Pedestrian with Interactions at X-Crossing. SICE 2023: 850-855 - [c13]Yun Li, Yuyuan Chang, Kazuhiko Fukawa, Naoki Kodama:
Reinforcement Learning-Based Cognitive Radio Transmission Scheduling in Vehicular Systems. VTC2023-Spring 2023: 1-5 - 2022
- [j4]Naoki Kodama
, Taku Harada, Kazuteru Miyazaki:
Traffic Signal Control System Using Deep Reinforcement Learning With Emphasis on Reinforcing Successful Experiences. IEEE Access 10: 128943-128950 (2022) - [i1]Riki Kimura, Shunsuke Tanaka, Naoki Wakui, Naoki Kodama, Shohei Yano:
A Study on the relationship between the geometrical shapes and the biometrical acoustic characteristics of human ear canal. CoRR abs/2208.14182 (2022) - 2021
- [j3]Naoki Kodama, Taku Harada, Kazuteru Miyazaki:
Home Energy Management Algorithm Based on Deep Reinforcement Learning Using Multistep Prediction. IEEE Access 9: 153108-153115 (2021) - 2020
- [c12]Ryukichi Sekimoto, Sachio Saiki, Masahide Nakamura, Naoki Kodama, Atsushi Sato:
EVIDENT: Extraction and Visualization Interface of Drawing Execution in Neuropsychological Tests. HCI (18) 2020: 460-472
2010 – 2019
- 2019
- [c11]Naoki Kodama, Taku Harada, Kazuteru Miyazaki:
Deep Reinforcement Learning with Dual Targeting Algorithm. IJCNN 2019: 1-6 - 2018
- [c10]Naoki Kodama, Kazuteru Miyazaki, Taku Harada:
A Proposal for Reducing the Number of Trial-and-Error Searches for Deep Q-Networks Combined with Exploitation-Oriented Learning. ICMLA 2018: 983-988 - [c9]Kazuteru Miyazaki, Naoki Kodama, Hiroaki Kobayashi:
Proposal and Evaluation of an Indirect Reward Assignment Method for Reinforcement Learning by Profit Sharing Method. IntelliSys (1) 2018: 187-200 - 2017
- [c8]Hiroshi Takeuchi, Naoki Kodama:
Time-series data analysis of home blood flow velocity measurements from radial artery in relation to lifestyle factors. BHI 2017: 425-428 - 2015
- [c7]Hiroshi Takeuchi, Naoki Kodama, Shingo Takahashi:
Time-Series Data Analysis of Long-Term Home Blood Pressure Measurements in Relation to Lifestyle. MedInfo 2015: 751-755 - 2014
- [c6]Hiroshi Takeuchi, Naoki Kodama:
Validity of association rules extracted by healthcare-data-mining. EMBC 2014: 4960-4963 - 2013
- [j2]Atsushi Saito, Fumio Kugiya, Naoki Kodama:
Standardization & Application Expansion Activity of Removable HDD (iVDR). IEICE Trans. Electron. 96-C(12): 1508-1514 (2013) - [c5]Naoko Kosugi, Naoki Kodama, Sachiko Shimizu, Shunsuke Saruwatari, Tsutomu Terada, Hiroaki Kazui, Koichi Yamashita, Hideyuki Kawashima, Masayuki Hata:
A Prototype System of Remote Music Therapy Using the Latest Communication Technology in Japan. iiWAS 2013: 671 - [c4]Hiroshi Takeuchi, Yuuki Mayuzumi, Naoki Kodama, Keiichi Sato:
Personal Healthcare System Using Cloud Computing. MedInfo 2013: 936 - 2012
- [j1]Motoharu Gondo, Yoshiya Moriguchi, Naoki Kodama, Noriko Sato, Nobuyuki Sudo, Chiharu Kubo, Gen Komaki:
Daily physical complaints and hippocampal function: An fMRI study of pain modulation by anxiety. NeuroImage 63(3): 1011-1019 (2012) - [c3]Hiroshi Takeuchi, Yuuki Mayuzumi, Naoki Kodama:
Parameters characterizing nature of personal health in the correlation between energy expenditure/supply and body-fat. EMBC 2012: 2140-2143 - 2011
- [c2]Hiroshi Takeuchi, Yuuki Mayuzumi, Naoki Kodama:
Analysis of time-series correlation between weighted lifestyle data and health data. EMBC 2011: 1511-1514
2000 – 2009
- 2006
- [c1]Hiroshi Takeuchi, Naoki Kodama, Takeshi Hashiguchi, Doubun Hayashi:
Automated Healthcare Data Mining Based on a Personal Dynamic Healthcare System. EMBC 2006: 3604-3607
Coauthor Index
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