Satoshi Sekioka, Ryo Hatano and Hiroyuki Nishiyama, Market prediction using machine learning based on social media specific features, Journal of Artificial Life and Robotics, vol.28, No.2, pp.410-417, 2023.
Iku Betto, Ryo Hatano and Hiroyuki Nishiyama, Distraction detection of lectures in e-learning using machine learning based on human facial features and postural information, vol.28, No.1, pp.166-174, 2023.
Kento Tsuchiya, Ryo Hatano and Hiroyuki Nishiyama: Detecting deception using machine learning with facial expressions and pulse rate, Artificial Life and Robotics, Vol. 28, No. 3, pp. 509 – 519, 2023.
Takaya Yokoo, Ryo Hatano and Hiroyuki Nishiyama: Estimation of habit‑related information from male voice data using machine learning‑based methods, Artificial Life and Robotics, Vol. 28, No. 3, pp. 520 - 529, 2023.
国際会議
Narumi Yoneda, Ryo Hatano and Hiroyuki Nishiyama: System-Call-Level Dynamic Analysis for Code Translation Candidate Selection, Proceedings of the 16th International Conference on Agents and Artificial Intelligence (ICAART2024), No. 3, pp. 576 – 583, 2024. 2.
Yasuhiro Oda, Ryo Hatano, Hiroyuki Nishiyama: Review Usefulness Estimation Models Using Customer Q&A Data in E-commerce Websites, Proceedings of the Joint Symposium of The Twenty-Ninth International Symposium on Artificial Life and Robotics (AROB 29th 2024), pp. 55 - 59, 2024. 1.
Yuta Nagakura, Ryo Hatano, Hiroyuki Nishiyama: Concentration estimation based on skeletal information and skin conductance response, Proceedings of the Joint Symposium of The Twenty-Ninth International Symposium on Artificial Life and Robotics (AROB 29th 2024), pp. 65 - 70, 2024. 1.
Shota Kizawa, Ryo Hatano, Hiroyuki Nishiyama: Adversarial Graph Contrastive Learning for Molecular Property Prediction with 2D and 3D Information, Proceedings of the Joint Symposium of The Twenty-Ninth International Symposium on Artificial Life and Robotics (AROB 29th 2024), pp. 71 – 76, 2024. 1.
Haruka Maehara, Ryo Hatano, Hiroyuki Nishiyama: Assisting interpretation of depression diagnosis model utilizing SHAP, Proceedings of the Joint Symposium of The Twenty-Ninth International Symposium on Artificial Life and Robotics (AROB 29th 2024), pp. 257 - 262, 2024. 1.
Shuya Hizume, Ryo Hatano, Hiroyuki Nishiyama: Investigation of SHAP-based channel selection for emotion estimation using EEG signals, Proceedings of the Joint Symposium of The Twenty-Ninth International Symposium on Artificial Life and Robotics (AROB 29th 2024), pp. 386 - 391, 2024. 1.
Satoshi Sekioka, Ryo Hatano, Hiroyuki Nishiyama: Market Prediction Aids Using Machine Learning based on Large Language Model Features, Proceedings of the Joint Symposium of The Twenty-Ninth International Symposium on Artificial Life and Robotics (AROB 29th 2024), pp. 398 - 403, 2024. 1.
Yodai Tanaka, Ryo Hatano, Hiroyuki Nishiyama: Early Prediction of Delirium in ICU Using Multitask Learning, Proceedings of the Joint Symposium of The Twenty-Ninth International Symposium on Artificial Life and Robotics (AROB 29th 2024), pp. 435 - 440, 2024. 1.
Ryo Ugajin, Ryo Hatano, Hiroyuki Nishiyama: Estimation of genes affecting late recurrence of breast cancer using machine learning and XAI techniques, Proceedings of the Joint Symposium of The Twenty-Ninth International Symposium on Artificial Life and Robotics (AROB 29th 2024), pp. 446 - 451, 2024.
Haato Watanabe, Ryo Hatano, Hiroyuki Nishiyama: Exploring User’s Line of Sight And Word Gesture Text Entry Techniques in Virtual Reality, Proceedings of the Joint Symposium of The Twenty-Ninth International Symposium on Artificial Life and Robotics (AROB 29th 2024), pp. 1041 – 1046, 2024. 1.
Ryu Sunaga, Ryo Hatano and Hiroyuki Nishiyama, A Multiple-Input Deep Learning Model for EC Site Review Usefulness Estimation Based on Product and Review Texts, Proceedings of the Joint Symposium of The Twenty-Eighth International Symposium on Artificial Life and Robotics (AROB 28th), 2023.
Yuki Nakazawa, Ryo Hatano and Hiroyuki Nishiyama, Non-contact Estimation of Photoplethysmography Signal based on Facial Videos using Multi-task Learning, Proceedings of the Joint Symposium of The Twenty-Eighth International Symposium on Artificial Life and Robotics (AROB 28th), 2023.
Yukiya Sato, Ryo Hatano and Hiroyuki Nishiyama, Detecting Soccer Events from Social Media Using Natural Language Processing and Machine Learning, Proceedings of the Joint Symposium of The Twenty-Eighth International Symposium on Artificial Life and Robotics (AROB 28th), 2023.
Ayumi Amaike, Ryo Hatano and Hiroyuki Nishiyama, Feature Selection Method with Low Rank Attribution for Predicting Body Temperature Range of ICU Patients in Machine Learning, Proceedings of the Joint Symposium of The Twenty-Eighth International Symposium on Artificial Life and Robotics (AROB 28th), 2023.
Masanari Nojima, Ryo Hatano and Hiroyuki Nishiyama, Estimating Potential Biomarkers of Late Recurrence in Breast Cancer using Machine Learning, Proceedings of the Joint Symposium of The Twenty-Eighth International Symposium on Artificial Life and Robotics (AROB 28th), 2023.
国内学会
南遼佑, 秦野亮, 西山裕之: Mini-Mental State Examination とクラスタリングを組み合わせた軽度認知障害の分類, 情報処理学会 第86回全国大会講演論文集, 2024.
Best Paper Award, Daichi Naito, A Labeling Method Using EEG for Dozing Prediction by Facial Expression Recognition Technology, International Society for Computers and Their Applications, 2018.
Young Author Award, Rina Katsumata, Cat health management system using support vector machine based on acceleration and pressure sensors, International Symposium on Artificial Life and Robotics, 2018.
