N. Manome, S. Shinohara, S. Mitsuyoshi, and U. Chung: Dynamic information compression for lifelong robot learning, AHFE International Conference on Human Factors in Design, Engineering, and Computing, 2024 (Accepted).
N. Manome, S. Shinohara, S. Mitsuyoshi, and U. Chung: Storage optimization through removal and visualization of unnecessary data in continual learning,” 12th International Conference on Human Interaction and Emerging Technologies (IHIET), 2024 (Accepted).
N. Manome, S. Shinohara, S. Mitsuyoshi, and U. Chung: Prototype-Based Classifier for Counterfactual Explanations in Medical Data Analysis, ” 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC), 2024 (Accepted).
N. Manome, S. Mitsuyoshi, and U. Chung: Expressing emotion in artificial speech for more natural human-robot interaction using Sentence-BERT, 14th AHFE International Conference on Human Factors in Design, Engineering, and Computing for All (AHFE), 2023.
Y. Omiya, T. Takano, T. Uraguchi, M. Nakamura, M. Higuchi, S. Shinohara, S. Mitsuyoshi, M. Ishida, Y. Kumamoto, S. Tokuno: A Pilot Study to Distinguish Between Healthy Participant and Patient with Alzheimer’s Disease and Parkinson’s Disease Based on Vocal Analysis. Advances in Alzheimer’s and Parkinson’s Therapies (An AAT-AD/PD™ Focus Meeting), 2020.
T. Takano, Y. Omiya, M. Nakamura, M. Higuchi, S. Shinohara, S. Mitsuyoshi, J. Takemura, T. Okazaki, S. Tokuno: Correlation Between Driving Skills, Cognitive Function, and Speech Speed in Elderly Drivers. Advances in Alzheimer’s and Parkinson’s Therapies (An AAT-AD/PD™ Focus Meeting), 2020.
M. Higuchi, M. Nakamura, T. Takano, T. Okazaki, J. Takemura, Y. Omiya, S. Shinohara, S. Mitsuyoshi, S. Tokuno: A Study and Evaluation Using Voice to Gauge the Driving Ability of the Elderly. Advances in Alzheimer’s and Parkinson’s Therapies (An AAT-AD/PD™ Focus Meeting), 2020.
Nobuhito Manome, Shuji Shinohara, Kouta Suzuki, Shunji Mitsuyoshi, Yu Chen: Online Machine Learning Method for Learning Rate Autonomous Adjustment: Pilot Study to Detect Parkinson’s Disease using Small Datasets. Advances in Alzheimer’s and Parkinson’s Therapies (An AAT-AD/PD™ Focus Meeting), 2020.
Kouta Suzuki, Shuji Shinohara, Masakazu Higuchi, Nobuhito Manome, Yasuhiro Omiya, Shunji Mitsuyoshi: Generalization performance improvement method using automatic feature selection in pathological voice detection, in Proceedings of Neuroscience 2019, 2019.
Nobuhito Manome, Shuji Shinohara, Kouta Suzuki, Yasuhiro Omiya, Masakazu Higuchi, Shunji Mitsuyoshi: Parkinson’s disease detection from a small amount of data based on self-organizing maps, in Proceedings of Neuroscience 2019, 2019.
Yasuhiro Omiya, Tomotaka Uraguchi, Takeshi Takano, Mitsuteru Nakamura, Shuji Shinohara, Masakazu Higuchi, Kouta Suzuki, Nobuhito Manome, Mitsuyoshi Ishida, Yorio Kumamoto, Shunji Mitsuyoshi, Shinichi Tokuno: Pilot study of distinguish between dementia with Lewy bodies and healthy subjects using voice, in Proceedings of Neuroscience 2019, 2019.
Kouta Suzuki, Naoki Hagiwara, Yasuhiro Omiya, Takashi Kirita, Shuji Shinohara, Nobuhito Manome, Shunji Mitsuyoshi: A Preliminary Study of Speech Emotion Recognition inside Automobile, The 21st International Conference on Human-Computer Interaction (HCI 2019), 2019.
Shuji Shinohara, Hiroyuki Toda, Mitsuteru Nakamura, Yasuhiro Omiya, Masakazu Higuchi, Takeshi Takano, Nobuhito Manome, Kouta Suzuki, Taku Saito, Masaaki Tanichi, Shunji Mitsuyoshi, Tomotaka Uraguchi, Aihide Yoshino, Shinichi Tokuno: Detecting Persons with Major Depression by a Voice Index Based on the Relationship between Hurst Exponent and Zero Crossing Rate, The IEEE 41st International Engineering in Medicine and Biology Conference (EMBC 2019), 2019.
Nobuhito Manome, Shuji Shinohara, Kouta Suzuki, Yasuhiro Omiya, Masakazu Higuchi, Shunji Mitsuyoshi: Identification of Parkinson’s Disease from Scarce Data Using Learning Vector Quantization, The IEEE 41st International Engineering in Medicine and Biology Conference (EMBC 2019), 2019.
Kouta Suzuki, Shuji Shinohara, Masakazu Higuchi, Nobuhito Manome, Yasuhiro Omiya, Shunji Mitsuyoshi: Parkinson’s Disease Detection Based on LightGBM, The IEEE 41st International Engineering in Medicine and Biology Conference (EMBC 2019), 2019.
Yasuhiro Omiya, Mitsuteru Nakamura, Shuji Shinohara, Masakazu Higuchi, Kouta Suzuki, Nobuhito Manome, Shunji Mitsuyoshi, Isao Yamamoto, Susumu Mukai, Shinichi Tokuno: An Experiment to Detect Laryngomalacia Using Baby’s Crying Voice, The IEEE 41st International Engineering in Medicine and Biology Conference (EMBC 2019), 2019.
Tomotaka Uraguchi, Yasuhiro Omiya, Shuji Shinohara, Kouta Suzuki, Nobuhito Manome, Yorio Kumamoto, Shinichi Tokuno: An Experiment to Distinguish Major Depression and Dementia with Lewy Bodies from Healthy Participants Using Voice, The IEEE 41st International Engineering in Medicine and Biology Conference (EMBC 2019), 2019.
Masakazu Higuchi, Mitsuteru Nakamura, Shuji Shinohara, Yasuhiro Omiya, Takeshi Takano, Kouta Suzuki, Nobuhito Manome, Hiroyuki Toda, Taku Saito, Aihide Yoshino, Shunji Mitsuyoshi, Shinichi Tokuno: Effectiveness of Voice Biomarker in Detecting Bipolar Disorder, The IEEE 41st International Engineering in Medicine and Biology Conference (EMBC 2019), 2019.
Nobuhito Manome, Shuji Shinohara, Kouta Suzuki, Kosuke Tomonaga, Shunji Mitsuyoshi: SOM-based Algorithm for Multi-armed Bandit Problem, in Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 2019), 2019.
Nobuhito Manome, Shuji Shinohara, Kouta Suzuki, Kosuke Tomonaga, Shunji Mitsuyoshi: Verification of the Ability to Identify Parkinson’s Disease Patients Using Learning Vector Quantization, in Proceedings of the 26th International Stress and Behavior Neuroscience and Biopsychiatry Conference (ISBS 2019), pp. 42-43, 2019.
