Hajime Nagahara

Detecting Drowsy Learners at the Wheel of e-Learning Platforms With Multimodal Learning Analytics

Noriko Takemura, H. Takemura, M. Cukurova, 2021, IEEE Access.

Evaluation of Anxiety State Discrimination by Recurrent Neural Network using the Connectivity of Brain Function Network by EEG

Noriko Takemura, Y. Mizuno-Matsumoto, Ayumi Muramatsu, 2023, IEEJ Transactions on Electronics, Information and Systems.

Learning Bottleneck Concepts in Image Classification

Liangzhi Li, Bowen Wang, Hajime Nagahara, 2023, ArXiv.

Criteria for detection of possible risk factors for mental health problems in undergraduate university students

T. Higashino, Mehrasa Alizadeh, Teruhiro Mizumoto, 2023, Frontiers in Psychiatry.

Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory

Yuta Nakashima, Liangzhi Li, R. Kawasaki, 2023, BMC Medical Informatics and Decision Making.

Automated Orthodontic Diagnosis from a Summary of Medical Findings

Takashi Ninomiya, Tomoyuki Kajiwara, C. Tanikawa, 2023, CLINICALNLP.

Explainable Image Recognition via Enhanced Slot-attention Based Classifier

Bowen Wang, Hajime Nagahara, Liangzhi Li, 2024, 2407.05616.

DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models

Bowen Wang, Hajime Nagahara, Guoxin Chen, 2024, 2408.01933.

Revisiting Pixel-Level Contrastive Pre-Training on Scene Images

Mayu Otani, Hajime Nagahara, Yuta Nakashima, 2024, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).