Predictable Uncertainty-Aware Unsupervised Deep Anomaly Segmentation. - Kazuki Sato; Kenta Hama; Takashi Matsubara 001; Kuniaki Uehara (IJCNN, 2019)

Exploring Uncertainty Measures for Image-caption Embedding-and-retrieval Task. - Kenta Hama; Takashi Matsubara 001; Kuniaki Uehara; Jianfei Cai 001 (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Deep Generative Model Using Unregularized Score for Anomaly Detection With Heterogeneous Complexity. - Takashi Matsubara 001; Kazuki Sato; Kenta Hama; Ryosuke Tachibana; Kuniaki Uehara (IEEE Trans. Cybern., 2022)

Learning User Embeddings with Generating Context of Posted Social Network Service Texts. - Atsushi Otsuka; Kenta Hama; Narichika Nomoto; Ryo Ishii; Atsushi Fukayama; Takao Nakamura (HCI (15), 2023)

Multi-Modal Entity Alignment Using Uncertainty Quantification for Modality Importance. - Kenta Hama; Takashi Matsubara 001 (IEEE Access, 2023)

Emotion Recognition in Conversation with Multi-step Prompting Using Large Language Model. - Kenta Hama; Atsushi Otsuka; Ryo Ishii (HCI (20), 2024)