Visual explanation of neural network based rotation machinery anomaly detection system. - Mao Saeki; Jun Ogata; Masahiro Murakawa; Tetsuji Ogawa (ICPHM, 2019)

A WoZ Study for an Incremental Proficiency Scoring Interview Agent Eliciting Ratable Samples. - Mao Saeki; Weronika Demkow; Tetsunori Kobayashi; Yoichi Matsuyama (IWSDS, 2021)

Analysis of Multimodal Features for Speaking Proficiency Scoring in an Interview Dialogue. - Mao Saeki; Yoichi Matsuyama; Satoshi Kobashikawa; Tetsuji Ogawa; Tetsunori Kobayashi (SLT, 2021)

Confusion Detection for Adaptive Conversational Strategies of An Oral Proficiency Assessment Interview Agent. - Mao Saeki; Kotoka Miyagi; Shinya Fujie; Shungo Suzuki; Tetsuji Ogawa; Tetsunori Kobayashi; Yoichi Matsuyama (INTERSPEECH, 2022)

Multimodal Turn-Taking Model Using Visual Cues for End-of-Utterance Prediction in Spoken Dialogue Systems. - Fuma Kurata; Mao Saeki; Shinya Fujie; Yoichi Matsuyama (INTERSPEECH, 2023)

InteLLA: Intelligent Language Learning Assistant for Assessing Language Proficiency through Interviews and Roleplays. - Mao Saeki; Hiroaki Takatsu; Fuma Kurata; Shungo Suzuki; Masaki Eguchi; Ryuki Matsuura; Kotaro Takizawa; Sadahiro Yoshikawa; Yoichi Matsuyama (SIGDIAL, 2024)

Development and Validation of Engagement and Rapport Scales for Evaluating User Experience in Multimodal Dialogue Systems. - Fuma Kurata; Mao Saeki; Masaki Eguchi; Shungo Suzuki; Hiroaki Takatsu; Yoichi Matsuyama (CoRR, 2025)

Gnowsis: Multimodal multitask learning for oral proficiency assessments. - Hiroaki Takatsu; Shungo Suzuki; Masaki Eguchi; Ryuki Matsuura; Mao Saeki; Yoichi Matsuyama (Comput. Speech Lang., 2026)