Expert-Novice Level Classification Using Graph Convolutional Network Introducing Confidence-Aware Node-Level Attention Mechanism - Tatsuki Seino; Naoki Saito; Takahiro Ogawa; Satoshi Asamizu; Miki Haseyama (Sensors, 2024)

Confidence-Aware Spatial-Temporal Attention Graph Convolutional Network for Skeleton-Based Expert-Novice Level Classification - Tatsuki Seino; Naoki Saito; Takahiro Ogawa; Satoshi Asamizu; Miki Haseyama (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, 2024)

Visual Emotion Recognition Through Multimodal Cyclic-Label Dequantized Gaussian Process Latent Variable Model - Naoki Saito; Keisuke Maeda; Takahiro Ogawa; Satoshi Asamizu; Miki Haseyama (J. Robotics Mechatronics, 2023)

Skill Level Classification Using Motion Data via Spatial Temporal Graph Convolutional Network - Tatsuki Seino; Naoki Saito; Takahiro Ogawa; Satoshi Asamizu; Miki Haseyama (12th IEEE Global Conference on Consumer Electronics, GCCE 2023, Nara, Japan, October 10-13, 2023, 2023)

Proficiency-level Estimation Using Heterogeneous Features via Label Dequantized CCA - Tatsuki Seino; Naoki Saito; Takahiro Ogawa; Satoshi Asamizu; Miki Haseyama (International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023, PingTung, Taiwan, July 17-19, 2023, 2023)

Refining Graph Representation for Cross-Domain Recommendation Based on Edge Pruning in Latent Space - Taisei Hirakawa; Keisuke Maeda; Takahiro Ogawa; Satoshi Asamizu; Miki Haseyama (IEEE Access, 2022)

Analysis of Social Trends Related to COVID-19 Pandemic Utilizing Social Media Data - Taisei Hirakawa; Keisuke Maeda; Takahiro Ogawa; Satoshi Asamizu; Miki Haseyama (10th IEEE Global Conference on Consumer Electronics, GCCE 2021, Kyoto, Japan, October 12-15, 2021, 2021)

Cross-Domain Recommendation Method Based On Multi-Layer Graph Analysis With Visual Information - Taisei Hirakawa; Keisuke Maeda; Takahiro Ogawa; Satoshi Asamizu; Miki Haseyama (2021 IEEE International Conference on Image Processing, ICIP 2021, Anchorage, AK, USA, September 19-22, 2021, 2021)

Cross-domain Recommendation via Multi-layer Graph Analysis Using User-item Embedding - Taisei Hirakawa; Keisuke Maeda; Takahiro Ogawa; Satoshi Asamizu; Miki Haseyama (9th IEEE Global Conference on Consumer Electronics, GCCE 2020, Kobe, Japan, October 13-16, 2020, 2020)

Estimation of Emotions Evoked by Images Based on Multiple Gaze-based CNN Features - Taiga Matsui; Naoki Saito; Takahiro Ogawa; Satoshi Asamizu; Miki Haseyama (IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019, Osaka, Japan, March 12-14, 2019, 2019)

Tourism Category Classification on Image Sharing Services Through Estimation of Existence of Reliable Results - Naoki Saito; Takahiro Ogawa; Satoshi Asamizu; Miki Haseyama (Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, ICMR 2018, Yokohama, Japan, June 11-14, 2018, 2018)

Human-Centered Video Feature Selection via mRMR-SCMMCCA for Preference Extraction - Takahiro Ogawa; Yoshiaki Yamaguchi; Satoshi Asamizu; Miki Haseyama (IEICE Trans. Inf. Syst., 2017)

A tourism category classification method based on estimation of reliable decision - Naoki Saito; Takahiro Ogawa; Satoshi Asamizu; Miki Haseyama (IEEE 5th Global Conference on Consumer Electronics, GCCE 2016, Kyoto, Japan, October 11-14, 2016, 2016)

A Novel Video Retrieval Method Based on Web Community Extraction Using Features of Video Materials - Yasutaka Hatakeyama; Takahiro Ogawa; Satoshi Asamizu; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

A Web community-based video retrieval method using canonical correlation analysis - Yasutaka Hatakeyama; Takahiro Ogawa; Satoshi Asamizu; Miki Haseyama (Proceedings of the International Conference on Image Processing, ICIP 2009, 7-10 November 2009, Cairo, Egypt, 2009)