Satoshi Asamizu

According to our database, Satoshi Asamizu authored at least 15 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2024

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, May, 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

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

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, October, 2023

Proficiency-level Estimation Using Heterogeneous Features via Label Dequantized CCA.

Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama

Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023

Skill Level Classification Using Motion Data via Spatial Temporal Graph Convolutional Network.

Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama

Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

2022

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

2021

Cross-Domain Recommendation Method Based On Multi-Layer Graph Analysis With Visual Information.

Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Analysis of Social Trends Related to COVID-19 Pandemic Utilizing Social Media Data.

Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama

Proceedings of the 10th IEEE Global Conference on Consumer Electronics, 2021

2020

Cross-domain Recommendation via Multi-layer Graph Analysis Using User-item Embedding.

Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama

Proceedings of the 9th IEEE Global Conference on Consumer Electronics, 2020

2019

Estimation of Emotions Evoked by Images Based on Multiple Gaze-based CNN Features.

Taiga Matsui, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama

Proceedings of the IEEE 1st Global Conference on Life Sciences and Technologies, 2019

2018

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, 2018

2017

Human-Centered Video Feature Selection via mRMR-SCMMCCA for Preference Extraction.

Takahiro Ogawa, Yoshiaki Yamaguchi, Satoshi Asamizu, Miki Haseyama

IEICE Trans. Inf. Syst., 2017

2016

A tourism category classification method based on estimation of reliable decision.

Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama

Proceedings of the IEEE 5th Global Conference on Consumer Electronics, 2016

2009

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, 2009