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2020 – today
- 2024
[j5]Tatsuki Seino
, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Expert-Novice Level Classification Using Graph Convolutional Network Introducing Confidence-Aware Node-Level Attention Mechanism. Sensors 24(10): 3033 (2024)- [c10]Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Confidence-Aware Spatial-Temporal Attention Graph Convolutional Network for Skeleton-Based Expert-Novice Level Classification. ICASSP 2024: 1796-1800 - 2023
- [j4]Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Visual Emotion Recognition Through Multimodal Cyclic-Label Dequantized Gaussian Process Latent Variable Model. J. Robotics Mechatronics 35(5): 1321-1330 (2023) - [c9]Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Skill Level Classification Using Motion Data via Spatial Temporal Graph Convolutional Network. GCCE 2023: 243-244 - [c8]Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Proficiency-level Estimation Using Heterogeneous Features via Label Dequantized CCA. ICCE-Taiwan 2023: 813-814 - 2022
- [j3]Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Refining Graph Representation for Cross-Domain Recommendation Based on Edge Pruning in Latent Space. IEEE Access 10: 12503-12509 (2022) - 2021
- [c7]Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Analysis of Social Trends Related to COVID-19 Pandemic Utilizing Social Media Data. GCCE 2021: 43-44 - [c6]Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Cross-Domain Recommendation Method Based On Multi-Layer Graph Analysis With Visual Information. ICIP 2021: 2688-2692 - 2020
- [c5]Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Cross-domain Recommendation via Multi-layer Graph Analysis Using User-item Embedding. GCCE 2020: 714-715
2010 – 2019
- 2019
- [c4]Taiga Matsui, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Estimation of Emotions Evoked by Images Based on Multiple Gaze-based CNN Features. LifeTech 2019: 194-195 - 2018
- [c3]Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Tourism Category Classification on Image Sharing Services Through Estimation of Existence of Reliable Results. ICMR 2018: 493-496 - 2017
- [j2]Takahiro Ogawa, Yoshiaki Yamaguchi, Satoshi Asamizu, Miki Haseyama:
Human-Centered Video Feature Selection via mRMR-SCMMCCA for Preference Extraction. IEICE Trans. Inf. Syst. 100-D(2): 409-412 (2017) - 2016
- [c2]Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
A tourism category classification method based on estimation of reliable decision. GCCE 2016: 1-2
2000 – 2009
- 2009
- [j1]Yasutaka Hatakeyama, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
A Novel Video Retrieval Method Based on Web Community Extraction Using Features of Video Materials. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(8): 1961-1969 (2009) - [c1]Yasutaka Hatakeyama, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
A Web community-based video retrieval method using canonical correlation analysis. ICIP 2009: 805-808
Coauthor Index
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