Acquiring Expected Influence Curve from Single Diffusion Sequence. - Yuya Yoshikawa; Kazumi Saito; Hiroshi Motoda; Kouzou Ohara; Masahiro Kimura (PKAW, 2010)

Latent Support Measure Machines for Bag-of-Words Data Classification. - Yuya Yoshikawa; Tomoharu Iwata; Hiroshi Sawada (NIPS, 2014)

Collaboration on Social Media: Analyzing Successful Projects on Social Coding. - Yuya Yoshikawa; Tomoharu Iwata; Hiroshi Sawada (CoRR, 2014)

Non-Linear Regression for Bag-of-Words Data via Gaussian Process Latent Variable Set Model. - Yuya Yoshikawa; Tomoharu Iwata; Hiroshi Sawada (AAAI, 2015)

Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions. - Yuya Yoshikawa; Tomoharu Iwata; Hiroshi Sawada; Takeshi Yamada (NIPS, 2015)

STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset. - Yuya Yoshikawa; Yutaro Shigeto; Akikazu Takeuchi (ACL (2), 2017)

Learning from Noisy Label Distributions. - Yuya Yoshikawa (ICANN (2), 2017)

A Nonparametric Delayed Feedback Model for Conversion Rate Prediction. - Yuya Yoshikawa; Yusaku Imai (CoRR, 2018)

STAIR Actions: A Video Dataset of Everyday Home Actions. - Yuya Yoshikawa; Jiaqing Lin; Akikazu Takeuchi (CoRR, 2018)

Video Caption Dataset for Describing Human Actions in Japanese. - Yutaro Shigeto; Yuya Yoshikawa; Jiaqing Lin; Akikazu Takeuchi (LREC, 2020)

Gaussian Process Regression with Local Explanation. - Yuya Yoshikawa; Tomoharu Iwata (CoRR, 2020)

Training Deep Models to be Explained with Fewer Examples. - Tomoharu Iwata; Yuya Yoshikawa (CoRR, 2021)

MetaVD: A Meta Video Dataset for enhancing human action recognition datasets. - Yuya Yoshikawa; Yutaro Shigeto; Akikazu Takeuchi (Comput. Vis. Image Underst., 2021)

Neural generators of sparse local linear models for achieving both accuracy and interpretability. - Yuya Yoshikawa; Tomoharu Iwata (Inf. Fusion, 2022)

Learning Decorrelated Representations Efficiently Using Fast Fourier Transform. - Yutaro Shigeto; Masashi Shimbo; Yuya Yoshikawa; Akikazu Takeuchi (CVPR, 2023)

Towards Semantic Data Management of Visual Computing Datasets: Increasing Usability of MetaVD. - Yasunori Yamamoto; Shusaku Egami; Yuya Yoshikawa; Ken Fukuda (ISWC (Posters/Demos/Industry), 2023)

Action class relation detection and classification across multiple video datasets. - Yuya Yoshikawa; Yutaro Shigeto; Masashi Shimbo; Akikazu Takeuchi (Pattern Recognit. Lett., 2023)

Gaussian Process Regression With Interpretable Sample-Wise Feature Weights. - Yuya Yoshikawa; Tomoharu Iwata (IEEE Trans. Neural Networks Learn. Syst., 2023)

Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers. - Yuya Yoshikawa; Tomoharu Iwata (AISTATS, 2024)

Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property. - Yuya Yoshikawa; Masanari Kimura; Ryotaro Shimizu; Yuki Saito 002 (CoRR, 2024)

Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation. - Ryotaro Shimizu; Takashi Wada 001; Yu Wang 170; Johannes Kruse 002; Sean O'Brien; Sai Htaung Kham; Linxin Song; Yuya Yoshikawa; Yuki Saito 002; Fugee Tsung; Masayuki Goto; Julian J. McAuley (WWW, 2025)

Transferring Visual Explainability of Self-Explaining Models through Task Arithmetic. - Yuya Yoshikawa; Ryotaro Shimizu; Takahiro Kawashima; Yuki Saito 002 (CoRR, 2025)