Follow
Yuya Yoshikawa
Yuya Yoshikawa
STAIR Lab, Chiba Institute of Technology
Verified email at stair.center - Homepage
Title
Cited by
Cited by
Year
STAIR captions: Constructing a large-scale Japanese image caption dataset
Y Yoshikawa, Y Shigeto, A Takeuchi
arXiv preprint arXiv:1705.00823, 2017
1342017
Latent support measure machines for bag-of-words data classification
Y Yoshikawa, T Iwata, H Sawada
Advances in neural information processing systems 27, 2014
422014
Stair actions: A video dataset of everyday home actions
Y Yoshikawa, J Lin, A Takeuchi
arXiv preprint arXiv:1804.04326, 2018
412018
A nonparametric delayed feedback model for conversion rate prediction
Y Yoshikawa, Y Imai
arXiv preprint arXiv:1802.00255, 2018
412018
Non-linear regression for bag-of-words data via gaussian process latent variable set model
Y Yoshikawa, T Iwata, H Sawada
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
132015
Collaboration on social media: Analyzing successful projects on social coding
Y Yoshikawa, T Iwata, H Sawada
arXiv preprint arXiv:1408.6012, 2014
132014
Cross-domain matching for bag-of-words data via kernel embeddings of latent distributions
Y Yoshikawa, T Iwata, H Sawada, T Yamada
Advances in Neural Information Processing Systems 28, 2015
102015
情報拡散モデルに基づくソーシャルネットワーク上でのノードの期待影響度曲線推定法
吉川友也, 斉藤和巳, 元田浩, 大原剛三, 木村昌弘
電子情報通信学会論文誌 D 94 (11), 1899-1908, 2011
102011
Metavd: A meta video dataset for enhancing human action recognition datasets
Y Yoshikawa, Y Shigeto, A Takeuchi
Computer Vision and Image Understanding 212, 103276, 2021
92021
Gaussian process regression with interpretable sample-wise feature weights
Y Yoshikawa, T Iwata
IEEE Transactions on Neural Networks and Learning Systems 34 (9), 5789-5803, 2021
82021
Neural generators of sparse local linear models for achieving both accuracy and interpretability
Y Yoshikawa, T Iwata
Information Fusion 81, 116-128, 2022
72022
Gaussian process regression with local explanation
Y Yoshikawa, T Iwata
arXiv preprint arXiv:2007.01669, 2020
52020
Acquiring expected influence curve from single diffusion sequence
Y Yoshikawa, K Saito, H Motoda, K Ohara, M Kimura
Knowledge Management and Acquisition for Smart Systems and Services: 11th …, 2010
42010
ユーザの潜在特徴を考慮したソーシャルネットワーク上の情報拡散モデル
吉川友也, 岩田具治, 澤田宏
情報処理学会論文誌データベース (TOD) 6 (5), 85-94, 2013
32013
Video caption dataset for describing human actions in Japanese
Y Shigeto, Y Yoshikawa, J Lin, A Takeuchi
arXiv preprint arXiv:2003.04865, 2020
22020
STAIRCaptions: 大規模日本語画像キャプションデータセット, 言語処理学会 第 23 回年次大会 発表論文集
吉川友也, 重藤優太郎, 竹内彰一
22017
Training Deep Models to be Explained with Fewer Examples
T Iwata, Y Yoshikawa
arXiv preprint arXiv:2112.03508, 2021
12021
家庭やオフィス内の動作認識用大規模動画データセットの構築
吉川友也, 竹内彰一
人工知能学会全国大会論文集 第 31 回 (2017), 3M24-3M24, 2017
12017
Latent Feature Independent Cascade Model for Social Propagation
Y Yoshikawa, T Iwata, H Sawada
Proceedings of the International Conference on Parallel and Distributed …, 2013
12013
拡散データからのモデル推定による期待影響度の予測
吉川友也, 斉藤和巳, 元田浩, 木村昌弘, 大原剛三
全国大会講演論文集, 435-436, 2010
12010
The system can't perform the operation now. Try again later.
Articles 1–20