Kei Yonekawa
Kei Yonekawa
KDDI Research, Inc.
Verified email at kddi-research.jp
Title
Cited by
Cited by
Year
A DNN-Based Cross-Domain Recommender System for Alleviating Cold-Start Problem in E-Commerce
H Wang, D Amagata, T Makeawa, T Hara, N Hao, K Yonekawa, ...
IEEE Open Journal of the Industrial Electronics Society 1, 194-206, 2020
82020
Preliminary investigation of alleviating user cold-start problem in e-commerce with deep cross-domain recommender system
H Wang, D Amagata, T Maekawa, T Hara, H Niu, K Yonekawa, ...
Companion Proceedings of The 2019 World Wide Web Conference, 398-403, 2019
72019
A heterogeneous domain adversarial neural network for trans-domain behavioral targeting
K Yonekawa, H Niu, M Kurokawa, A Kobayashi, D Amagata, T Maekawa, ...
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 274-285, 2019
12019
Transferable representation learning for human activity recognition in smart homes
H Niu, K Yonekawa, M Kurokawa, S Wada, K Yoshihara
ACML-TAB, 2019
12019
Virtual touch-point: trans-domain behavioral targeting via transfer learning
M Kurokawa, H Niu, K Yonekawa, A Kobayashi, D Amagata, T Maekawa, ...
2018 IEEE International Conference on Big Data (Big Data), 4762-4767, 2018
12018
Transfer Learning Among Time Series Data
H Niu, K Yonekawa, M Kurokawa, A Kobayashi
IEICE Technical Report; IEICE Tech. Rep. 118 (284), 425-428, 2018
12018
The design and implementation of power service discovery system in distributed generation environment
K Yonekawa, S Ishida, M Suzuki, H Morikawa
2012 International Conference on Renewable Energy Research and Applications …, 2012
12012
Multi-source Transfer Learning for Human Activity Recognition in Smart Homes
H Niu, D Nguyen, K Yonekawa, M Kurokawa, S Wada, K Yoshihara
2020 IEEE International Conference on Smart Computing (SMARTCOMP), 274-277, 2020
2020
On the Transferability of Deep Neural Networks for Recommender System.
D Nguyen, H Niu, K Yonekawa, M Kurokawa, C Ono, D Amagata, ...
IAL@ PKDD/ECML, 22-37, 2020
2020
Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction
K Yonekawa, H Niu, M Kurokawa, A Kobayashi, D Amagata, T Maekawa, ...
2019 IEEE International Conference on Big Data (Big Data), 5611-5619, 2019
2019
Behavior Matching between Different Domains based on Canonical Correlation Analysis
Y Lyu, D Amagata, T Maekawa, T Hara, H Niu, K Yonekawa, M Kurokawa
Companion Proceedings of The 2019 World Wide Web Conference, 361-366, 2019
2019
Deep Transfer Learning of Indoor Human Activity Recognition Across Households
H Niu, K Yonekawa, M Kurokawa, S Wada, K Yoshihara
IEICE Conferences Archives, 2019
2019
ドメイン敵対的訓練を用いた半教師あり異種転移可能表現学習におけるmixupの効果
米川慧, 牛コウ, 黒川茂莉, 小林亜令
電子情報通信学会技術研究報告 118 (284), 435-440, 2018
2018
Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR
Y Tang, K Yonekawa, M Kurokawa, S Wada, K Yoshihara
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 322-334, 2018
2018
半教師あり非負値行列因子分解を用いた二項分類向け転移学習の評価
米川慧, 黒川茂莉, 村松茂樹, 小林亜令
研究報告情報基礎とアクセス技術 (IFAT) 2017 (2), 1-7, 2017
2017
KDD Cup 2015: 3. メンバの技術的バックグラウンドの多様性を活かした組織的データ分析
米川慧, 秋山卓也
情報処理 57 (2), 160-161, 2016
2016
B-9-10 高速デマンドレスポンスに向けた需要家デバイスの状態管理機構の設計と評価 (B-9. 電子通信エネルギー技術, 一般セッション)
米川慧, 岩元啓, 鈴木誠, 森川博之
電子情報通信学会総合大会講演論文集 2014 (2), 358, 2014
2014
BS-4-2 多様なサービス電力の発見・割当て・制御機構 (BS-4. スマートコミュニテイ実現に向けたネットワーク技術, シンポジウムセッション)
中嶋毅彰, 米川慧, 石田繁巳, 鈴木誠, 森川博之
電子情報通信学会総合大会講演論文集 2012 (2), 2012
2012
Exploiting Cross-Domain Sequence Data for Cross-Domain Recommendation
H NIU, K YONEKAWA, M KUROKAWA, C ONO, D AMAGATA, ...
Trends Tracking Memory Recommender Networks for Product Recommendations in E-commerce
Z LI, B GAO, D AMAGATA, T MAEKAWA, T HARA, H NIU, K YONEKAWA, ...
The system can't perform the operation now. Try again later.
Articles 1–20