Kei Yonekawa

According to our database, Kei Yonekawa authored at least 20 papers between 2018 and 2024.

Collaborative distances:

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

2024

Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations.

Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023

An Effective and Efficient Self-Attention Based Model for Next POI Recommendation.

Qingxin Xia, Takahiro Hara, Takuya Maekawa, Mori Kurokawa, Kei Yonekawa

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations.

Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

User-irrelevant Cross-domain Association Analysis for Cross-domain Recommendation with Transfer Learning.

Hao Niu, Duc V. Nguyen, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara

Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, 2023

Unvisited Out-Of-Town POI Recommendation with Simultaneous Learning of Multiple Regions.

Rikuto Tsubouchi, Takahiro Hara, Kei Yonekawa, Shuichiro Haruta

Proceedings of the IEEE International Conference on Big Data, 2023

2022

HML4Rec: Hierarchical meta-learning for cold-start recommendation in flash sale e-commerce.

Zhi Li, Daichi Amagata, Yihong Zhang, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Mori Kurokawa

Knowl. Based Syst., 2022

Unsupervised Learning of Domain-Independent User Attributes.

Yuichi Ishikawa, Roberto Legaspi, Kei Yonekawa, Yugo Nakamura, Shigemi Ishida, Tsunenori Mine, Yutaka Arakawa

IEEE Access, 2022

Multi-view Contrastive Multiple Knowledge Graph Embedding for Knowledge Completion.

Mori Kurokawa, Kei Yonekawa, Shuichiro Haruta, Tatsuya Konishi, Hideki Asoh, Chihiro Ono, Masafumi Hagiwara

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations.

Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa

Proceedings of the IEEE International Conference on Big Data, 2022

RIDEN: Neural-based Uniform Density Histogram for Distribution Shift Detection.

Kei Yonekawa, Kazuhiro Saito, Mori Kurokawa

Proceedings of the Second International Conference on AI-ML Systems, 2022

2021

A Study on Metrics for Concept Drift Detection Based on Predictions and Parameters of Ensemble Model.

Kei Yonekawa, Shuichiro Haruta, Tatsuya Konishi, Kazuhiro Saito, Hideki Asoh, Mori Kurokawa

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2021

Concept Drift Detection with Denoising Autoencoder in Incomplete Data.

Jun Murao, Kei Yonekawa, Mori Kurokawa, Daichi Amagata, Takuya Maekawa, Takahiro Hara

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2021

2020

Multi-source Transfer Learning for Human Activity Recognition in Smart Homes.

Hao Niu, Duc Nguyen, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara

Proceedings of the IEEE International Conference on Smart Computing, 2020

On the Transferability of Deep Neural Networks for Recommender System.

Duc Nguyen, Hao Niu, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020), 2020

2019

Preliminary Investigation of Alleviating User Cold-Start Problem in E-commerce with Deep Cross-Domain Recommender System.

Hanxin Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Behavior Matching between Different Domains based on Canonical Correlation Analysis.

Yuan Lyu, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting.

Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction.

Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR.

Yujin Tang, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Virtual Touch-Point: Trans-Domain Behavioral Targeting via Transfer Learning.

Mori Kurokawa, Hao Niu, Kei Yonekawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018