Virtual Touch-Point: Trans-Domain Behavioral Targeting via Transfer Learning. - Mori Kurokawa; Hao Niu 001; Kei Yonekawa; Arei Kobayashi; Daichi Amagata; Takuya Maekawa; Takahiro Hara (IEEE BigData, 2018)

Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR. - Yujin Tang; Kei Yonekawa; Mori Kurokawa; Shinya Wada; Kiyohito Yoshihara (PAKDD (3), 2018)

Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction. - Kei Yonekawa; Hao Niu 001; Mori Kurokawa; Arei Kobayashi; Daichi Amagata; Takuya Maekawa; Takahiro Hara (IEEE BigData, 2019)

A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting. - Kei Yonekawa; Hao Niu 001; Mori Kurokawa; Arei Kobayashi; Daichi Amagata; Takuya Maekawa; Takahiro Hara (PAKDD (Workshops), 2019)

Behavior Matching between Different Domains based on Canonical Correlation Analysis. - Yuan Lyu; Daichi Amagata; Takuya Maekawa; Takahiro Hara; Hao Niu 001; Kei Yonekawa; Mori Kurokawa (WWW (Companion Volume), 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 001; Kei Yonekawa; Mori Kurokawa (WWW (Companion Volume), 2019)

On the Transferability of Deep Neural Networks for Recommender System. - Duc Nguyen 001; Hao Niu 001; Kei Yonekawa; Mori Kurokawa; Chihiro Ono; Daichi Amagata; Takuya Maekawa; Takahiro Hara (IAL@PKDD/ECML, 2020)

Multi-source Transfer Learning for Human Activity Recognition in Smart Homes. - Hao Niu 001; Duc Nguyen 001; Kei Yonekawa; Mori Kurokawa; Shinya Wada; Kiyohito Yoshihara (SMARTCOMP, 2020)

Concept Drift Detection with Denoising Autoencoder in Incomplete Data. - Jun Murao; Kei Yonekawa; Mori Kurokawa; Daichi Amagata; Takuya Maekawa; Takahiro Hara (MobiQuitous, 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 (MobiQuitous, 2021)

RIDEN: Neural-based Uniform Density Histogram for Distribution Shift Detection. - Kei Yonekawa; Kazuhiro Saito; Mori Kurokawa (AIMLSystems, 2022)

Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations. - Zhi Li 084; Daichi Amagata; Yihong Zhang 001; Takahiro Hara; Shuichiro Haruta; Kei Yonekawa; Mori Kurokawa (IEEE Big Data, 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 (ICMLA, 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)

HML4Rec: Hierarchical meta-learning for cold-start recommendation in flash sale e-commerce. - Zhi Li 084; Daichi Amagata; Yihong Zhang 001; Takuya Maekawa; Takahiro Hara; Kei Yonekawa; Mori Kurokawa (Knowl. Based Syst., 2022)

Unvisited Out-Of-Town POI Recommendation with Simultaneous Learning of Multiple Regions. - Rikuto Tsubouchi; Takahiro Hara; Kei Yonekawa; Shuichiro Haruta (IEEE Big Data, 2023)

User-irrelevant Cross-domain Association Analysis for Cross-domain Recommendation with Transfer Learning. - Hao Niu 001; Duc V. Nguyen 001; Kei Yonekawa; Mori Kurokawa; Chihiro Ono; Daichi Amagata; Takuya Maekawa; Takahiro Hara (ICDAR@ICMR, 2023)

Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations. - Zhi Li 084; Daichi Amagata; Yihong Zhang 001; Takahiro Hara; Shuichiro Haruta; Kei Yonekawa; Mori Kurokawa (PAKDD (3), 2023)

An Effective and Efficient Self-Attention Based Model for Next POI Recommendation. - Qingxin Xia; Takahiro Hara; Takuya Maekawa; Mori Kurokawa; Kei Yonekawa (PerCom Workshops, 2023)

Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations. - Zhi Li 084; Daichi Amagata; Yihong Zhang 001; Takahiro Hara; Shuichiro Haruta; Kei Yonekawa; Mori Kurokawa (SIGIR, 2024)