A Context-Aware Movie Preference Model Using a Bayesian Network for Recommendation and Promotion. - Chihiro Ono; Mori Kurokawa; Yoichi Motomura; Hideki Asoh (User Modeling, 2007)

Averaged Naive Bayes Trees: A New Extension of AODE. - Mori Kurokawa; Hiroyuki Yokoyama; Akito Sakurai (ACML, 2009)

Spatiotemporal route estimation consistent with human mobility using cellular network data. - Hiroshi Kanasugi; Yoshihide Sekimoto; Mori Kurokawa; Takafumi Watanabe; Shigeki Muramatsu; Ryosuke Shibasaki (PerCom Workshops, 2013)

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)

Explainable Knowledge Reasoning Framework Using Multiple Knowledge Graph Embedding. - Mori Kurokawa (IJCKG, 2021)

An Empirical Study on News Recommendation in Multiple Domain Settings. - Shuichiro Haruta; Mori Kurokawa (MobiQuitous, 2021)

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)

Does Activeness Originate in Individuals or Groups? Analysis of the Interrelationships between Network Indices and Posts Using Multilevel Cross-Lagged Model. - Kenta Tsukatsune; Tatsuya Konishi; Yuto Mizutani; Mori Kurokawa; Shuichiro Haruta; Tomoaki Saito (WI/IAT (Workshop/Special Session), 2021)

A Novel Graph Aggregation Method Based on Feature Distribution Around Each Ego-node for Heterophily. - Shuichiro Haruta; Tatsuya Konishi; Mori Kurokawa (ACML, 2022)

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)

Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. - Tatsuya Konishi; Mori Kurokawa; Chihiro Ono; Zixuan Ke; Gyuhak Kim; Bing Liu 001 (PAKDD (1), 2022)

Evaluating Variational Quantum Circuit Designs for Knowledge Graph Completion. - Mori Kurokawa; Pulak Ranjan Giri; Kazuhiro Saito (QCE, 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)

CG-GNN: A Novel Compiled Graphs-based Feature Extraction Method for Enterprise Social Networks. - Tatsuya Konishi; Shuichiro Haruta; Mori Kurokawa; Kenta Tsukatsune; Yuto Mizutani; Tomoaki Saito; Hideki Asoh; Chihiro Ono (ICDAR@ICMR, 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)

Parameter-Level Soft-Masking for Continual Learning. - Tatsuya Konishi; Mori Kurokawa; Chihiro Ono; Zixuan Ke; Gyuhak Kim; Bing Liu 001 (ICML, 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)

Quantum Negative Sampling Strategy for Knowledge Graph Embedding with Variational Circuit. - Pulak Ranjan Giri; Mori Kurokawa; Kazuhiro Saito (QCE, 2023)

QWalkVec: Node Embedding by Quantum Walk. - Rei Sato; Shuichiro Haruta; Kazuhiro Saito; Mori Kurokawa (PAKDD (1), 2024)

Fast Variational Knowledge Graph Embedding. - Pulak Ranjan Giri; Mori Kurokawa; Kazuhiro Saito (QCE, 2024)

Representing the Interaction between Users and Products via LLM-assisted Knowledge Graph Construction. - Julio Vizcarra; Shuichiro Haruta; Mori Kurokawa (ICSC, 2024)

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)

Multi-object event graph representation learning for Video Question Answering. - Yanan Wang 002; Shuichiro Haruta; Donghuo Zeng; Julio Vizcarra; Mori Kurokawa (CoRR, 2024)

Top-down Activity Representation Learning for Video Question Answering. - Yanan Wang 002; Shuichiro Haruta; Donghuo Zeng; Julio Vizcarra; Mori Kurokawa (CoRR, 2024)

CoTasks: Chain-of-Thought based Video Instruction Tuning Tasks. - Yanan Wang; Julio Vizcarra; Zhi Li; Hao Niu 001; Mori Kurokawa (CoRR, 2025)