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ORCIDMori Kurokawa
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2020 – today
- 2024
[c31]Rei Sato
, Shuichiro Haruta, Kazuhiro Saito, Mori Kurokawa:
QWalkVec: Node Embedding by Quantum Walk. PAKDD (1) 2024: 93-104- [c30]Julio Vizcarra, Shuichiro Haruta, Mori Kurokawa:
Representing the Interaction between Users and Products via LLM-assisted Knowledge Graph Construction. ICSC 2024: 231-232 - [c29]Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa:
Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations. SIGIR 2024: 2124-2133 - [i4]Yanan Wang, Shuichiro Haruta, Donghuo Zeng, Julio Vizcarra, Mori Kurokawa:
Multi-object event graph representation learning for Video Question Answering. CoRR abs/2409.07747 (2024) - [i3]Yanan Wang, Shuichiro Haruta, Donghuo Zeng, Julio Vizcarra, Mori Kurokawa:
Top-down Activity Representation Learning for Video Question Answering. CoRR abs/2409.07748 (2024) - 2023
- [c28]Tatsuya Konishi, Shuichiro Haruta, Mori Kurokawa, Kenta Tsukatsune, Yuto Mizutani, Tomoaki Saito, Hideki Asoh, Chihiro Ono:
CG-GNN: A Novel Compiled Graphs-based Feature Extraction Method for Enterprise Social Networks. ICDAR@ICMR 2023: 24-31 - [c27]Hao Niu, Duc V. Nguyen, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
User-irrelevant Cross-domain Association Analysis for Cross-domain Recommendation with Transfer Learning. ICDAR@ICMR 2023: 37-45 - [c26]Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu:
Parameter-Level Soft-Masking for Continual Learning. ICML 2023: 17492-17505 - [c25]Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa:
Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations. PAKDD (3) 2023: 271-283 - [c24]Qingxin Xia, Takahiro Hara, Takuya Maekawa, Mori Kurokawa, Kei Yonekawa:
An Effective and Efficient Self-Attention Based Model for Next POI Recommendation. PerCom Workshops 2023: 478-483 - [c23]Pulak Ranjan Giri, Mori Kurokawa, Kazuhiro Saito:
Quantum Negative Sampling Strategy for Knowledge Graph Embedding with Variational Circuit. QCE 2023: 280-281 - [i2]Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu:
Parameter-Level Soft-Masking for Continual Learning. CoRR abs/2306.14775 (2023) - 2022
- [j1]Zhi Li, Daichi Amagata, Yihong Zhang, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Mori Kurokawa:
HML4Rec: Hierarchical meta-learning for cold-start recommendation in flash sale e-commerce. Knowl. Based Syst. 255: 109674 (2022) - [c22]Shuichiro Haruta, Tatsuya Konishi, Mori Kurokawa:
A Novel Graph Aggregation Method Based on Feature Distribution Around Each Ego-node for Heterophily. ACML 2022: 452-466 - [c21]Kei Yonekawa, Kazuhiro Saito, Mori Kurokawa:
RIDEN: Neural-based Uniform Density Histogram for Distribution Shift Detection. AIMLSystems 2022: 13:1-13:9 - [c20]Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa:
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations. IEEE Big Data 2022: 762-769 - [c19]Mori Kurokawa, Kei Yonekawa, Shuichiro Haruta, Tatsuya Konishi, Hideki Asoh, Chihiro Ono, Masafumi Hagiwara:
Multi-view Contrastive Multiple Knowledge Graph Embedding for Knowledge Completion. ICMLA 2022: 1412-1418 - [c18]Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu:
Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. PAKDD (1) 2022: 367-379 - [c17]Mori Kurokawa, Pulak Ranjan Giri, Kazuhiro Saito:
Evaluating Variational Quantum Circuit Designs for Knowledge Graph Completion. QCE 2022: 777-778 - [i1]Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa:
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations. CoRR abs/2211.03390 (2022) - 2021
- [c16]Mori Kurokawa:
Explainable Knowledge Reasoning Framework Using Multiple Knowledge Graph Embedding. IJCKG 2021: 172-176 - [c15]Shuichiro Haruta, Mori Kurokawa:
An Empirical Study on News Recommendation in Multiple Domain Settings. MobiQuitous 2021: 529-540 - [c14]Jun Murao, Kei Yonekawa, Mori Kurokawa, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
Concept Drift Detection with Denoising Autoencoder in Incomplete Data. MobiQuitous 2021: 541-552 - [c13]Kei Yonekawa, Shuichiro Haruta, Tatsuya Konishi, Kazuhiro Saito, Hideki Asoh, Mori Kurokawa:
A Study on Metrics for Concept Drift Detection Based on Predictions and Parameters of Ensemble Model. MobiQuitous 2021: 568-581 - [c12]Kenta Tsukatsune, Tatsuya Konishi, Yuto Mizutani, Mori Kurokawa, Shuichiro Haruta, Tomoaki Saito:
Does Activeness Originate in Individuals or Groups? Analysis of the Interrelationships between Network Indices and Posts Using Multilevel Cross-Lagged Model. WI/IAT (Workshop/Special Session) 2021: 117-125 - 2020
- [c11]Duc Nguyen, Hao Niu, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
On the Transferability of Deep Neural Networks for Recommender System. IAL@PKDD/ECML 2020: 22-37 - [c10]Hao Niu, Duc Nguyen, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara:
Multi-source Transfer Learning for Human Activity Recognition in Smart Homes. SMARTCOMP 2020: 274-277
2010 – 2019
- 2019
- [c9]Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction. IEEE BigData 2019: 5611-5619 - [c8]Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting. PAKDD (Workshops) 2019: 274-285 - [c7]Yuan Lyu, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa:
Behavior Matching between Different Domains based on Canonical Correlation Analysis. WWW (Companion Volume) 2019: 361-366 - [c6]Hanxin Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa:
Preliminary Investigation of Alleviating User Cold-Start Problem in E-commerce with Deep Cross-Domain Recommender System. WWW (Companion Volume) 2019: 398-403 - 2018
- [c5]Mori Kurokawa, Hao Niu, Kei Yonekawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
Virtual Touch-Point: Trans-Domain Behavioral Targeting via Transfer Learning. IEEE BigData 2018: 4762-4767 - [c4]Yujin Tang, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara:
Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR. PAKDD (3) 2018: 322-334 - 2013
- [c3]Hiroshi Kanasugi, Yoshihide Sekimoto, Mori Kurokawa, Takafumi Watanabe, Shigeki Muramatsu, Ryosuke Shibasaki:
Spatiotemporal route estimation consistent with human mobility using cellular network data. PerCom Workshops 2013: 267-272
2000 – 2009
- 2009
- [c2]Mori Kurokawa, Hiroyuki Yokoyama, Akito Sakurai:
Averaged Naive Bayes Trees: A New Extension of AODE. ACML 2009: 191-205 - 2007
- [c1]Chihiro Ono, Mori Kurokawa, Yoichi Motomura, Hideki Asoh:
A Context-Aware Movie Preference Model Using a Bayesian Network for Recommendation and Promotion. User Modeling 2007: 247-257
Coauthor Index
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