Showing results 2 to 11 of 11
Click-aware purchase prediction with push at the top Park, Chanyoung; Kim, Donghyun; Yang, Min-Chul; Lee, Jung-Tae; Yu, Hwanjo, INFORMATION SCIENCES, v.521, pp.350 - 364, 2020-06 |
Deep hybrid recommender systems via exploiting document context and statistics of items Kim, Donghyun; Park, Chanyoung; Oh, Jinoh; Yu, Hwanjo, INFORMATION SCIENCES, v.417, pp.72 - 87, 2017-11 |
Deep multiplex graph infomax: Attentive multiplex network embedding using global information Park, Chanyoung; Han, Jiawei; Yu, Hwanjo, KNOWLEDGE-BASED SYSTEMS, v.197, 2020-06 |
Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning Lee, Junseok; Kim, Sungwon; Hyun, Dongmin; Lee, Namkyeong; Kim, Yejin; Park, Chanyoung, BIOINFORMATICS, v.39, no.6, 2023-06 |
IMIPMF: Inferring miRNA-disease interactions using probabilistic matrix factorization Ha, Jihwan; Park, Chihyun; Park, Chanyoung; Park, Sanghyun, JOURNAL OF BIOMEDICAL INFORMATICS, v.102, 2020-02 |
Improved Prediction of miRNA-Disease Associations Based on Matrix Completion with Network Regularization Ha, Jihwan; Park, Chihyun; Park, Chanyoung; Park, Sanghyun, CELLS, v.9, no.4, 2020-04 |
Improving top-K recommendation with truster and trustee relationship in user trust network Park, Chanyoung; Kim, Donghyun; Oh, Jinoh; Yu, Hwanjo, INFORMATION SCIENCES, v.374, pp.100 - 114, 2016-12 |
Learning to utilize auxiliary reviews for recommendation Hyun, Dongmin; Park, Chanyoung; Cho, Junsu; Yu, Hwanjo, INFORMATION SCIENCES, v.545, pp.595 - 607, 2021-02 |
Self-supervised graph representation learning via positive mining Lee, Namkyeong; Lee, Junseok; Park, Chanyoung, INFORMATION SCIENCES, v.611, pp.476 - 493, 2022-09 |
Target-aware convolutional neural network for target-level sentiment analysis Hyun, Dongmin; Park, Chanyoung; Yang, Min-Chul; Song, Ilhyeon; Lee, Jung-Tae; Yu, Hwanjo, INFORMATION SCIENCES, v.491, pp.166 - 178, 2019-07 |
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