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to 10 of 1358 (Search time: 0.0 seconds).
An Approximation Method for Semi-Supervised Learning for Multi-Layered Networks
김명준
2017-08
The Graduate School, Ajou University
Semi-Supervised Learning for Hierarchical Networks
김명준
2021-08
The Graduate School, Ajou University
Semi-supervised learning for hierarchically structured networks
Kim, Myungjun;
Lee, Dong gi;
Shin, Hyunjung
2019-11-01
Pattern Recognition, Vol.95, pp.191-200
Elsevier Ltd
Historical inference based on semi-supervised learning
oa mark
Lee, Dong gi;
Lee, Sangkuk
;
Kim, Myungjun;
Shin, Hyunjung
2018-09-15
Expert Systems with Applications, Vol.106, pp.121-131
Elsevier Ltd
Semantic and explainable research-related recommendation system based on semi-supervised methodology using BERT and LDA models
Yang, Nakyeong;
Jo, Jeongje;
Jeon, Myeongjun;
Kim, Wooju;
Kang, Juyoung
2022-03-15
Expert Systems with Applications, Vol.190
Elsevier Ltd
OIL PRICE PREDICTION BASED ON DATA MINING TECHNIQUES: SEMI-SUPERVISED LEARNING WITH PCA AND NLPCA
Hou, Tianya
2009-08
The Graduate School, Ajou University
Network based Enterprise Profiling with Semi-Supervised Learning
Park, Sunghong;
Park, Kanghee;
Shin, Hyunjung
2024-03-15
Expert Systems with Applications, Vol.238
Elsevier Ltd
Comorbidity scoring with causal disease networks
Jhee, Jong Ho;
Bang, Sunjoo;
Lee, Dong Gi;
Shin, Hyunjung
2019-09-01
IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol.16, pp.1627-1634
Institute of Electrical and Electronics Engineers Inc.
Drug repurposing with network reinforcement
oa mark
Nam, Yonghyun;
Kim, Myungjun;
Chang, Hang Seok;
Shin, Hyunjung
2019-07-24
BMC Bioinformatics, Vol.20
BioMed Central Ltd.
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