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Lee, Yuh-Jye
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1

Federated Learning for Sparse Principal Component Analysis:

, In: 2023 IEEE International Conference on Big Data (BigData),
Ciou, Sin Cheng ; Chen, Pin Jui ; Tseng, Elvin Y.. - p. 1081-1086 , 2023
Link: https://doi.org/10.1109/..
 
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2

Local Precipitation Forecast with LSTM for Greenhouse Envir..:

, In: 2020 International Conference on Pervasive Artificial Intelligence (ICPAI),
Hsieh, Hsing-Chuan ; Chiu, Yi-Wei ; Lin, Yong-Xiang.. - p. 175-182 , 2020
Link: https://doi.org/10.1109/..
 
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3

Distributed Consensus Reduced Support Vector Machine:

, In: 2019 IEEE International Conference on Big Data (Big Data),
Chen, Hsiang-Hsuan ; Lee, Yuh-Jye - p. 5718-5727 , 2019
Link: https://doi.org/10.1109/..
 
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4

Two smooth support vector machines for $$\varepsilon $$ε-in..:

Gu, Weizhe ; Chen, Wei-Po ; Ko, Chun-Hsu..
Computational Optimization and Applications.  70 (2017)  1 - p. 171-199 , 2017
Link: https://doi.org/10.1007/..
 
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5

A study on anomaly detection ensembles:

Chiang, Alvin ; David, Esther ; Lee, Yuh-Jye..
Journal of Applied Logic.  21 (2017)  - p. 1-13 , 2017
Link: https://doi.org/10.1016/..
 
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6

Detecting in-situ identity fraud on social network services..:

, In: Proceedings of the 23rd International Conference on World Wide Web,
Wu, Shan-Hung ; Chou, Man-Ju ; Tseng, Chun-Hsiung.. - p. 401-402 , 2014
Link: https://dl.acm.org/doi/1..
 
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7

A Hierarchical Framework Using Approximated Local Outlier F..:

Xu, Lin ; Yeh, Yi-Ren ; Lee, Yuh-Jye.
Procedia Computer Science.  19 (2013)  - p. 1174-1181 , 2013
Link: https://doi.org/10.1016/..
 
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8

Anomaly detection on ITS data via view association:

, In: Proceedings of the ACM SIGKDD Workshop on Outlier Detection and Description,
Fadlil, Junaidillah ; Pao, Hsing-Kuo ; Lee, Yuh-Jye - p. 22-30 , 2013
Link: https://dl.acm.org/doi/1..
 
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9

Anomaly Detection via Online Oversampling Principal Compone..:

Lee, Yuh-Jye ; Yeh, Yi-Ren ; Wang, Yu-Chiang Frank
IEEE Transactions on Knowledge and Data Engineering.  25 (2013)  7 - p. 1460-1470 , 2013
Link: https://doi.org/10.1109/..
 
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10

An RSVM based two-teachers–one-student semi-supervised lear..:

Chang, Chien-Chung ; Pao, Hsing-Kuo ; Lee, Yuh-Jye
Neural Networks.  25 (2012)  - p. 57-69 , 2012
Link: https://doi.org/10.1016/..
 
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11

Malicious URL Detection Based on Kolmogorov Complexity Esti..:

, In: Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01,
Pao, Hsing-Kuo ; Chou, Yan-Lin ; Lee, Yuh-Jye - p. 380-387 , 2012
Link: https://dl.acm.org/doi/1..
 
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12

A novel framework for multi-class classification via ternar..:

Chang, Chih-Cheng ; Chien, Li-Jen ; Lee, Yuh-Jye
Pattern Recognition.  44 (2011)  6 - p. 1235-1244 , 2011
Link: https://doi.org/10.1016/..
 
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13

Multiclass support vector classification via coding and reg..:

Chen, Pei-Chun ; Lee, Kuang-Yao ; Lee, Tsung-Ju..
Neurocomputing.  73 (2010)  7-9 - p. 1501-1512 , 2010
Link: https://doi.org/10.1016/..
 
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14

Periodic step-size adaptation in second-order gradient desc..:

Hsu, Chun-Nan ; Huang, Han-Shen ; Chang, Yu-Ming.
Machine Learning.  77 (2009)  2-3 - p. 195-224 , 2009
Link: https://doi.org/10.1007/..
 
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15

The default risk of firms examined with smooth support vect.. 

SFB 649 discussion paper ; 2008,005
Lee, Yuh-Jye ; Yeh, Yi-Ren ; Härdle, Wolfgang. , 07 Jan. 2008
Link: http://hdl.handle.net/10..
 
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