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Pei-Yi Hao

National Kaohsiung University of Science and Technology

14H-index
50Paper Count
1.1KCitation Count
Published Papers 17
Publication Date
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Early Prediction of Sepsis Utilizing Self-Regulated Generative Adversarial Network and Deep Transfer Fuzzy SVM
errIEEE Journal of Biomedical and Health Informatics
IF6.8
err2026-09-02
err0
PREAI
errChien-Feng Kung; Chia-Te Kung; Chih-Min Su; Pei-Yi Hao
errShare
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Applying an Innovative TCN and Multi-tasks SVM for Early Sepsis Prediction
errADVANCES IN PRACTICAL APPLICATIONS OF AGENTS, MULTI-AGENT SYSTEMS, AND COMPUTATIONAL SOCIAL SCIENCE: THE PAAMS COLLECTION, PAAMS 2025
IF0
err2026-01-01
err0
PREAI
errHao, Pei-Yi
errShare
errSave
An Adaptive, Context-Aware, and Stacked Attention Network-Based Recommendation System to Capture Users' Temporal Preference
errIEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
IF10.4
err2023-04-01
err6
PREAI
errChiang, Jung-Hsien; Ma, Chung-Yao; Wang, Chi-Shiang; Hao, Pei-Yi
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errSave
Possibilistic classification by support vector networks
errNEURAL NETWORKS
IF6.3
err2022-05-01
err25
PREAI
errHao, Pei-Yi; Chiang, Jung-Hsien; Chen, Yu-De
errShare
errSave
Asymmetric Possibility and Necessity Regression by Twin-Support Vector Networks
errIEEE TRANSACTIONS ON FUZZY SYSTEMS
IF11.9
err2021-10-01
err11
PREAI
errHao, Pei-Yi
errShare
errSave
Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane
errAPPLIED SOFT COMPUTING
IF6.6
err2021-01-01
err56
PREAI
errHao, Pei-Yi; Kung, Chien-Feng; Chang, Chun-Yang; Ou, Jen-Bing
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errSave
Dual possibilistic regression analysis using support vector networks
errFUZZY SETS AND SYSTEMS
IF2.7
err2020-05-01
err10
PREAI
errHao, Pei-Yi
errShare
errSave
Real-time event embedding for POI recommendation
errNEUROCOMPUTING
IF6.5
err2019-07-01
err44
PREAI
errHao, Pei-Yi; Cheang, Weng-Hang; Chiang, Jung-Hsien
errShare
errSave
Pair-v-SVR: A Novel and Efficient Pairing nu-Support Vector Regression Algorithm
errIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
err2017-11-01
err15
PREAI
errHao, Pei-Yi
errShare
errSave
Pairing support vector algorithm for data regression
errNEUROCOMPUTING
IF6.5
err2017-02-01
err8
PREAI
errHao, Pei-Yi
errShare
errSave
Pruning and model-selecting algorithms in the RBF frameworks constructed by support vector learning
errINTERNATIONAL JOURNAL OF NEURAL SYSTEMS
IF6.4
err2011-11-21
err5
PREAI
errHao, Pei-Yi; Chiang, Jung-Hsien
errShare
errSave
New support vector algorithms with parametric insensitive/margin model
errNEURAL NETWORKS
IF6.3
err2010-01-01
err99
PREAI
errHao, Pei-Yi
errShare
errSave
Interval regression analysis using support vector networks
errFUZZY SETS AND SYSTEMS
IF2.7
err2009-09-01
err55
PREAI
errHao, Pei-Yi
errShare
errSave
Fuzzy one-class support vector machines
errFUZZY SETS AND SYSTEMS
IF2.7
err2008-09-01
err42
PREAI
errHao, Pei-Yi
errShare
errSave
Fuzzy regression analysis by support vector learning approach
errIEEE TRANSACTIONS ON FUZZY SYSTEMS
IF11.9
err2008-04-01
err85
PREAI
errHao, Pei-Yi; Chiang, Jung-Hsien
errShare
errSave
A new maximal-margin spherical-structured multi-class support vector machine
errAPPLIED INTELLIGENCE
IF3.5
err2007-10-18
err55
PREAI
errHao, Pei-Yi; Chiang, Jung-Hsien; Lin, Yen-Hsiu
errShare
errSave
A new kernel-based fuzzy clustering approach: Support vector clustering with cell growing
errIEEE TRANSACTIONS ON FUZZY SYSTEMS
IF11.9
err2003-08-01
err199
PREAI
errChiang, JH; Hao, PY
errShare
errSave

Research Directions

The data has not been retrieved yet.
Co-authors
Cooperation Journals
J
Jung-Hsien Chiang
H-index: 35 · Papers: 177
C
Chia‐Te Kung
H-index: 30 · Papers: 192
C
Chih-Min Su
H-index: 20 · Papers: 71
Y
Yude Chen
H-index: 14 · Papers: 56
C
Chi-Shiang Wang
H-index: 8 · Papers: 19
View more