Pei-Yi Hao

42 papers B 4C 1Misc 6Journal 19Unranked 12
YearRankTypeTitle / Venue / Authors
2025 Misc conf
Applying an Innovative TCN and Multi-tasks SVM for Early Sepsis Prediction.
PAAMS
Pei-Yi Hao
2024 — conf
Fuzzy Hyperplane Based Least Squares K-SVCR with Its Applications to Stock Trend Classification.
ICAISC (1)
Pei-Yi Hao
2024 — conf
Stock Movement Prediction by Using a Multi-tasks Multi-kernel Fuzzy Support Vector Machine with Parametric Margin.
ICAISC (1)
Pei-Yi Hao
2023 J jnl
An Adaptive, Context-Aware, and Stacked Attention Network-Based Recommendation System to Capture Users' Temporal Preference.
IEEE Trans. Knowl. Data Eng.
Jung-Hsien Chiang, Chung-Yao Ma, Chi-Shiang Wang, Pei-Yi Hao
2023 — conf
Fuzzy Hyperplane Based K-SVCR Multi-class Classification with Its Applications to Stock Prediction Problem.
ICAISC (1)
Pei-Yi Hao
2023 Misc conf
Fuzzy Hyperplane Based Twin-KSVC and Its Applications to Stock Price Movement Direction Prediction Based on News Articles.
PAAMS
Pei-Yi Hao
2023 J jnl
Fuzzy Least Squares Support Vector Machine with Fuzzy Hyperplane.
Neural Process. Lett.
Chien-Feng Kung, Pei-Yi Hao
2022 J jnl
Possibilistic classification by support vector networks.
Neural Networks
Pei-Yi Hao, Jung-Hsien Chiang, Yu-De Chen
2022 — conf
Predicting the Trends of Stock Price By CNN-BiLSTM-AM and Fuzzy Twin Support Vector Machine From Social Networks.
CSCI
Pei-Yi Hao
2021 J jnl
Asymmetric Possibility and Necessity Regression by Twin-Support Vector Networks.
IEEE Trans. Fuzzy Syst.
Pei-Yi Hao
2021 J jnl
Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane.
Appl. Soft Comput.
Pei-Yi Hao, Chien-Feng Kung, Chun-Yang Chang, Jen-Bing Ou
2021 — conf
Predicting the Trends of Stock Price By Social Networks and Fuzzy Deep Support Vector Machine.
SSCI
Pei-Yi Hao
2020 — conf
Asymmetric Dual Possibilistic Regression Model by using Pairing nu Support Vector Networks.
SSCI
Pei-Yi Hao
2020 J jnl
Dual possibilistic regression analysis using support vector networks.
Fuzzy Sets Syst.
Pei-Yi Hao
2020 — conf
Forecasting the Trends of Stock Price through Social Networks by Fuzzy Support Vector Machine with Possibility Measures.
MISNC/IEMT
Pei-Yi Hao, Jen-Bing Ou, Kai-Xiang Zhuang
2019 J jnl
Real-time event embedding for POI recommendation.
Neurocomputing
Pei-Yi Hao, Weng-Hang Cheang, Jung-Hsien Chiang
2017 — conf
Fuzzy Support Vector Classification Machine Using Possibility Inequality Measures.
TAAI
Pei-Yi Hao, Jen-Bing Ou
2017 J jnl
Pair-v-SVR: A Novel and Efficient Pairing nu-Support Vector Regression Algorithm.
IEEE Trans. Neural Networks Learn. Syst.
Pei-Yi Hao
2017 J jnl
Pairing support vector algorithm for data regression.
Neurocomputing
Pei-Yi Hao
2016 J jnl
Support vector classification with fuzzy hyperplane.
J. Intell. Fuzzy Syst.
Pei-Yi Hao
2015 — conf
A New Pairing Support Vector Regression.
ACIIDS (1)
Pei-Yi Hao
2014 — conf
A New Fuzzy Support Vector Data Description Machine.
IEA/AIE (1)
Pei-Yi Hao
2013 Misc conf
A new fuzzy maximal-margin spherical-structured multi-class support vector machine.
ICMLC
Pei-Yi Hao
2012 Misc conf
GPS GDOP approximation using support vector regression algorithm with parametric insensitive model.
ICMLC
Pei-Yi Hao, Chao-Yi Wu
2011 Misc conf
A novel associative classification algorithm: A combination of LAC and CMAR with new measure of weighted effect of each rule group.
ICMLC
Pei-Yi Hao, Yu-De Chen
2011 B conf
Possibilistic regression analysis by support vector machine.
FUZZ-IEEE
Pei-Yi Hao
2010 J jnl
New support vector algorithms with parametric insensitive/margin model.
Neural Networks
Pei-Yi Hao
2010 Misc conf
Prediction of subcelluar localization using maximal-margin spherical support vector machine.
ICMLC
Wei-Ming Chen, I-Lin Wu, Jung-Hsien Chiang, Pei-Yi Hao
2009 J jnl
A new maximal-margin spherical-structured multi-class support vector machine.
Appl. Intell.
Pei-Yi Hao, Jung-Hsien Chiang, Yen-Hsiu Lin
2009 J jnl
Interval regression analysis using support vector networks.
Fuzzy Sets Syst.
Pei-Yi Hao
2008 — conf
A New Support Vector Machine with Fuzzy Hyper-Plane and Its Application to Evaluate Credit Risk.
ISDA (3)
Pei-Yi Hao, Min-Shiu Lin, Lung-Biao Tsai
2008 B conf
A fuzzy model of support vector classification algorithm.
FUZZ-IEEE
Pei-Yi Hao
2008 B conf
A new Support Vector classification algorithm with parametric-margin model.
IJCNN
Pei-Yi Hao, Lung-Biao Tsai, Min-Shiu Lin
2008 J jnl
Fuzzy Regression Analysis by Support Vector Learning Approach.
IEEE Trans. Fuzzy Syst.
Pei-Yi Hao, Jung-Hsien Chiang
2008 J jnl
Fuzzy one-class support vector machines.
Fuzzy Sets Syst.
Pei-Yi Hao
2007 C conf
A New Multi-class Support Vector Machine with Multi-sphere in the Feature Space.
IEA/AIE
Pei-Yi Hao, Yen-Hsiu Lin
2007 J jnl
Hierarchically SVM classification based on support vector clustering method and its application to document categorization.
Expert Syst. Appl.
Pei-Yi Hao, Jung-Hsien Chiang, Yi-Kun Tu
2006 — conf
Pruning Support Vectors in the SVM Framework and Its Application to Face Detection.
JCIS
Pei-Yi Hao
2006 J jnl
Pruning and Model-selecting Algorithms in the Rbf Frameworks Constructed by Support Vector Learning.
Int. J. Neural Syst.
Pei-Yi Hao, Jung-Hsien Chiang
2004 J jnl
Support vector learning mechanism for fuzzy rule-based modeling: a new approach.
IEEE Trans. Fuzzy Syst.
Jung-Hsien Chiang, Pei-Yi Hao
2003 B conf
A fuzzy model of support vector machine regression.
FUZZ-IEEE
Pei-Yi Hao, Jung-Hsien Chiang
2003 J jnl
A new kernel-based fuzzy clustering approach: support vector clustering with cell growing.
IEEE Trans. Fuzzy Syst.
Jung-Hsien Chiang, Pei-Yi Hao