A fuzzy model of support vector machine regression. - Pei-Yi Hao; Jung-Hsien Chiang (FUZZ-IEEE, 2003)

A new kernel-based fuzzy clustering approach: support vector clustering with cell growing. - Jung-Hsien Chiang; Pei-Yi Hao (IEEE Trans. Fuzzy Syst., 2003)

Support vector learning mechanism for fuzzy rule-based modeling: a new approach. - Jung-Hsien Chiang; Pei-Yi Hao (IEEE Trans. Fuzzy Syst., 2004)

Pruning Support Vectors in the SVM Framework and Its Application to Face Detection. - Pei-Yi Hao (JCIS, 2006)

Pruning and Model-selecting Algorithms in the Rbf Frameworks Constructed by Support Vector Learning. - Pei-Yi Hao; Jung-Hsien Chiang (Int. J. Neural Syst., 2006)

A New Multi-class Support Vector Machine with Multi-sphere in the Feature Space. - Pei-Yi Hao; Yen-Hsiu Lin (IEA/AIE, 2007)

Hierarchically SVM classification based on support vector clustering method and its application to document categorization. - Pei-Yi Hao; Jung-Hsien Chiang; Yi-Kun Tu (Expert Syst. Appl., 2007)

A fuzzy model of support vector classification algorithm. - Pei-Yi Hao (FUZZ-IEEE, 2008)

A new Support Vector classification algorithm with parametric-margin model. - Pei-Yi Hao; Lung-Biao Tsai; Min-Shiu Lin (IJCNN, 2008)

A New Support Vector Machine with Fuzzy Hyper-Plane and Its Application to Evaluate Credit Risk. - Pei-Yi Hao; Min-Shiu Lin; Lung-Biao Tsai (ISDA (3), 2008)

Fuzzy one-class support vector machines. - Pei-Yi Hao (Fuzzy Sets Syst., 2008)

Fuzzy Regression Analysis by Support Vector Learning Approach. - Pei-Yi Hao; Jung-Hsien Chiang (IEEE Trans. Fuzzy Syst., 2008)

A new maximal-margin spherical-structured multi-class support vector machine. - Pei-Yi Hao; Jung-Hsien Chiang; Yen-Hsiu Lin (Appl. Intell., 2009)

Interval regression analysis using support vector networks. - Pei-Yi Hao (Fuzzy Sets Syst., 2009)

Prediction of subcelluar localization using maximal-margin spherical support vector machine. - Wei-Ming Chen; I-Lin Wu; Jung-Hsien Chiang; Pei-Yi Hao (ICMLC, 2010)

New support vector algorithms with parametric insensitive/margin model. - Pei-Yi Hao (Neural Networks, 2010)

Possibilistic regression analysis by support vector machine. - Pei-Yi Hao (FUZZ-IEEE, 2011)

A novel associative classification algorithm: A combination of LAC and CMAR with new measure of weighted effect of each rule group. - Pei-Yi Hao; Yu-De Chen (ICMLC, 2011)

GPS GDOP approximation using support vector regression algorithm with parametric insensitive model. - Pei-Yi Hao; Chao-Yi Wu (ICMLC, 2012)

A new fuzzy maximal-margin spherical-structured multi-class support vector machine. - Pei-Yi Hao (ICMLC, 2013)

A New Fuzzy Support Vector Data Description Machine. - Pei-Yi Hao (IEA/AIE (1), 2014)

A New Pairing Support Vector Regression. - Pei-Yi Hao (ACIIDS (1), 2015)

Support vector classification with fuzzy hyperplane. - Pei-Yi Hao (J. Intell. Fuzzy Syst., 2016)

Fuzzy Support Vector Classification Machine Using Possibility Inequality Measures. - Pei-Yi Hao; Jen-Bing Ou (TAAI, 2017)

Pairing support vector algorithm for data regression. - Pei-Yi Hao (Neurocomputing, 2017)

Pair-v-SVR: A Novel and Efficient Pairing nu-Support Vector Regression Algorithm. - Pei-Yi Hao (IEEE Trans. Neural Networks Learn. Syst., 2017)

Real-time event embedding for POI recommendation. - Pei-Yi Hao; Weng-Hang Cheang; Jung-Hsien Chiang (Neurocomputing, 2019)

Forecasting the Trends of Stock Price through Social Networks by Fuzzy Support Vector Machine with Possibility Measures. - Pei-Yi Hao; Jen-Bing Ou; Kai-Xiang Zhuang (MISNC/IEMT, 2020)

Asymmetric Dual Possibilistic Regression Model by using Pairing nu Support Vector Networks. - Pei-Yi Hao (SSCI, 2020)

Dual possibilistic regression analysis using support vector networks. - Pei-Yi Hao (Fuzzy Sets Syst., 2020)

Predicting the Trends of Stock Price By Social Networks and Fuzzy Deep Support Vector Machine. - Pei-Yi Hao (SSCI, 2021)

Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane. - Pei-Yi Hao; Chien-Feng Kung; Chun-Yang Chang; Jen-Bing Ou (Appl. Soft Comput., 2021)

Asymmetric Possibility and Necessity Regression by Twin-Support Vector Networks. - Pei-Yi Hao (IEEE Trans. Fuzzy Syst., 2021)

Predicting the Trends of Stock Price By CNN-BiLSTM-AM and Fuzzy Twin Support Vector Machine From Social Networks. - Pei-Yi Hao (CSCI, 2022)

Possibilistic classification by support vector networks. - Pei-Yi Hao; Jung-Hsien Chiang; Yu-De Chen (Neural Networks, 2022)

Fuzzy Hyperplane Based K-SVCR Multi-class Classification with Its Applications to Stock Prediction Problem. - Pei-Yi Hao (ICAISC (1), 2023)

Fuzzy Hyperplane Based Twin-KSVC and Its Applications to Stock Price Movement Direction Prediction Based on News Articles. - Pei-Yi Hao (PAAMS, 2023)

An Adaptive, Context-Aware, and Stacked Attention Network-Based Recommendation System to Capture Users' Temporal Preference. - Jung-Hsien Chiang; Chung-Yao Ma; Chi-Shiang Wang; Pei-Yi Hao (IEEE Trans. Knowl. Data Eng., 2023)

Fuzzy Least Squares Support Vector Machine with Fuzzy Hyperplane. - Chien-Feng Kung; Pei-Yi Hao (Neural Process. Lett., 2023)

Fuzzy Hyperplane Based Least Squares K-SVCR with Its Applications to Stock Trend Classification. - Pei-Yi Hao (ICAISC (1), 2024)

Stock Movement Prediction by Using a Multi-tasks Multi-kernel Fuzzy Support Vector Machine with Parametric Margin. - Pei-Yi Hao (ICAISC (1), 2024)