Pei-Yi Hao

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 18

Top Topics

Regression Algorithm

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Pei-Yi Hao
Fuzzy Hyperplane Based K-SVCR Multi-class Classification with Its Applications to Stock Prediction Problem. ICAISC (1) (2023)
Jung-Hsien Chiang, Chung-Yao Ma, Chi-Shiang Wang, Pei-Yi Hao
An Adaptive, Context-Aware, and Stacked Attention Network-Based Recommendation System to Capture Users' Temporal Preference. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Pei-Yi Hao
Fuzzy Hyperplane Based Twin-KSVC and Its Applications to Stock Price Movement Direction Prediction Based on News Articles. PAAMS (2023)
Chien-Feng Kung, Pei-Yi Hao
Fuzzy Least Squares Support Vector Machine with Fuzzy Hyperplane. Neural Process. Lett. 55 (6) (2023)
Pei-Yi Hao
Predicting the Trends of Stock Price By CNN-BiLSTM-AM and Fuzzy Twin Support Vector Machine From Social Networks. CSCI (2022)
Pei-Yi Hao, Jung-Hsien Chiang, Yu-De Chen
Possibilistic classification by support vector networks. Neural Networks 149 (2022)
Pei-Yi Hao
Predicting the Trends of Stock Price By Social Networks and Fuzzy Deep Support Vector Machine. SSCI (2021)
Pei-Yi Hao, Chien-Feng Kung, Chun-Yang Chang, Jen-Bing Ou
Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane. Appl. Soft Comput. 98 (2021)
Pei-Yi Hao
Asymmetric Possibility and Necessity Regression by Twin-Support Vector Networks. IEEE Trans. Fuzzy Syst. 29 (10) (2021)
Pei-Yi Hao, Jen-Bing Ou, Kai-Xiang Zhuang
Forecasting the Trends of Stock Price through Social Networks by Fuzzy Support Vector Machine with Possibility Measures. MISNC/IEMT (2020)
Pei-Yi Hao
Dual possibilistic regression analysis using support vector networks. Fuzzy Sets Syst. 387 (2020)
Pei-Yi Hao
Asymmetric Dual Possibilistic Regression Model by using Pairing nu Support Vector Networks. SSCI (2020)
Pei-Yi Hao, Weng-Hang Cheang, Jung-Hsien Chiang
Real-time event embedding for POI recommendation. Neurocomputing 349 (2019)
Pei-Yi Hao
Pairing support vector algorithm for data regression. Neurocomputing 225 (2017)
Pei-Yi Hao
Pair-v-SVR: A Novel and Efficient Pairing nu-Support Vector Regression Algorithm. IEEE Trans. Neural Networks Learn. Syst. 28 (11) (2017)
Pei-Yi Hao, Jen-Bing Ou
Fuzzy Support Vector Classification Machine Using Possibility Inequality Measures. TAAI (2017)
Pei-Yi Hao
Support vector classification with fuzzy hyperplane. J. Intell. Fuzzy Syst. 30 (3) (2016)
Pei-Yi Hao
A New Pairing Support Vector Regression. ACIIDS (1) (2015)
Pei-Yi Hao
A New Fuzzy Support Vector Data Description Machine. IEA/AIE (1) (2014)
Pei-Yi Hao
A new fuzzy maximal-margin spherical-structured multi-class support vector machine. ICMLC (2013)
Pei-Yi Hao, Chao-Yi Wu
GPS GDOP approximation using support vector regression algorithm with parametric insensitive model. ICMLC (2012)
Pei-Yi Hao
Possibilistic regression analysis by support vector machine. FUZZ-IEEE (2011)
Pei-Yi Hao, Yu-De Chen
A novel associative classification algorithm: A combination of LAC and CMAR with new measure of weighted effect of each rule group. ICMLC (2011)
Wei-Ming Chen, I-Lin Wu, Jung-Hsien Chiang, Pei-Yi Hao
Prediction of subcelluar localization using maximal-margin spherical support vector machine. ICMLC (2010)
Pei-Yi Hao
New support vector algorithms with parametric insensitive/margin model. Neural Networks 23 (1) (2010)
Pei-Yi Hao
Interval regression analysis using support vector networks. Fuzzy Sets Syst. 160 (17) (2009)
Pei-Yi Hao, Jung-Hsien Chiang, Yen-Hsiu Lin
A new maximal-margin spherical-structured multi-class support vector machine. Appl. Intell. 30 (2) (2009)
Pei-Yi Hao, Min-Shiu Lin, Lung-Biao Tsai
A New Support Vector Machine with Fuzzy Hyper-Plane and Its Application to Evaluate Credit Risk. ISDA (3) (2008)
Pei-Yi Hao
A fuzzy model of support vector classification algorithm. FUZZ-IEEE (2008)
Pei-Yi Hao
Fuzzy one-class support vector machines. Fuzzy Sets Syst. 159 (18) (2008)
Pei-Yi Hao, Jung-Hsien Chiang
Fuzzy Regression Analysis by Support Vector Learning Approach. IEEE Trans. Fuzzy Syst. 16 (2) (2008)
Pei-Yi Hao, Lung-Biao Tsai, Min-Shiu Lin
A new Support Vector classification algorithm with parametric-margin model. IJCNN (2008)
Pei-Yi Hao, Jung-Hsien Chiang, Yi-Kun Tu
Hierarchically SVM classification based on support vector clustering method and its application to document categorization. Expert Syst. Appl. 33 (3) (2007)
Pei-Yi Hao, Yen-Hsiu Lin
A New Multi-class Support Vector Machine with Multi-sphere in the Feature Space. IEA/AIE (2007)
Pei-Yi Hao, Jung-Hsien Chiang
Pruning and Model-selecting Algorithms in the Rbf Frameworks Constructed by Support Vector Learning. Int. J. Neural Syst. 16 (4) (2006)
Pei-Yi Hao
Pruning Support Vectors in the SVM Framework and Its Application to Face Detection. JCIS (2006)
Jung-Hsien Chiang, Pei-Yi Hao
Support vector learning mechanism for fuzzy rule-based modeling: a new approach. IEEE Trans. Fuzzy Syst. 12 (1) (2004)
Jung-Hsien Chiang, Pei-Yi Hao
A new kernel-based fuzzy clustering approach: support vector clustering with cell growing. IEEE Trans. Fuzzy Syst. 11 (4) (2003)
Pei-Yi Hao, Jung-Hsien Chiang
A fuzzy model of support vector machine regression. FUZZ-IEEE (2003)