Pei-Yi Hao

According to our database, Pei-Yi Hao authored at least 39 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Fuzzy Least Squares Support Vector Machine with Fuzzy Hyperplane.

Chien-Feng Kung, Pei-Yi Hao

Neural Process. Lett., December, 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., April, 2023

Fuzzy Hyperplane Based Twin-KSVC and Its Applications to Stock Price Movement Direction Prediction Based on News Articles.

Pei-Yi Hao

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection, 2023

Fuzzy Hyperplane Based K-SVCR Multi-class Classification with Its Applications to Stock Prediction Problem.

Pei-Yi Hao

Proceedings of the Artificial Intelligence and Soft Computing, 2023

2022

Possibilistic classification by support vector networks.

Pei-Yi Hao, Jung-Hsien Chiang, Yu-De Chen

Neural Networks, 2022

Predicting the Trends of Stock Price By CNN-BiLSTM-AM and Fuzzy Twin Support Vector Machine From Social Networks.

Pei-Yi Hao

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021

Asymmetric Possibility and Necessity Regression by Twin-Support Vector Networks.

Pei-Yi Hao

IEEE Trans. Fuzzy Syst., 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

Predicting the Trends of Stock Price By Social Networks and Fuzzy Deep Support Vector Machine.

Pei-Yi Hao

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020

Dual possibilistic regression analysis using support vector networks.

Pei-Yi Hao

Fuzzy Sets Syst., 2020

Asymmetric Dual Possibilistic Regression Model by using Pairing nu Support Vector Networks.

Pei-Yi Hao

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

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

Proceedings of the MISNC 2020 & IEMT 2020: The 7th Multidisciplinary in International Social Networks Conference and The 3rd International Conference on Economics, 2020

2019

Real-time event embedding for POI recommendation.

Pei-Yi Hao, Weng-Hang Cheang, Jung-Hsien Chiang

Neurocomputing, 2019

2017

Pair-v-SVR: A Novel and Efficient Pairing nu-Support Vector Regression Algorithm.

Pei-Yi Hao

IEEE Trans. Neural Networks Learn. Syst., 2017

Pairing support vector algorithm for data regression.

Pei-Yi Hao

Neurocomputing, 2017

Fuzzy Support Vector Classification Machine Using Possibility Inequality Measures.

Pei-Yi Hao, Jen-Bing Ou

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2017

2016

Support vector classification with fuzzy hyperplane.

Pei-Yi Hao

J. Intell. Fuzzy Syst., 2016

2015

A New Pairing Support Vector Regression.

Pei-Yi Hao

Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015

2014

A New Fuzzy Support Vector Data Description Machine.

Pei-Yi Hao

Proceedings of the Modern Advances in Applied Intelligence, 2014

2013

A new fuzzy maximal-margin spherical-structured multi-class support vector machine.

Pei-Yi Hao

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2012

GPS GDOP approximation using support vector regression algorithm with parametric insensitive model.

Pei-Yi Hao, Chao-Yi Wu

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

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

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Possibilistic regression analysis by support vector machine.

Pei-Yi Hao

Proceedings of the FUZZ-IEEE 2011, 2011

2010

New support vector algorithms with parametric insensitive/margin model.

Pei-Yi Hao

Neural Networks, 2010

Prediction of subcelluar localization using maximal-margin spherical support vector machine.

Wei-Ming Chen, I-Lin Wu, Jung-Hsien Chiang, Pei-Yi Hao

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2009

Interval regression analysis using support vector networks.

Pei-Yi Hao

Fuzzy Sets Syst., 2009

A new maximal-margin spherical-structured multi-class support vector machine.

Pei-Yi Hao, Jung-Hsien Chiang, Yen-Hsiu Lin

Appl. Intell., 2009

2008

Fuzzy Regression Analysis by Support Vector Learning Approach.

Pei-Yi Hao, Jung-Hsien Chiang

IEEE Trans. Fuzzy Syst., 2008

Fuzzy one-class support vector machines.

Pei-Yi Hao

Fuzzy Sets Syst., 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

Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

A new Support Vector classification algorithm with parametric-margin model.

Pei-Yi Hao, Lung-Biao Tsai, Min-Shiu Lin

Proceedings of the International Joint Conference on Neural Networks, 2008

A fuzzy model of support vector classification algorithm.

Pei-Yi Hao

Proceedings of the FUZZ-IEEE 2008, 2008

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 New Multi-class Support Vector Machine with Multi-sphere in the Feature Space.

Pei-Yi Hao, Yen-Hsiu Lin

Proceedings of the New Trends in Applied Artificial Intelligence, 2007

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

Pruning Support Vectors in the SVM Framework and Its Application to Face Detection.

Pei-Yi Hao

Proceedings of the 2006 Joint Conference on Information Sciences, 2006

2004

Support vector learning mechanism for fuzzy rule-based modeling: a new approach.

Jung-Hsien Chiang, Pei-Yi Hao

IEEE Trans. Fuzzy Syst., 2004

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

A fuzzy model of support vector machine regression.

Pei-Yi Hao, Jung-Hsien Chiang

Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003