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Asymmetric Possibility and Necessity Regression by Twin-Support Vector Networks

IEEE transactions on fuzzy systems, 2021-10, Vol.29 (10), p.3028-3042

Hao, Pei-Yi

2021

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IEEE_Xplore

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

IEEE transaction on neural networks and learning systems, 2017-11, Vol.28 (11), p.2503-2515

Hao, Pei-Yi

2017

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IEEE_Xplore

Dual possibilistic regression analysis using support vector networks

Fuzzy sets and systems, 2020-05, Vol.387, p.1-34

Hao, Pei-Yi

2020

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Fuzzy Regression Analysis by Support Vector Learning Approach

IEEE transactions on fuzzy systems, 2008-04, Vol.16 (2), p.428-441

2008

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IEEE_Xplore

A new kernel-based fuzzy clustering approach: support vector clustering with cell growing

IEEE transactions on fuzzy systems, 2003-08, Vol.11 (4), p.518-527

2003

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IEEE_Xplore

New support vector algorithms with parametric insensitive/margin model

Neural networks, 2010, Vol.23 (1), p.60-73

Hao, Pei-Yi

2010

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

IEEE transactions on fuzzy systems, 2004-02, Vol.12 (1), p.1-12

2004

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IEEE_Xplore

Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane

Applied soft computing, 2021-01, Vol.98, p.106806, Article 106806

2021

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Real-time event embedding for POI recommendation

Neurocomputing (Amsterdam), 2019-07, Vol.349, p.1-11

2019

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Possibilistic classification by support vector networks

Neural networks, 2022-05, Vol.149, p.40-56

2022

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Pairing support vector algorithm for data regression

Neurocomputing (Amsterdam), 2017-02, Vol.225, p.174-187

Hao, Pei-Yi

2017

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Fuzzy Least Squares Support Vector Machine with Fuzzy Hyperplane

Neural processing letters, 2023-12, Vol.55 (6), p.7415-7446

2023

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Interval regression analysis using support vector networks

Fuzzy sets and systems, 2009-09, Vol.160 (17), p.2466-2485

Hao, Pei-Yi

2009

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An Adaptive, Context-Aware, and Stacked Attention Network-Based Recommendation System to Capture Users' Temporal Preference

IEEE transactions on knowledge and data engineering, 2023-04, Vol.35 (4), p.3404-3418

2023

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IEEE_Xplore

Fuzzy one-class support vector machines

Fuzzy sets and systems, 2008-09, Vol.159 (18), p.2317-2336

Hao, Pei-Yi

2008

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Support vector classification with fuzzy hyperplane

Journal of intelligent & fuzzy systems, 2016-03, Vol.30 (3), p.1431-1443

Hao, Pei-Yi

2016

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

Artificial Intelligence and Soft Computing, p.101-111

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

Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection, p.125-136

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Hierarchically SVM classification based on support vector clustering method and its application to document categorization

Expert systems with applications, 2007-10, Vol.33 (3), p.627-635

2007

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A New Pairing Support Vector Regression

Intelligent Information and Database Systems, p.327-336

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

Applied intelligence (Dordrecht, Netherlands), 2009-04, Vol.30 (2), p.98-111

2009

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A New Fuzzy Support Vector Data Description Machine

Modern Advances in Applied Intelligence, p.118-127

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

2022 International Conference on Computational Science and Computational Intelligence (CSCI), 2022, p.819-825

Hao, Pei-Yi

2022

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

2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021, p.01-08

Hao, Pei-Yi

2021

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A new Support Vector classification algorithm with parametric-margin model

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.420-425

2008

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IEEE_Xplore

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Asymmetric Possibility and Necessity Regression by Twin-Support Vector Networks

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

Dual possibilistic regression analysis using support vector networks

Fuzzy Regression Analysis by Support Vector Learning Approach

A new kernel-based fuzzy clustering approach: support vector clustering with cell growing

New support vector algorithms with parametric insensitive/margin model

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

Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane

Real-time event embedding for POI recommendation

Possibilistic classification by support vector networks

Pairing support vector algorithm for data regression

Fuzzy Least Squares Support Vector Machine with Fuzzy Hyperplane

Interval regression analysis using support vector networks

An Adaptive, Context-Aware, and Stacked Attention Network-Based Recommendation System to Capture Users' Temporal Preference

Fuzzy one-class support vector machines

Support vector classification with fuzzy hyperplane

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

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

Hierarchically SVM classification based on support vector clustering method and its application to document categorization

A New Pairing Support Vector Regression

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

A New Fuzzy Support Vector Data Description Machine

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

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

A new Support Vector classification algorithm with parametric-margin model

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