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Tzung-Pei Hong
PeerJ Author
2,100 Points

Contributions by role

Editor 2,100

Contributions by subject area

Artificial Intelligence
Computational Linguistics
Data Mining and Machine Learning
Natural Language and Speech
Algorithms and Analysis of Algorithms
Data Science
Software Engineering
Digital Libraries
Bioinformatics
Computer Vision
Neural Networks
Computational Biology
Visual Analytics
Databases
World Wide Web and Web Science
Text Mining
Sentiment Analysis
Optimization Theory and Computation

Tzung-Pei Hong

PeerJ Author

Summary

Tzung-Pei Hong received his Ph.D. degree in computer science and information engineering from National Chiao-Tung University in Taiwan in 1992. He was an associate professor in Chung-Hua Polytechnic Institute and in I-Shou University. He served as the director of library and computer center, the dean of academic affairs, the vice president, and is currently a distinguished professor at the Department of Computer Science and Information Engineering in National University of Kaohsiung, Taiwan.

Data Mining & Machine Learning

Work details

Professor

National University of Kaohsiung
Department of Computer Science and Information Engineering

PeerJ Contributions

  • Edited 10

Academic Editor on

September 19, 2024
A variant-informed decision support system for tackling COVID-19: a transfer learning and multi-attribute decision-making approach
Amirreza Salehi Amiri, Ardavan Babaei, Vladimir Simic, Erfan Babaee Tirkolaee
https://doi.org/10.7717/peerj-cs.2321
August 13, 2024
A pre-averaged pseudo nearest neighbor classifier
Dapeng Li
https://doi.org/10.7717/peerj-cs.2247
July 10, 2024
Mining software insights: uncovering the frequently occurring issues in low-rating software applications
Nek Dil Khan, Javed Ali Khan, Jianqiang Li, Tahir Ullah, Qing Zhao
https://doi.org/10.7717/peerj-cs.2115
June 20, 2024
Clustering analysis for classifying fake real estate listings
Maifuza Mohd Amin, Nor Samsiah Sani, Mohammad Faidzul Nasrudin, Salwani Abdullah, Amit Chhabra, Faizal Abd Kadir
https://doi.org/10.7717/peerj-cs.2019
February 29, 2024
A clustering effectiveness measurement model based on merging similar clusters
Guiqin Duan, Chensong Zou
https://doi.org/10.7717/peerj-cs.1863
December 9, 2021
An ontology-based approach to the analysis of the acid-base state of patients at operative measures
Man Tianxing, Mikhail Lushnov, Dmitry I. Ignatov, Yulia Alexandrovna Shichkina, Natalia Alexandrovna Zhukova, Alexander Ivanovich Vodyaho
https://doi.org/10.7717/peerj-cs.777
November 29, 2021
Machine learning applications to predict two-phase flow patterns
Harold Brayan Arteaga-Arteaga, Alejandro Mora-Rubio, Frank Florez, Nicolas Murcia-Orjuela, Cristhian Eduardo Diaz-Ortega, Simon Orozco-Arias, Melissa delaPava, Mario Alejandro Bravo-Ortíz, Melvin Robinson, Pablo Guillen-Rondon, Reinel Tabares-Soto
https://doi.org/10.7717/peerj-cs.798
February 3, 2020
Image-based effective feature generation for protein structural class and ligand binding prediction
Nafees Sadique, Al Amin Neaz Ahmed, Md Tajul Islam, Md. Nawshad Pervage, Swakkhar Shatabda
https://doi.org/10.7717/peerj-cs.253
November 18, 2019
A systematic review on literature-based discovery workflow
Menasha Thilakaratne, Katrina Falkner, Thushari Atapattu
https://doi.org/10.7717/peerj-cs.235
November 18, 2019
A Sparse-Modeling Based Approach for Class Specific Feature Selection
Davide Nardone, Angelo Ciaramella, Antonino Staiano
https://doi.org/10.7717/peerj-cs.237