Pei-Yuan Zhou

According to our database, Pei-Yuan Zhou authored at least 13 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Theory and rationale of interpretable all-in-one pattern discovery and disentanglement system.

Andrew K. C. Wong, Pei-Yuan Zhou, Annie E.-S. Lee

npj Digit. Medicine, 2023

Interpretable Disease Prediction from Clinical Text by Leveraging Pattern Disentanglement.

Malikeh Ehghaghi, Pei-Yuan Zhou, Wendy Yusi Cheng, Sahar Rajabi, Chih-Hao Kuo, En-Shiun Annie Lee

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2021

Explanation and prediction of clinical data with imbalanced class distribution based on pattern discovery and disentanglement.

Pei-Yuan Zhou, Andrew K. C. Wong

BMC Medical Informatics Decis. Mak., 2021

2018

Corporate Communication Network and Stock Price Movements: Insights From Data Mining.

Pei-Yuan Zhou, Keith C. C. Chan, Carol Xiaojuan Ou

IEEE Trans. Comput. Soc. Syst., 2018

Fuzzy Feature Extraction for Multichannel EEG Classification.

Pei-Yuan Zhou, Keith C. C. Chan

IEEE Trans. Cogn. Dev. Syst., 2018

2017

Discovery and disentanglement of protein aligned pattern clusters to reveal subtle functional subgroups.

Pei-Yuan Zhou, Antonio Sze-Tzo, Andrew K. C. Wong

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

An Effective Pattern Pruning and Summarization Method Retaining High Quality Patterns With High Area Coverage in Relational Datasets.

Pei-Yuan Zhou, Gary C. L. Li, Andrew K. C. Wong

IEEE Access, 2016

2015

What Strikes the Strings of Your Heart?-Multi-Label Dimensionality Reduction for Music Emotion Analysis via Brain Imaging.

Yang Liu, Yan Liu, Chaoguang Wang, Xiaohong Wang, Pei-Yuan Zhou, Gino Yu, Keith C. C. Chan

IEEE Trans. Auton. Ment. Dev., 2015

A Feature Extraction Method for Multivariate Time Series Classification Using Temporal Patterns.

Pei-Yuan Zhou, Keith C. C. Chan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

An unsupervised attribute clustering algorithm for unsupervised feature selection.

Pei-Yuan Zhou, Keith C. C. Chan

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

A two-stage classification framework for imbalanced data with overlapping labels.

Pei-Yuan Zhou, Wenting Mo, Chunhua Tian, Li Li, Xiaoguang Rui, Haifeng Wang

Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014

A Model-Based Multivariate Time Series Clustering Algorithm.

Pei-Yuan Zhou, Keith C. C. Chan

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

2013

Regrouping of pattern clusters to reveal characteristics of distinct classes and related classes.

Pei-Yuan Zhou, En-Shiun Annie Lee, Andrew K. C. Wong

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013