Ya-Ju Fan

Orcid: 0000-0002-1657-774X

According to our database1, Ya-Ju Fan authored at least 21 papers between 2007 and 2022.

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Bibliography

2022
Evaluating Point-Prediction Uncertainties in Neural Networks for Drug Discovery.
CoRR, 2022

A cross-study analysis of drug response prediction in cancer cell lines.
Briefings Bioinform., 2022

2019
Autoencoder node saliency: Selecting relevant latent representations.
Pattern Recognit., 2019

Distinguishing between Normal and Cancer Cells Using Autoencoder Node Saliency.
CoRR, 2019

2018
Regression with small data sets: a case study using code surrogates in additive manufacturing.
Knowl. Inf. Syst., 2018

Information-theoretic feature selection with discrete k-median clustering.
Ann. Oper. Res., 2018

Compressing Unstructured Mesh Data Using Spline Fits, Compressed Sensing, and Regression Methods.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2016
Detecting ramp events in wind energy generation using affinity evaluation on weather data.
Stat. Anal. Data Min., 2016

2015
Identifying and Exploiting Diurnal Motifs in Wind Generation Time Series Data.
Int. J. Pattern Recognit. Artif. Intell., 2015

Practical Considerations in Applying Compressed Sensing to Simulation Data.
Proceedings of the 2015 Data Compression Conference, 2015

2014
Mathematical Programming Formulations and Algorithms for Discrete k-Median Clustering of Time-Series Data.
INFORMS J. Comput., 2014

Incremental SVD for Insight into Wind Generation.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

2012
Using data mining to enable integration of wind resources on the power grid.
Stat. Anal. Data Min., 2012

Finding Motifs in Wind Generation Time Series Data.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011
Pattern- and Network-Based Classification Techniques for Multichannel Medical Data Signals to Improve Brain Diagnosis.
IEEE Trans. Syst. Man Cybern. Part A, 2011

2010
Optimizing feature selection to improve medical diagnosis.
Ann. Oper. Res., 2010

2009
Deterministic and Probabilistic Optimization Models for Data Classification.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Optimisation and data mining techniques for the screening of epileptic patients.
Int. J. Bioinform. Res. Appl., 2009

2008
Novel Optimization Models for Abnormal Brain Activity Classification.
Oper. Res., 2008

2007
On the Time Series K-Nearest Neighbor Classification of Abnormal Brain Activity.
IEEE Trans. Syst. Man Cybern. Part A, 2007

Support feature machine for classification of abnormal brain activity.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007


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