Y. Fan

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Novel Optimization Models for Abnormal Brain Activity Classification

Ya-Ju Fan, W. Art Chaovalitwongse, Rajesh C. Sachdeo, 2008, Oper. Res..

On the Time Series $K$-Nearest Neighbor Classification of Abnormal Brain Activity

Ya-Ju Fan, W. Art Chaovalitwongse, Rajesh C. Sachdeo, 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

Support feature machine for classification of abnormal brain activity

Ya-Ju Fan, W. Art Chaovalitwongse, Rajesh C. Sachdeo, 2007, KDD '07.

Using data mining to enable integration of wind resources on the power grid

Ya-Ju Fan, Chandrika Kamath, C. Kamath, 2012, Stat. Anal. Data Min..

Recent advances in mathematical programming for classification and cluster analysis

Ya-Ju Fan, Cem Iyigun, W. Chaovalitwongse, 2008 .

Optimizing feature selection to improve medical diagnosis

Ya-Ju Fan, W. Art Chaovalitwongse, W. Chaovalitwongse, 2010, Ann. Oper. Res..

Optimization models and algorithms for sample-preserved classification and clustering

Ya-Ju Fan, Y. Fan, 2010 .

Evaluating point-prediction uncertainties in neural networks for protein-ligand binding prediction

Jonathan E. Allen, F. Lightstone, Xiaohua Zhang, 2023, Artificial intelligence chemistry.

On the Selection of Dimension Reduction Techniques for Scientific Applications

Chandrika Kamath, C. Kamath, Ya Ju Fan, 2015 .

Regression with small data sets: a case study using code surrogates in additive manufacturing

Ya-Ju Fan, Chandrika Kamath, C. Kamath, 2018, Knowledge and Information Systems.

A cross-study analysis of drug response prediction in cancer cell lines

Rick L. Stevens, Yvonne A. Evrard, Austin R. Clyde, 2021, Briefings Bioinform..

A Comparison of Compressed Sensing and Sparse Recovery Algorithms Applied to Simulation Data

Chandrika Kamath, Ya Ju Fan, C. Kamath, 2016 .

Information-theoretic feature selection with discrete k\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$k$$\end{documen

Ya-Ju Fan, W. Art Chaovalitwongse, Onur Seref, 2014, Annals of Operations Research.

Mathematical Programming Formulations and Algorithms for Discrete k-Median Clustering of Time-Series Data

Ya-Ju Fan, W. Art Chaovalitwongse, Onur Seref, 2014, INFORMS J. Comput..

Autoencoder Node Saliency: Selecting Relevant Latent Representations pdf

Ya Ju Fan, Y. Fan, 2017, Pattern Recognit..

Optimisation and data mining techniques for the screening of epileptic patients

P. Pardalos, L. Iasemidis, W. Chaovalitwongse, 2009, Int. J. Bioinform. Res. Appl..

Pattern- and Network-Based Classification Techniques for Multichannel Medical Data Signals to Improve Brain Diagnosis

Ya-Ju Fan, W. Art Chaovalitwongse, Leonidas D. Iasemidis, 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

Operation Research and Data Mining

W. Chaovalitwongse, Y. Fan, Y. Fan, 2009 .

Distinguishing between Normal and Cancer Cells Using Autoencoder Node Saliency pdf

Sam Ade Jacobs, S. A. Jacobs, Jonathan E. Allen, 2019, ArXiv.

Autoencoder Node Saliency: Selecting Relevant Latent Representations

Y. Fan, Ya Ju Fan, Y. Fan, 2017, Pattern Recognit..