Computed Data-Geometry Based Supervised and Semi-supervised Learning in High Dimensional Data. - Elizabeth P. Chou; Fushing Hsieh; John Capitanio (ICMLA (1), 2013)

Data Driven Geometry for Learning. - Elizabeth P. Chou (MLDM, 2015)

Categorical Nature of Major Factor Selection via Information Theoretic Measurements. - Ting-Li Chen; Elizabeth P. Chou; Fushing Hsieh (Entropy, 2021)

Categorical Exploratory Data Analysis: From Multiclass Classification and Response Manifold Analytics Perspectives of Baseball Pitching Dynamics. - Fushing Hsieh; Elizabeth P. Chou (Entropy, 2021)

Mimicking Complexity of Structured Data Matrix's Information Content: Categorical Exploratory Data Analysis. - Fushing Hsieh; Elizabeth P. Chou; Ting-Li Chen (Entropy, 2021)

Learned Practical Guidelines for Evaluating Conditional Entropy and Mutual Information in Discovering Major Factors of Response-vs.-Covariate Dynamics. - Ting-Li Chen; Fushing Hsieh; Elizabeth P. Chou (Entropy, 2022)

Unraveling Hidden Major Factors by Breaking Heterogeneity into Homogeneous Parts within Many-System Problems. - Elizabeth P. Chou; Ting-Li Chen; Fushing Hsieh (Entropy, 2022)

Topological Risk-Landscape in Metric-Free Categorical Database. - Fushing Hsieh; Hong-Wei Kao; Elizabeth P. Chou (IEEE Access, 2024)

A virtual multi-label approach to imbalanced data classification. - Elizabeth P. Chou; Shan-Ping Yang (Commun. Stat. Simul. Comput., 2024)