Elizabeth P. Chou

Orcid: 0000-0002-8983-142X

According to our database1, Elizabeth P. Chou authored at least 9 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
A virtual multi-label approach to imbalanced data classification.
Commun. Stat. Simul. Comput., March, 2024

Topological Risk-Landscape in Metric-Free Categorical Database.
IEEE Access, 2024

2022
Unraveling Hidden Major Factors by Breaking Heterogeneity into Homogeneous Parts within Many-System Problems.
Entropy, 2022

Learned Practical Guidelines for Evaluating Conditional Entropy and Mutual Information in Discovering Major Factors of Response-vs.-Covariate Dynamics.
Entropy, 2022

2021
Mimicking Complexity of Structured Data Matrix's Information Content: Categorical Exploratory Data Analysis.
Entropy, 2021

Categorical Exploratory Data Analysis: From Multiclass Classification and Response Manifold Analytics Perspectives of Baseball Pitching Dynamics.
Entropy, 2021

Categorical Nature of Major Factor Selection via Information Theoretic Measurements.
Entropy, 2021

2015
Data Driven Geometry for Learning.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

2013
Computed Data-Geometry Based Supervised and Semi-supervised Learning in High Dimensional Data.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013


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