29 citations · 36 across the 3 of their papers we have counts for
3 papers
Probabilistic Diagnostic Tests for Degradation Problems in Supervised Learning
Gustavo A. Valencia-Zapata, Carolina Gonzalez-Canas, Michael G. Zentner +2
Several studies point out different causes of performance degradation in supervised machine learning. Problems such as class imbalance, overlapping, small-disjuncts, noisy labels,…
A Statistical Approach to Increase Classification Accuracy in Supervised Learning Algorithms
Gustavo A Valencia-Zapata, Daniel Mejia, Gerhard Klimeck +2
Probabilistic mixture models have been widely used for different machine learning and pattern recognition tasks such as clustering, dimensionality reduction, and classification. In…
Grain Boundary Resistance in Copper Interconnects from an Atomistic Model to a Neural Network
Daniel Valencia, Evan Wilson, Zhengping Jiang +3
Orientation effects on the resistivity of copper grain boundaries are studied systematically with two different atomistic tight binding methods. A methodology is developed to model…