7 citations · 11 across the 6 of their papers we have counts for
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cs.LG2020
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,…
cs.LG2017★ 7 cited
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…