Marcelo Eduardo Loor Romero
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Contextual Boosting to Explainable SVM Classification
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An open-source software library for explainable support vector machine classification
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Concordance in FAST-GDM problems : comparing theoretical indices with perceived levels
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- Journal Article
- A1
- open access
Towards better concordance among contextualized evaluations in FAST-GDM problems
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- Journal Article
- A1
- open access
Contextualizing support vector machine predictions
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Contextualizing naive Bayes predictions
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Handling subjective information through augmented (fuzzy) computation
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- Journal Article
- A2
- open access
Handling augmented appraisal degrees from multiple perspectives with the universal operator X a,b,c,d,e,f
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- Conference Paper
- P1
- open access
Explaining computer predictions with augmented appraisal degrees
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Usability of concordance indices in FAST-GDM problems