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
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Identifying and properly handling context in crowdsourcing
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- PhD Thesis
- open access
Quality in crowdsourced experience-based evaluations : handling subjective responses
(2018) -
Refocusing attention on unobserved attributes to reach consensus in decision making problems involving a heterogeneous group of experts
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An open-source software package to assess similarity measures that compare intuitionistic fuzzy sets
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On the need for augmented appraisal degrees to handle experience-based evaluations
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In a quest for suitable similarity measures to compare experience-based evaluations
(2017) COMPUTATIONAL INTELLIGENCE, IJCCI 2015. In Studies in Computational Intelligence 669. p.291-314 -
Choosing suitable similarity measures to compare intuitionistic fuzzy sets that represent experience-based evaluation sets
(2015) Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015). Volume 2: FCTA. p.57-68 -
Connotation-differential prints comparing what is connoted through (fuzzy) evaluations
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Vector based similarity measure for intuitionistic fuzzy sets