Ghent University Academic Bibliography

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Your filters: cql: author="Tapia-Rosero, Ana" or (type exact bookEditor and editor="Tapia-Rosero, Ana")

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An open-source software library for explainable support vector machine classification

Marcelo Eduardo Loor Romero (UGent) , Ana Tapia-Rosero and Guy De Tré (UGent)

(2022) 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). In IEEE International Fuzzy Systems Conference Proceedings
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- Journal Article
- A1
- open access
Towards better concordance among contextualized evaluations in FAST-GDM problems

Marcelo Eduardo Loor Romero (UGent) , Ana Tapia-Rosero and Guy De Tré (UGent)

(2021) MATHEMATICS. 9(1).
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- Book Chapter
Concordance in FAST-GDM problems : comparing theoretical indices with perceived levels

Marcelo Eduardo Loor Romero (UGent) , Ana Tapia-Rosero and Guy De Tré (UGent)

(2021) Computational Intelligence : International Joint Conference, IJCCI 2018 Seville, Spain, September 18–20, 2018, Revised selected papers. In Studies in computational intelligence 893. p.47-72
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Usability of concordance indices in FAST-GDM problems

Marcelo Eduardo Loor Romero (UGent) , Ana Tapia-Rosero and Guy De Tré (UGent)

(2018) Proceedings of the 10th International Joint Conference on Computational Intelligence (IJCCI 2018). p.67-78
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Refocusing attention on unobserved attributes to reach consensus in decision making problems involving a heterogeneous group of experts

Marcelo Eduardo Loor Romero (UGent) , Ana Tapia-Rosero and Guy De Tré (UGent)

(2018) ADVANCES IN FUZZY LOGIC AND TECHNOLOGY 2017, VOL 2. In Advances in Intelligent Systems and Computing 642. p.405-416

Academic Bibliography

An open-source software library for explainable support vector machine classification

Towards better concordance among contextualized evaluations in FAST-GDM problems

Concordance in FAST-GDM problems : comparing theoretical indices with perceived levels

Usability of concordance indices in FAST-GDM problems

Refocusing attention on unobserved attributes to reach consensus in decision making problems involving a heterogeneous group of experts

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