Eva Armengol,
& {\`{A}}ngel Garc{í}a{-}Cerda{\~{n}}a
(2020).Decision Trees as a Tool for Data Analysis. Elections in Barcelona: A Case Study.Vicen{\\c{c}}Torra, Yasuo Narukawa, Jordi Nin, & N{\\'{u}}ria Agell (Eds.),Modeling Decisions for Artificial Intelligence - 17th International Conference, {MDAI}2020, Sant Cugat, Spain, September 2-4, 2020, Proceedings(pp. 261--272).
Springer.https://doi.org/10.1007/978-3-030-57524-3\_22.[BibTeX]
[PDF]
Eva Armengol,
& Angel García-Cerdaña
(2012).Refining Discretizations of Continuous-Valued Attributes.V. Torra al. (Eds.),The 9th International Conference on Modeling Decisions for Artificial Intelligence(pp. 258-269).
Springer-Verlag Berlin Heidelberg.[BibTeX]
[PDF]
Eva Armengol
(2011).Classification of Melanomas in situ using Knowledge Discovery with Explained CBR.Artificial Intelligence in Medicine, 51, 12.[BibTeX]
[PDF]
Eva Armengol,
& Susana Puig
(2011).Combining two lazy learning methods for classification and knowledge discovery..International Conference on Knowledge Discovery and Information Retrieval
.
INSTICC.[BibTeX]
[PDF]
Eva Armengol,
Pilar Dellunde,
& Carlo Ratto
(2011).Lazy Learning Methods for Quality of Life Assessment in people with intellectual disabilities.CCIA-2011(pp. 41-50).
IOS Press.[BibTeX]
Guiomar Corral,
Eva Armengol,
Albert Fornells,
& Elisabet Golobardes
(2009).Explanations of unsupervised learning clustering applied to data security analysis.Neurocomputing, 72, 9.[BibTeX]
Eva Armengol
(2009).Using explanations for determining carcinogenecity in chemical compounds.International Journal on Engineering Applications of Artificial Intelligence, 22, 8.[BibTeX]