Department:
Learning Systems
Position:
Tenured Scientist
Research areas:
Impact areas:
SDGs:
2017
Eva Armengol,
& Josep Puyol-Gruart
(2017).
A reward-based approach for preference modeling: A case study.
Journal of Applied Logic, 23, 51-69.
https://doi.org/http://dx.doi.org/10.1016/j.jal.2016.11.006.
[BibTeX]
2016
Eva Armengol,
Pilar Dellunde,
& Angel García-Cerdaña
(2016).
On similarity in fuzzy description logics.
Fuzzy Sets and Systems, 292, 49-74.
https://doi.org/10.1016/j.fss.2015.11.021.
[BibTeX]
2015
Eva Armengol,
Pilar Dellunde,
& Angel García-Cerdaña
(2015).
A Logical Study of Local and Global Graded Similarities.
Applied Artificial Intelligence, 29, 424-444.
[BibTeX]
Eva Armengol,
& Josep Puyol-Gruart
(2015).
A Simple Experiment to Guide the Design of a Preference Model.
E. Armengol, D. Boixader, & F. Grimaldo (Eds.),
Artificial Intelligence Research and Development, Proceedings of the 18th International Conference of the Catalan Association for Artificial Intelligence (pp 59-68).
IOS Press.
https://doi.org/http://www.iospress.nl/book/artificial-intelligence-research-and-development-12/.
[BibTeX]
[PDF]
Eva Armengol,
& Vicenç Torra
(2015).
Generalization-Based k-Anonymization.
V. Torra, & Y. Narukawa (Eds.),
MDAI 2015
(pp. 207-218).
Spriger-Verlag.
[BibTeX]
[PDF]
2014
Eva Armengol,
Pilar Dellunde,
& Angel García-Cerdaña
(2014).
Local and Global Similarities in Fuzzy Class Theory..
CCIA'14
(pp. 205-217).
[BibTeX]
2012
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,
Pilar Dellunde,
& Angel García-Cerdaña
(2012).
Towards a Fuzzy Extension of the López de Mántaras Distance.
IPMU 2012
(pp. 81-90).
[BibTeX]
[PDF]
2011
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]
2010
Angel García-Cerdaña,
Eva Armengol,
& Francesc Esteva
(2010).
Fuzzy Description Logics and t-norm based Fuzzy Logics.
International Journal of Approximate reasoning, 51, 632 - 655.
[BibTeX]
[PDF]
Eva Armengol,
& Angel García-Cerdaña
(2010).
Lazy induction of descriptions using two fuzzy versions of the Rand index.
IPMU 2010
(pp. 396-405).
Springer.
[BibTeX]
[PDF]
Eva Armengol,
Pilar Dellunde,
& Angel García-Cerdaña
(2010).
On Similarities in Fuzzy Description Logics.
Logic, Algebra and Truth Degrees 2010
(pp. 44-49).
[BibTeX]
[PDF]
Angel García-Cerdaña,
Eva Armengol,
& Pilar Dellunde
(2010).
Similarity for attribute-value representations in Fuzzy Description Logics.
Artificial Intelligence Research and Development, CCIA'10
(pp. 269-278).
IOS Press.
[BibTeX]
[PDF]
2009
Guiomar Corral,
Eva Armengol,
Albert Fornells,
& Elisabet Golobardes
(2009).
Explanations of unsupervised learning clustering applied to data security analysis.
Neurocomputing, 72, 9.
[BibTeX]
Angel García-Cerdaña,
Eva Armengol,
& Francesc Esteva
(2009).
On Triangular Norm based Fuzzy Description Logics.
IFSA-EUSFLAT
(pp. 891-896).
[BibTeX]
[PDF]
Eva Armengol
(2009).
Using explanations for determining carcinogenecity in chemical compounds.
International Journal on Engineering Applications of Artificial Intelligence, 22, 8.
[BibTeX]
2008
Eva Armengol
(2008).
Building partial domain theories from explanations.
Knowledge Intelligence, 2/08, 19-24.
[BibTeX]
Albert Fornells,
Eva Armengol,
Elisabet Golobardes,
Susana Puig,
& Josep Malvehy
(2008).
Experiences using clustering and generizations for knowledge discovery in melanomas domain.
P. Perner (Eds.),
Lecture Notes in Computer Science
.
Springer.
[BibTeX]
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