Rafael Cabañas
Rafael Cabañas
IDSIA - Istituto Dalle Molle di studi sull'Intelligenza Artificiale
Verified email at idsia.ch
TitleCited byYear
Approximate inference in influence diagrams using binary trees
RC de Paz, M Gómez-Olmedo, A Cano
Proceedings of the 6th European Workshop on Probabilistic Graphical Models …, 2012
92012
Evaluating interval-valued influence diagrams
R Cabañas, A Antonucci, A Cano, M Gómez-Olmedo
International Journal of Approximate Reasoning 80, 393-411, 2017
82017
AMIDST: A Java toolbox for scalable probabilistic machine learning
AR Masegosa, AM Martínez, D Ramos-López, R Cabañas, A Salmerón, ...
Knowledge-Based Systems 163, 595-597, 2019
72019
Financial data analysis with PGMs using AMIDST
R Cabañas, AM Martínez, AR Masegosa, D Ramos-López, A Samerón, ...
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016
42016
On SPI-lazy evaluation of influence diagrams
R Cabañas, A Cano, M Gómez-Olmedo, AL Madsen
European Workshop on Probabilistic Graphical Models, 97-112, 2014
42014
On SPI for evaluating influence diagrams
R Cabanas, AL Madsen, A Cano, M Gómez-Olmedo
International Conference on Information Processing and Management of …, 2014
42014
InferPy: Probabilistic modeling with Tensorflow made easy
R Cabañas, A Salmerón, AR Masegosa
Knowledge-Based Systems 168, 25-27, 2019
32019
Using binary trees for the evaluation of influence diagrams
R Cabañas, M Gómez-Olmedo, A Cano
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2016
32016
Variable Elimination for Interval-Valued Influence Diagrams
R Cabanas, A Antonucci, A Cano, M Gómez-Olmedo
22015
Approximate lazy evaluation of influence diagrams
R Cabanas, A Cano, M Gómez-Olmedo, AL Madsen
Conference of the Spanish Association for Artificial Intelligence, 321-331, 2013
22013
Virtual Subconcept Drift Detection in Discrete Data Using Probabilistic Graphical Models
R Cabañas, A Cano, M Gómez-Olmedo, AR Masegosa, S Moral
International Conference on Information Processing and Management of …, 2018
12018
Improvements to variable elimination and symbolic probabilistic inference for evaluating influence diagrams
R Cabañas, A Cano, M Gómez-Olmedo, AL Madsen
International Journal of Approximate Reasoning 70, 13-35, 2016
12016
Heuristics for determining the elimination ordering in the influence diagram evaluation with binary trees
RCA CANO, M GOMEZ-OLMEDO, AL MADSEN
Twelfth Scandinavian Conference on Artificial Intelligence: SCAI 2013 257, 65, 2013
12013
Evaluating asymmetric decision problems with binary constraint trees
R Cabanas, M Gómez-Olmedo, A Cano
European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2013
12013
InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy
J Cózar, R Cabañas, A Salmerón, AR Masegosa
arXiv preprint arXiv:1908.11161, 2019
2019
Probabilistic Models with Deep Neural Networks
AR Masegosa, R Cabañas, H Langseth, TD Nielsen, A Salmerón
arXiv preprint arXiv:1908.03442, 2019
2019
A Linear Programming Based Approach for Evaluating Interval-valued Influence Diagrams
R Cabañas, A Cano, M Gómez-Olmedo, A Antonucci
2018
New methods and data structures for evaluating influence diagrams
R Cabañas de Paz
Universidad de Granada, 2017
2017
A Java Toolbox for Analysis of MassIve Data STreams using Probabilistic Graphical Models
AR Masegosa, AM Martınez, D Ramos-Lopez, H Langseth, TD Nielsen, ...
European Data Forum 2016, 2016
2016
Reconocimiento de gestos mediante Redes Bayesianas Dinámicas
R Cabañas de Paz
Universidad de Castilla-La Mancha, 2012
2012
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