Rafael Cabañas
Rafael Cabañas
IDSIA - Istituto Dalle Molle di studi sull'Intelligenza Artificiale
Verified email at idsia.ch
Title
Cited by
Cited by
Year
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
192019
Evaluating interval-valued influence diagrams
R Cabañas, A Antonucci, A Cano, M Gómez-Olmedo
International Journal of Approximate Reasoning 80, 393-411, 2017
132017
InferPy: Probabilistic modeling with Tensorflow made easy
R Cabañas, A Salmerón, AR Masegosa
Knowledge-Based Systems 168, 25-27, 2019
102019
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
102012
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
62016
On SPI-lazy evaluation of influence diagrams
R Cabanas, A Cano, M Gómez-Olmedo, AL Madsen
European Workshop on Probabilistic Graphical Models, 97-112, 2014
52014
On SPI for evaluating influence diagrams
R Cabanas, AL Madsen, A Cano, M Gómez-Olmedo
International Conference on Information Processing and Management of …, 2014
52014
InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy
J Cózar, R Cabañas, A Salmerón, AR Masegosa
Neurocomputing 415, 408, 2020
42020
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
42018
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
42016
Using binary trees for the evaluation of influence diagrams
R Cabanas, M Gómez-Olmedo, A Cano
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2016
42016
Variable Elimination for Interval-Valued Influence Diagrams
R Cabanas, A Antonucci, A Cano, M Gómez-Olmedo
42015
Structural causal models are (solvable by) credal networks
M Zaffalon, A Antonucci, R Cabañas
arXiv preprint arXiv:2008.00463, 2020
32020
CREMA: A Java library for credal network inference
D Huber, R Cabañas, A Antonucci, M Zaffalon
Proceedings of the tenth International Conference on Probabilistic Graphical …, 2020
32020
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
32013
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
32013
Probabilistic models with deep neural networks
AR Masegosa, R Cabañas, H Langseth, TD Nielsen, A Salmerón
Entropy 23 (1), 117, 2021
22021
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
22013
New methods and data structures for evaluating influence diagrams
R Cabañas de Paz
Universidad de Granada, 2017
12017
CREPO: An Open Repository to Benchmark Credal Network Algorithms
R Cabañas, A Antonucci
arXiv preprint arXiv:2105.04158, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–20