Rafael Cabañas

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Manuel Gómez-Olmedo (mgomez at d...Department of Computer Science and Artificial Intelligence, Universidad de GranadaVerified email at decsai.ugr.es
Andrés CanoDepartment of Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es
Andres R. MasegosaUniversity of AalborgVerified email at cs.aau.dk
Anders L MadsenCEO at HUGIN EXPERT and Adjunct professor at Aalborg UniversityVerified email at hugin.com
Alessandro AntonucciSenior Lecturer-Researcher at IDSIAVerified email at idsia.ch
Antonio SalmerónUniversity of Almería, SpainVerified email at ual.es
Thomas Dyhre NielsenAalborg UniversityVerified email at cs.aau.dk
Helge LangsethNorwegian University of Science and TechnologyVerified email at ntnu.no
Darío Ramos-LópezAssistant Professor, Department of Applied Mathematics, Rey Juan Carlos University, Madrid (Spain)Verified email at ual.es
Ana M. MartínezJoint Research Center, European CommissionVerified email at ec.europa.eu
Marco ZaffalonIDSIA and Artificialy.comVerified email at idsia.ch
Serafín MoralDept. Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es
David HuberIDSIAVerified email at idsia.ch
M. Julia Flores (ORCID: 0000-0001-6...Professor of Computer Science, University of Castilla - La ManchaVerified email at uclm.es
Rafael RumíProfessor, University of AlmeríaVerified email at ual.es
ROSA M FERNANDEZ ROPEROPhD University of AlmeríaVerified email at ual.es

Rafael Cabañas

IDSIA - Istituto Dalle Molle di studi sull'Intelligenza Artificiale

Verified email at idsia.ch

Probabilistic Graphical Models Machine Learning Data Science Influence Diagrams Imprecise Probability


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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	19	2019
Evaluating interval-valued influence diagrams R Cabañas, A Antonucci, A Cano, M Gómez-Olmedo International Journal of Approximate Reasoning 80, 393-411, 2017	12	2017
InferPy: Probabilistic modeling with Tensorflow made easy R Cabañas, A Salmerón, AR Masegosa Knowledge-Based Systems 168, 25-27, 2019	10	2019
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	10	2012
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	7	2016
InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy J Cózar, R Cabañas, A Salmerón, AR Masegosa Neurocomputing 415, 408, 2020	4	2020
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	4	2018
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	4	2016
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	4	2014
On SPI for evaluating influence diagrams R Cabanas, AL Madsen, A Cano, M Gómez-Olmedo International Conference on Information Processing and Management of …, 2014	4	2014
Probabilistic models with deep neural networks AR Masegosa, R Cabañas, H Langseth, TD Nielsen, A Salmerón Entropy 23 (1), 117, 2021	3	2021
CREMA: A Java library for credal network inference D Huber, R Cabañas, A Antonucci, M Zaffalon International Conference on Probabilistic Graphical Models, 613-616, 2020	3	2020
Structural causal models are (solvable by) credal networks M Zaffalon, A Antonucci, R Cabañas International Conference on Probabilistic Graphical Models, 581-592, 2020	3	2020
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	3	2016
Variable Elimination for Interval-Valued Influence Diagrams R Cabanas, A Antonucci, A Cano, M Gómez-Olmedo	3	2015
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	2	2013
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	2	2013
New methods and data structures for evaluating influence diagrams R Cabañas de Paz Universidad de Granada, 2017	1	2017
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	1	2013
CREPO: An Open Repository to Benchmark Credal Network Algorithms R Cabañas, A Antonucci arXiv preprint arXiv:2105.04158, 2021		2021

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