Rafael Cabañas

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 26

Top Topics

Influence Diagrams

Credal Networks

Decision Problems

Top Venues

Int. J. Approx. Reason.

Knowl. Based Syst.

Publications

Marco Zaffalon, Alessandro Antonucci, David Huber, Rafael Cabañas
Learning to Bound Counterfactual Inference in Structural Causal Models from Observational and Randomised Data. CoRR (2022)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
Bounding Counterfactuals under Selection Bias. CoRR (2022)
Luis A. Ortega, Rafael Cabañas, Andrés R. Masegosa
Diversity and Generalization in Neural Network Ensembles. AISTATS (2022)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
Bounding Counterfactuals under Selection Bias. PGM (2022)
Rafael Cabañas, Alessandro Antonucci
CREPO: An Open Repository to Benchmark Credal Network Algorithms. ISIPTA (2021)
Manuel Gómez-Olmedo, Rafael Cabañas, Andrés Cano, Serafín Moral, Ofelia P. Retamero
Value-based potentials: Exploiting quantitative information regularity patterns in probabilistic graphical models. Int. J. Intell. Syst. 36 (11) (2021)
Luis A. Ortega, Rafael Cabañas, Andrés R. Masegosa
Diversity and Generalization in Neural Network Ensembles. CoRR (2021)
Andrés R. Masegosa, Rafael Cabañas, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón
Probabilistic Models with Deep Neural Networks. Entropy 23 (1) (2021)
Rafael Cabañas, Alessandro Antonucci
CREPO: An Open Repository to Benchmark Credal Network Algorithms. CoRR (2021)
Rafael Cabañas, Javier Cózar, Antonio Salmerón, Andrés R. Masegosa
Probabilistic Graphical Models with Neural Networks in InferPy. PGM (2020)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas
Structural Causal Models Are (Solvable by) Credal Networks. CoRR (2020)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas
Structural Causal Models Are (Solvable by) Credal Networks. PGM (2020)
Rafael Cabañas, Alessandro Antonucci, David Huber, Marco Zaffalon
CREDICI: A Java Library for Causal Inference by Credal Networks. PGM (2020)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas
EM Based Bounding of Unidentifiable Queries in Structural Causal Models. CoRR (2020)
Javier Cózar, Rafael Cabañas, Antonio Salmerón, Andrés R. Masegosa
InferPy: Probabilistic modeling with deep neural networks made easy. Neurocomputing 415 (2020)
David Huber, Rafael Cabañas, Alessandro Antonucci, Marco Zaffalon
CREMA: A Java Library for Credal Network Inference. PGM (2020)
Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Rafael Cabañas, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen
AMIDST: A Java toolbox for scalable probabilistic machine learning. Knowl. Based Syst. 163 (2019)
Rafael Cabañas, Antonio Salmerón, Andrés R. Masegosa
InferPy: Probabilistic modeling with Tensorflow made easy. Knowl. Based Syst. 168 (2019)
Andrés R. Masegosa, Rafael Cabañas, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón
Probabilistic Models with Deep Neural Networks. CoRR (2019)
Javier Cózar, Rafael Cabañas, Andrés R. Masegosa, Antonio Salmerón
InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy. CoRR (2019)
Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral
Virtual Subconcept Drift Detection in Discrete Data Using Probabilistic Graphical Models. IPMU (3) (2018)
Rafael Cabañas, Alessandro Antonucci, Andrés Cano, Manuel Gómez-Olmedo
Evaluating interval-valued influence diagrams. Int. J. Approx. Reason. 80 (2017)
Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Rafael Cabañas, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen
AMIDST: a Java Toolbox for Scalable Probabilistic Machine Learning. CoRR (2017)
Rafael Cabañas, Manuel Gómez-Olmedo, Andrés Cano
Using Binary Trees for the Evaluation of Influence Diagrams. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 24 (1) (2016)
Rafael Cabañas, Ana M. Martínez, Andrés R. Masegosa, Darío Ramos-López, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen
Financial Data Analysis with PGMs Using AMIDST. ICDM Workshops (2016)
Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen
Improvements to Variable Elimination and Symbolic Probabilistic Inference for evaluating Influence Diagrams. Int. J. Approx. Reason. 70 (2016)
Rafael Cabañas, Alessandro Antonucci, Andrés Cano, Manuel Gómez-Olmedo
Variable Elimination for Interval-Valued Influence Diagrams. ECSQARU (2015)
Rafael Cabañas, Anders L. Madsen, Andrés Cano, Manuel Gómez-Olmedo
On SPI for Evaluating Influence Diagrams. IPMU (1) (2014)
Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen
On SPI-Lazy Evaluation of Influence Diagrams. Probabilistic Graphical Models (2014)
Rafael Cabañas, Manuel Gómez-Olmedo, Andrés Cano
Evaluating Asymmetric Decision Problems with Binary Constraint Trees. ECSQARU (2013)
Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen
Approximate Lazy Evaluation of Influence Diagrams. CAEPIA (2013)
Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen
Heuristics for Determining the Elimination Ordering in the Influence Diagram Evaluation with Binary Trees. SCAI (2013)