Serafín Moral
Orcid: 0000-0002-8513-9081
According to our database1,
Serafín Moral
authored at least 162 papers
between 1988 and 2024.
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Bibliography
2024
Lazy Multi-Label Classification algorithms based on Non-Parametric Predictive Inference.
Expert Syst. Appl., 2024
A Bayesian Imprecise Classification method that weights instances using the error costs.
Appl. Soft Comput., 2024
2023
Inf. Sci., August, 2023
Entropy, June, 2023
Improving the Results in Credit Scoring by Increasing Diversity in Ensembles of Classifiers.
IEEE Access, 2023
Assessment of Situation Awareness and Automation in Performance-Based Navigation Procedures.
Proceedings of the 15th IEEE International Symposium on Autonomous Decentralized System, 2023
2022
Knowl. Based Syst., 2022
Neurocomputing, 2022
Int. J. Approx. Reason., 2022
A cost-sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference.
Appl. Soft Comput., 2022
2021
Required mathematical properties and behaviors of uncertainty measures on belief intervals.
Int. J. Intell. Syst., 2021
Value-based potentials: Exploiting quantitative information regularity patterns in probabilistic graphical models.
Int. J. Intell. Syst., 2021
Uncertainty-based information measures on the approximate non-parametric predictive inference model.
Int. J. Gen. Syst., 2021
A Decision Support Tool for Credit Domains: Bayesian Network with a Variable Selector Based on Imprecise Probabilities.
Int. J. Fuzzy Syst., 2021
Int. J. Approx. Reason., 2021
Combination in the theory of evidence via a new measurement of the conflict between evidences.
Expert Syst. Appl., 2021
Basic Probability Assignments Representable via Belief Intervals for Singletons in Dempster-Shafer Theory.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021
2020
On the Use of m-Probability-Estimation and Imprecise Probabilities in the Naïve Bayes Classifier.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020
MPE Computation in Bayesian Networks Using Mini-Bucket and Probability Trees Approximation.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020
MPE Computation in Bayesian Networks Using Mini-Bucket and Probability Trees Approximation.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020
Expert Syst. Appl., 2020
Appl. Soft Comput., 2020
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
2019
A comparison of random forest based algorithms: random credal random forest versus oblique random forest.
Soft Comput., 2019
Ensemble of classifier chains and Credal C4.5 for solving multi-label classification.
Prog. Artif. Intell., 2019
Int. J. Approx. Reason., 2019
Decision Tree Ensemble Method for Analyzing Traffic Accidents of Novice Drivers in Urban Areas.
Entropy, 2019
Proceedings of the 14th IEEE International Symposium on Autonomous Decentralized System, 2019
Combination in Dempster-Shafer Theory Based on a Disagreement Factor Between Evidences.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019
2018
J. Intell. Fuzzy Syst., 2018
Increasing diversity in random forest learning algorithm via imprecise probabilities.
Expert Syst. Appl., 2018
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018
Virtual Subconcept Drift Detection in Discrete Data Using Probabilistic Graphical Models.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018
2017
Estimating Conditional Probabilities by Mixtures of Low Order Conditional Distributions.
Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017
2016
Modeling aircrew information management for estimation of situational awareness using dynamic Bayesian networks.
Simul. Model. Pract. Theory, 2016
Intell. Data Anal., 2016
Regression Methods Applied to Flight Variables for Situational Awareness Estimation Using Dynamic Bayesian Networks.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Discretization of Simulated Flight Parameters for Estimation of Situational Awareness Using Dynamic Bayesian Networks.
Proceedings of the Twelfth IEEE International Symposium on Autonomous Decentralized Systems, 2015
2014
Comments on "Likelihood-based belief function: Justification and some extensions to low-quality data" by Thierry Denœux.
Int. J. Approx. Reason., 2014
Comments on "Statistical reasoning with set-valued information: Ontic vs. epistemic view" by Inés Couso and Didier Dubois.
Int. J. Approx. Reason., 2014
Rejoinder on "Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks".
Int. J. Approx. Reason., 2014
Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks.
Int. J. Approx. Reason., 2014
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014
2013
Increasing Power by using Haplotype Similarity in a Multimarker Transmission/disequilibrium Test.
J. Bioinform. Comput. Biol., 2013
Inference in Bayesian Networks with Recursive Probability Trees: Data Structure Definition and Operations.
Int. J. Intell. Syst., 2013
Int. J. Approx. Reason., 2013
Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks.
Int. J. Approx. Reason., 2013
Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (1998)
CoRR, 2013
Appl. Soft Comput., 2013
Appl. Math. Comput., 2013
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013
Proceedings of the Advances in Artificial Intelligence, 2013
2012
Knowl. Based Syst., 2012
Int. J. Approx. Reason., 2012
Int. J. Approx. Reason., 2012
Intell. Data Anal., 2012
Haplotype-based Classifiers to Predict Individual Susceptibility to Complex Diseases - An Example for Multiple Sclerosis.
Proceedings of the BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Vilamoura, Algarve, Portugal, 1, 2012
2011
IEEE Trans. Syst. Man Cybern. Part B, 2011
Int. J. Approx. Reason., 2011
Int. J. Approx. Reason., 2011
Intell. Data Anal., 2011
Learning with Bayesian networks and probability trees to approximate a joint distribution.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011
2010
Int. J. Approx. Reason., 2010
An Importance Sampling Approach to Integrate Expert Knowledge When Learning Bayesian Networks From Data.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010
2009
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009
Proceedings of the Current Topics in Artificial Intelligence, 2009
2008
Use of Explanation Treesto Describe the State Space of a Probabilistic-Based Abduction Problem.
Proceedings of the Innovations in Bayesian Networks: Theory and Applications, 2008
2007
Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks.
Int. J. Approx. Reason., 2007
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007
2006
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2006
Int. J. Approx. Reason., 2006
Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006
2005
Corrigendum: "a Non-specificity Measure for Convex Sets of Probability Distributions".
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2005
Int. J. Gen. Syst., 2005
Int. J. Approx. Reason., 2005
Int. J. Approx. Reason., 2005
Fuzzy Sets Syst., 2005
Application of a hill-climbing algorithm to exact and approximate inference in credal networks.
Proceedings of the ISIPTA '05, 2005
New Score for Independence Based on the Imprecise Dirichlet Model.
Proceedings of the ISIPTA '05, 2005
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005
Abductive Inference in Bayesian Networks: Finding a Partition of the Explanation Space.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005
Selective Gaussian Naïve Bayes Model for Diffuse Large-B-Cell Lymphoma Classification: Some Improvements in Preprocessing and Variable Elimination.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005
2003
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2003
Int. J. Intell. Syst., 2003
Int. J. Intell. Syst., 2003
Maximum of Entropy in Credal Classification.
Proceedings of the ISIPTA '03, 2003
Partial Abductive Inference in Bayesian Networks By Using Probability Trees.
Proceedings of the ICEIS 2003, 2003
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003
2002
Partial abductive inference in Bayesian belief networks - an evolutionary computation approach by using problem-specific genetic operators.
IEEE Trans. Evol. Comput., 2002
J. Appl. Non Class. Logics, 2002
Int. J. Approx. Reason., 2002
Inteligencia Artif., 2002
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002
Factorisation of Probability Trees and its Application to Inference in Bayesian Networks.
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002
Partial Abductive Inference in Bayesian Networks: An Empirical Comparison Between GAs and EDAs.
Proceedings of the Estimation of Distribution Algorithms, 2002
2001
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001
Int. J. Approx. Reason., 2001
Accelerating chromosome evaluation for partial abductive inference in Bayesian networks by means of explanation set absorption.
Int. J. Approx. Reason., 2001
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001
Proceedings of the Data Fusion and Perception, 2001
2000
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000
1999
Pattern Recognit. Lett., 1999
Proceedings of the ISIPTA '99, Proceedings of the First International Symposium on Imprecise Probabilities and Their Applications, held at the Conference Center "Het Pand" of the Universiteit Gent, Ghent, Belgium, 29 June, 1999
Proceedings of the ISIPTA '99, Proceedings of the First International Symposium on Imprecise Probabilities and Their Applications, held at the Conference Center "Het Pand" of the Universiteit Gent, Ghent, Belgium, 29 June, 1999
A Monte Carlo Algorithm for Combining Dempster-Shafer Belief Based on Approximate Pre-computation.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1999
1998
A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques.
Int. J. Approx. Reason., 1998
1997
Int. J. Intell. Syst., 1997
Int. J. Intell. Syst., 1997
Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997
1996
Importance sampling algorithms for the propagation of probabilities in belief networks.
Int. J. Approx. Reason., 1996
Fast Markov Chain Algorithms for Calculating Dempster-Shafer Belief.
Proceedings of the 12th European Conference on Artificial Intelligence, 1996
1995
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995
1994
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1994
Proceedings of the Advances in Intelligent Computing, 1994
Proceedings of the Advances in Intelligent Computing, 1994
A Logical View of Probability.
Proceedings of the Eleventh European Conference on Artificial Intelligence, 1994
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994
1993
Int. J. Approx. Reason., 1993
Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1993
1992
Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992
1991
Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1991
1990
Proceedings of the Uncertainty in Knowledge Bases, 1990
1988
Logical Connectives for Combining Fuzzy Measures.
Proceedings of the Methodologies for Intelligent Systems, 1988