Serafín Moral

Orcid: 0000-0002-8513-9081

According to our database1, Serafín Moral authored at least 162 papers between 1988 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Desirable gambles based on pairwise comparisons.
Int. J. Approx. Reason., 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
Imprecise probabilistic models based on hierarchical intervals.
Inf. Sci., August, 2023

Upgrading the Fusion of Imprecise Classifiers.
Entropy, July, 2023

A Variation of the Algorithm to Achieve the Maximum Entropy for Belief Functions.
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
Using extreme prior probabilities on the Naive Credal Classifier.
Knowl. Based Syst., 2022

A new label ordering method in Classifier Chains based on imprecise probabilities.
Neurocomputing, 2022

Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification.
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

Credal sets representable by reachable probability intervals and belief functions.
Int. J. Approx. Reason., 2021

Combination in the theory of evidence via a new measurement of the conflict between evidences.
Expert Syst. Appl., 2021

Computation of Kullback-Leibler Divergence in Bayesian Networks.
Entropy, 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

Bagging of credal decision trees for imprecise classification.
Expert Syst. Appl., 2020

Non-parametric predictive inference for solving multi-label classification.
Appl. Soft Comput., 2020

Maximum of Entropy for Belief Intervals Under Evidence Theory.
IEEE Access, 2020

Imprecise Classification with Non-parametric Predictive Inference.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Learning Sets of Bayesian Networks.
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

A Bayesian approach to abrupt concept drift.
Knowl. Based Syst., 2019

Learning with imprecise probabilities as model selection and averaging.
Int. J. Approx. Reason., 2019

Decision Tree Ensemble Method for Analyzing Traffic Accidents of Novice Drivers in Urban Areas.
Entropy, 2019

Flight Trajectory Clustering: a framework that uses Planned Route data.
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
Using Credal-C4.5 with Binary Relevance for Multi-Label Classification.
J. Intell. Fuzzy Syst., 2018

Increasing diversity in random forest learning algorithm via imprecise probabilities.
Expert Syst. Appl., 2018

Divergence Measures and Approximate Algorithms for Valuation Based Systems.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

Credal C4.5 with Refinement of Parameters.
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

A hierarchical clustering method: Applications to educational data.
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

Learning Bayesian network by a mesh of points.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
The behavioral meaning of the median.
Inf. Sci., 2015

Recent Advances in Probabilistic Graphical Models.
Int. J. Intell. Syst., 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

Extended Probability Trees for Probabilistic Graphical Models.
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

An interactive approach for Bayesian network learning using domain/expert knowledge.
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

New skeleton-based approaches for Bayesian structure learning of Bayesian networks.
Appl. Soft Comput., 2013

New strategies for finding multiplicative decompositions of probability trees.
Appl. Math. Comput., 2013

Learning classifiers from discretized expression quantitative trait loci.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

Learning Recursive Probability Trees from Data.
Proceedings of the Advances in Artificial Intelligence, 2013

2012
A Bayesian stochastic search method for discovering Markov boundaries.
Knowl. Based Syst., 2012

Imprecise probabilities for representing ignorance about a parameter.
Int. J. Approx. Reason., 2012

Editorial - Imprecise probability.
Int. J. Approx. Reason., 2012

Learning recursive probability trees from probabilistic potentials.
Int. J. Approx. Reason., 2012

Determining dependence relations using a new score based on imprecise probabilities.
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
A Method for Integrating Expert Knowledge When Learning Bayesian Networks From Data.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Sets of desirable gambles: Conditioning, representation, and precise probabilities.
Int. J. Approx. Reason., 2011

Approximate inference in Bayesian networks using binary probability trees.
Int. J. Approx. Reason., 2011

A memory efficient semi-Naive Bayes classifier with grouping of cases.
Intell. Data Anal., 2011

Probabilistic graphical models in artificial intelligence.
Appl. Soft Comput., 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

Bayesian networks classifiers for gene-expression data.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Locally Averaged Bayesian Dirichlet Metrics.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2010
Independence concepts in evidence theory.
Int. J. Approx. Reason., 2010

Imprecise probability in statistical inference and decision making.
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
A Bayesian Random Split to Build Ensembles of Classification Trees.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

Binary Probability Trees for Bayesian Networks Inference.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

Recursive Probability Trees for Bayesian Networks.
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

A Semi-naive Bayes Classifier with Grouping of Cases.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2006
An Algorithm to Compute the Upper Entropy for Order-2 Capacities.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2006

Disaggregated total uncertainty measure for credal sets.
Int. J. Gen. Syst., 2006

A forward-backward Monte Carlo method for solving influence diagrams.
Int. J. Approx. Reason., 2006

Varying Parameter in Classification Based on Imprecise Probabilities.
Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006

The Independency tree model: a new approach for clustering and factorisation.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

Some Variations on the PC Algorithm.
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

Difference of entropies as a non-specificity function on credal sets†.
Int. J. Gen. Syst., 2005

Dynamic importance sampling in Bayesian networks based on probability trees.
Int. J. Approx. Reason., 2005

Upper entropy of credal sets. Applications to credal classification.
Int. J. Approx. Reason., 2005

Comments on 'a behavioural model for vague probability assessments' (G. de Cooman).
Fuzzy Sets Syst., 2005

Epistemic irrelevance on sets of desirable gambles.
Ann. Math. Artif. Intell., 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

Imprecise Probability in Graphical Models: Achievements and Challenges.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

Approximate Factorisation of Probability Trees.
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

Methods to Determine the Branching Attribute in Bayesian Multinets Classifiers.
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
Maximum of Entropy for Credal Sets.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2003

Qualitative combination of Bayesian networks.
Int. J. Intell. Syst., 2003

Novel strategies to approximate probability trees in penniless propagation.
Int. J. Intell. Syst., 2003

Building classification trees using the total uncertainty criterion.
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

Dynamic Importance Sampling Computation in Bayesian Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

Approximating Conditional MTE Distributions by Means of Mixed Trees.
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

Lazy evaluation in penniless propagation over join trees.
Networks, 2002

Computing probability intervals with simulated annealing and probability trees.
J. Appl. Non Class. Logics, 2002

Using probability trees to compute marginals with imprecise probabilities.
Int. J. Approx. Reason., 2002

Strong Conditional Independence for Credal Sets.
Ann. Math. Artif. Intell., 2002

Different strategies to approximate probability trees in penniless propagation.
Inteligencia Artif., 2002

Estimating Mixtures of Truncated Exponentials from Data.
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
Simplifying Explanations in Bayesian Belief Networks.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001

Merging databases: Problems and examples.
Int. J. Intell. Syst., 2001

Fusion: General concepts and characteristics.
Int. J. Intell. Syst., 2001

Partial abductive inference in Bayesian belief networks by simulated annealing.
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

Importance Sampling in Bayesian Networks Using Antithetic Variables.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

Mixtures of Truncated Exponentials in Hybrid Bayesian Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

Computing Intervals of Probabilities with Simulated Annealing and Probability Trees.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

Qualitative Aggregation of Bayesian Networks.
Proceedings of the Data Fusion and Perception, 2001

2000
Network of probabilities associated with a capacity of order-2.
Inf. Sci., 2000

A Non-Specificity Measure for Convex Sets of Probability Distributions.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000

Penniless propagation in join trees.
Int. J. Intell. Syst., 2000

Reasoning with imprecise probabilities.
Int. J. Approx. Reason., 2000

1999
Partial abductive inference in Bayesian belief networks using a genetic algorithm.
Pattern Recognit. Lett., 1999

Propositional Information Systems.
J. Log. Comput., 1999

Examples of Independence for Imprecise Probabilities.
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 Review of Propagation Algorithms for Imprecise Probabilities.
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
Mixing exact and importance sampling propagation algorithms in dependence graphs.
Int. J. Intell. Syst., 1997

Removing partial inconsistency in valuation-based systems.
Int. J. Intell. Syst., 1997

Inference with Idempotent Valuations.
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
Independence Concepts for Convex Sets of Probabilities.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

1994
Probability Intervals: a Tool for uncertain Reasoning.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1994

Heuristic Algorithms for the Triangulation of Graphs.
Proceedings of the Advances in Intelligent Computing, 1994

Uncertainty Management Using Probability Intervals.
Proceedings of the Advances in Intelligent Computing, 1994

A Logical View of Probability.
Proceedings of the Eleventh European Conference on Artificial Intelligence, 1994

Markov Chain Monte-Carlo Algorithms for the Calculation of Dempster-Shafer Belief.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993
An axiomatic framework for propagating uncertainty in directed acyclic networks.
Int. J. Approx. Reason., 1993

DRUMS: Defeasible Reasoning and Uncertainty Management Systems.
AI Commun., 1993

Partially Specified Belief Functions.
Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

A Formal Language for Convex Sets of Probabilities.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1993

1992
Propagating uncertain information forward.
Int. J. Intell. Syst., 1992

Calculating Uncertainty Intervals from Conditional Convex Sets of Probabilities.
Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

1991
Combination of Upper and Lower Probabilities.
Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

Propagation of Uncertainty in Dependence Graphs.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1991

1990
The concept of conditional fuzzy measure.
Int. J. Intell. Syst., 1990

Updating Uncertain Information.
Proceedings of the Uncertainty in Knowledge Bases, 1990

1988
Logical Connectives for Combining Fuzzy Measures.
Proceedings of the Methodologies for Intelligent Systems, 1988


  Loading...