Logical Connectives for Combining Fuzzy Measures. - Luis M. de Campos; María Teresa Lamata; Serafín Moral (ISMIS, 1988)

Updating Uncertain Information. - Serafín Moral; Luis M. de Campos (IPMU, 1990)

The concept of conditional fuzzy measure. - Luis M. de Campos; María T. Lamata; Serafín Moral (Int. J. Intell. Syst., 1990)

Propagation of Uncertainty in Dependence Graphs. - José E. Cano; Miguel Delgado 001; Serafín Moral (ECSQARU, 1991)

Combination of Upper and Lower Probabilities. - José E. Cano; Serafín Moral; Juan F. Verdegay-López (UAI, 1991)

Calculating Uncertainty Intervals from Conditional Convex Sets of Probabilities. - Serafín Moral (UAI, 1992)

Propagating uncertain information forward. - Luis M. de Campos; Serafín Moral (Int. J. Intell. Syst., 1992)

A Formal Language for Convex Sets of Probabilities. - Serafín Moral (ECSQARU, 1993)

Partially Specified Belief Functions. - Serafín Moral; Luis M. de Campos (UAI, 1993)

DRUMS: Defeasible Reasoning and Uncertainty Management Systems. - Philippe Besnard; Yves Moinard; Wilmer Pereira; Michael Clarke; Nic Wilson; Miguel Delgado 001; Serafín Moral; Juan Cano; Didier Dubois; Henri Prade; Luis Fariñas del Cerro; Jérôme Lang; et al. (AI Commun., 1993)

An axiomatic framework for propagating uncertainty in directed acyclic networks. - José E. Cano; Miguel Delgado 001; Serafín Moral (Int. J. Approx. Reason., 1993)

Markov Chain Monte-Carlo Algorithms for the Calculation of Dempster-Shafer Belief. - Serafín Moral; Nic Wilson (AAAI, 1994)

A Logical View of Probability. - Nic Wilson; Serafín Moral (ECAI, 1994)

Uncertainty Management Using Probability Intervals. - Luis M. de Campos; Juan F. Huete; Serafín Moral (IPMU, 1994)

Heuristic Algorithms for the Triangulation of Graphs. - Andrés Cano; Serafín Moral (IPMU, 1994)

Probability Intervals: a Tool for uncertain Reasoning. - Luis M. de Campos; Juan F. Huete; Serafín Moral (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1994)

Independence Concepts for Convex Sets of Probabilities. - Luis M. de Campos; Serafín Moral (UAI, 1995)

Fast Markov Chain Algorithms for Calculating Dempster-Shafer Belief. - Nic Wilson; Serafín Moral (ECAI, 1996)

Importance sampling algorithms for the propagation of probabilities in belief networks. - José E. Cano; Luis D. Hernández; Serafín Moral (Int. J. Approx. Reason., 1996)

Inference with Idempotent Valuations. - Luis D. Hernández; Serafín Moral (UAI, 1997)

Removing partial inconsistency in valuation-based systems. - Luis M. de Campos; Serafín Moral (Int. J. Intell. Syst., 1997)

Mixing exact and importance sampling propagation algorithms in dependence graphs. - Luis D. Hernández; Serafín Moral (Int. J. Intell. Syst., 1997)

A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques. - Luis D. Hernández; Serafín Moral; Antonio Salmerón (Int. J. Approx. Reason., 1998)

A Monte Carlo Algorithm for Combining Dempster-Shafer Belief Based on Approximate Pre-computation. - Serafín Moral; Antonio Salmerón (ESCQARU, 1999)

A Review of Propagation Algorithms for Imprecise Probabilities. - Andrés Cano; Serafín Moral (ISIPTA, 1999)

Examples of Independence for Imprecise Probabilities. - Inés Couso; Serafín Moral; Peter Walley (ISIPTA, 1999)

Propositional Information Systems. - Jürg Kohlas; Rolf Haenni; Serafín Moral (J. Log. Comput., 1999)

Partial abductive inference in Bayesian belief networks using a genetic algorithm. - Luis M. de Campos; José A. Gámez 001; Serafín Moral (Pattern Recognit. Lett., 1999)

Reasoning with imprecise probabilities. - Fábio Gagliardi Cozman; Serafín Moral (Int. J. Approx. Reason., 2000)

Penniless propagation in join trees. - Andrés Cano; Serafín Moral; Antonio Salmerón (Int. J. Intell. Syst., 2000)

A Non-Specificity Measure for Convex Sets of Probability Distributions. - Joaquín Abellán; Serafín Moral (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000)

Network of probabilities associated with a capacity of order-2. - Juan F. Verdegay-López; Serafín Moral (Inf. Sci., 2000)

Qualitative Aggregation of Bayesian Networks. - José del Sagrado; Serafín Moral (Data Fusion and Perception, 2001)

Computing Intervals of Probabilities with Simulated Annealing and Probability Trees. - Andrés Cano; Serafín Moral (ECSQARU, 2001)

Mixtures of Truncated Exponentials in Hybrid Bayesian Networks. - Serafín Moral; Rafael Rumí; Antonio Salmerón (ECSQARU, 2001)

Importance Sampling in Bayesian Networks Using Antithetic Variables. - Antonio Salmerón; Serafín Moral (ECSQARU, 2001)

Accelerating chromosome evaluation for partial abductive inference in Bayesian networks by means of explanation set absorption. - Luis M. de Campos; José A. Gámez 001; Serafín Moral (Int. J. Approx. Reason., 2001)

Partial abductive inference in Bayesian belief networks by simulated annealing. - Luis M. de Campos; José A. Gámez 001; Serafín Moral (Int. J. Approx. Reason., 2001)

Fusion: General concepts and characteristics. - Isabelle Bloch; Anthony Hunter; Alain Appriou; André Ayoun; Salem Benferhat; Philippe Besnard; Laurence Cholvy; Roger M. Cooke; Frédéric Cuppens; Didier Dubois; Hélène Fargier; Michel Grabisch; et al. (Int. J. Intell. Syst., 2001)

Merging databases: Problems and examples. - Laurence Cholvy; Serafín Moral (Int. J. Intell. Syst., 2001)

Simplifying Explanations in Bayesian Belief Networks. - Luis M. de Campos; José A. Gámez 001; Serafín Moral (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001)

Partial Abductive Inference in Bayesian Networks: An Empirical Comparison Between GAs and EDAs. - L. M. Campos; José A. Gámez 001; Pedro Larrañaga; Serafín Moral; Txomin Romero (Estimation of Distribution Algorithms, 2002)

Factorisation of Probability Trees and its Application to Inference in Bayesian Networks. - Irene Martínez; Serafín Moral; Carmelo Rodríguez; Antonio Salmerón (Probabilistic Graphical Models, 2002)

Estimating Mixtures of Truncated Exponentials from Data. - Serafín Moral; Rafael Rumí; Antonio Salmerón (Probabilistic Graphical Models, 2002)

Different strategies to approximate probability trees in penniless propagation. - Andrés Cano; Serafín Moral; Antonio Salmerón (Inteligencia Artif., 2002)

Strong Conditional Independence for Credal Sets. - Serafín Moral; Andrés Cano (Ann. Math. Artif. Intell., 2002)

Using probability trees to compute marginals with imprecise probabilities. - Andrés Cano; Serafín Moral (Int. J. Approx. Reason., 2002)

Computing probability intervals with simulated annealing and probability trees. - Andrés Cano; Juan M. Fernández-Luna; Serafín Moral (J. Appl. Non Class. Logics, 2002)

Lazy evaluation in penniless propagation over join trees. - Andrés Cano; Serafín Moral; Antonio Salmerón (Networks, 2002)

Partial abductive inference in Bayesian belief networks - an evolutionary computation approach by using problem-specific genetic operators. - Luis M. de Campos; José A. Gámez 001; Serafín Moral (IEEE Trans. Evol. Comput., 2002)

Approximating Conditional MTE Distributions by Means of Mixed Trees. - Serafín Moral; Rafael Rumí; Antonio Salmerón (ECSQARU, 2003)

Dynamic Importance Sampling Computation in Bayesian Networks. - Serafín Moral; Antonio Salmerón (ECSQARU, 2003)

Partial Abductive Inference in Bayesian Networks By Using Probability Trees. - Luis M. de Campos; José A. Gámez 001; Serafín Moral (ICEIS (2), 2003)

Maximum of Entropy in Credal Classification. - Joaquín Abellán; Serafín Moral (ISIPTA, 2003)

Building classification trees using the total uncertainty criterion. - Joaquín Abellán; Serafín Moral (Int. J. Intell. Syst., 2003)

Novel strategies to approximate probability trees in penniless propagation. - Andrés Cano; Serafín Moral; Antonio Salmerón (Int. J. Intell. Syst., 2003)

Qualitative combination of Bayesian networks. - José del Sagrado; Serafín Moral (Int. J. Intell. Syst., 2003)

Maximum of Entropy for Credal Sets. - Joaquín Abellán; Serafín Moral (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2003)

Selective Gaussian Naïve Bayes Model for Diffuse Large-B-Cell Lymphoma Classification: Some Improvements in Preprocessing and Variable Elimination. - Andrés Cano; Francisco Javier García Castellano; Andrés R. Masegosa; Serafín Moral (ECSQARU, 2005)

Methods to Determine the Branching Attribute in Bayesian Multinets Classifiers. - Andrés Cano; Francisco Javier García Castellano; Andrés R. Masegosa; Serafín Moral (ECSQARU, 2005)

Abductive Inference in Bayesian Networks: Finding a Partition of the Explanation Space. - M. Julia Flores; José A. Gámez 001; Serafín Moral (ECSQARU, 2005)

Approximate Factorisation of Probability Trees. - Irene Martínez; Serafín Moral; Carmelo Rodríguez; Antonio Salmerón (ECSQARU, 2005)

Imprecise Probability in Graphical Models: Achievements and Challenges. - Serafín Moral (ECSQARU, 2005)

New Score for Independence Based on the Imprecise Dirichlet Model. - Joaquín Abellán; Serafín Moral (ISIPTA, 2005)

Application of a hill-climbing algorithm to exact and approximate inference in credal networks. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral (ISIPTA, 2005)

Epistemic irrelevance on sets of desirable gambles. - Serafín Moral (Ann. Math. Artif. Intell., 2005)

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

Upper entropy of credal sets. Applications to credal classification. - Joaquín Abellán; Serafín Moral (Int. J. Approx. Reason., 2005)

Dynamic importance sampling in Bayesian networks based on probability trees. - Serafín Moral; Antonio Salmerón (Int. J. Approx. Reason., 2005)

Difference of entropies as a non-specificity function on credal sets†. - Joaquín Abellán; Serafín Moral (Int. J. Gen. Syst., 2005)

Corrigendum: "a Non-specificity Measure for Convex Sets of Probability Distributions". - Joaquín Abellán; Serafín Moral (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2005)

Some Variations on the PC Algorithm. - Joaquín Abellán; Manuel Gómez-Olmedo; Serafín Moral (Probabilistic Graphical Models, 2006)

The Independency tree model: a new approach for clustering and factorisation. - M. Julia Flores; José A. Gámez 001; Serafín Moral (Probabilistic Graphical Models, 2006)

Varying Parameter in Classification Based on Imprecise Probabilities. - Joaquín Abellán; Serafín Moral; Manuel Gómez-Olmedo; Andrés R. Masegosa (SMPS, 2006)

A forward-backward Monte Carlo method for solving influence diagrams. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral (Int. J. Approx. Reason., 2006)

Disaggregated total uncertainty measure for credal sets. - Joaquín Abellán; George J. Klir; Serafín Moral (Int. J. Gen. Syst., 2006)

An Algorithm to Compute the Upper Entropy for Order-2 Capacities. - Joaquín Abellán; Serafín Moral (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2006)

A Semi-naive Bayes Classifier with Grouping of Cases. - Joaquín Abellán; Andrés Cano; Andrés R. Masegosa; Serafín Moral (ECSQARU, 2007)

Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral; Joaquín Abellán (Int. J. Approx. Reason., 2007)

Use of Explanation Treesto Describe the State Space of a Probabilistic-Based Abduction Problem. - M. Julia Flores; José A. Gámez 001; Serafín Moral (Innovations in Bayesian Networks, 2008)

Recursive Probability Trees for Bayesian Networks. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral; Cora B. Pérez-Ariza (CAEPIA, 2009)

Binary Probability Trees for Bayesian Networks Inference. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral (ECSQARU, 2009)

A Bayesian Random Split to Build Ensembles of Classification Trees. - Andrés Cano; Andrés R. Masegosa; Serafín Moral (ECSQARU, 2009)

An Importance Sampling Approach to Integrate Expert Knowledge When Learning Bayesian Networks From Data. - Andrés Cano; Andrés R. Masegosa; Serafín Moral (IPMU, 2010)

Imprecise probability in statistical inference and decision making. - Thomas Augustin 001; Frank P. A. Coolen; Serafín Moral; Matthias C. M. Troffaes (Int. J. Approx. Reason., 2010)

Independence concepts in evidence theory. - Inés Couso; Serafín Moral (Int. J. Approx. Reason., 2010)

Locally Averaged Bayesian Dirichlet Metrics. - Andrés Cano; Manuel Gómez-Olmedo; Andrés R. Masegosa; Serafín Moral (ECSQARU, 2011)

Bayesian networks classifiers for gene-expression data. - Luis M. de Campos; Andrés Cano; Javier G. Castellano; Serafín Moral (ISDA, 2011)

Learning with Bayesian networks and probability trees to approximate a joint distribution. - Andrés Cano; Manuel Gómez-Olmedo; Andrés R. Masegosa; Serafín Moral (ISDA, 2011)

Probabilistic graphical models in artificial intelligence. - Pedro Larrañaga; Serafín Moral (Appl. Soft Comput., 2011)

A memory efficient semi-Naive Bayes classifier with grouping of cases. - Joaquín Abellán; Andrés Cano; Andrés R. Masegosa; Serafín Moral (Intell. Data Anal., 2011)

Approximate inference in Bayesian networks using binary probability trees. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral (Int. J. Approx. Reason., 2011)

Sets of desirable gambles: Conditioning, representation, and precise probabilities. - Inés Couso; Serafín Moral (Int. J. Approx. Reason., 2011)

A Method for Integrating Expert Knowledge When Learning Bayesian Networks From Data. - Andrés Cano; Andrés R. Masegosa; Serafín Moral (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Haplotype-based Classifiers to Predict Individual Susceptibility to Complex Diseases - An Example for Multiple Sclerosis. - María M. Abad-Grau; Nuria Medina-Medina; Andrés R. Masegosa; Serafín Moral (BIOINFORMATICS, 2012)

Determining dependence relations using a new score based on imprecise probabilities. - Joaquín Abellán; Serafín Moral (Intell. Data Anal., 2012)

Learning recursive probability trees from probabilistic potentials. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral; Cora B. Pérez-Ariza; Antonio Salmerón (Int. J. Approx. Reason., 2012)

Editorial - Imprecise probability. - Frank P. A. Coolen; Thomas Fetz; Serafín Moral; Michael Oberguggenberger (Int. J. Approx. Reason., 2012)

Imprecise probabilities for representing ignorance about a parameter. - Serafín Moral (Int. J. Approx. Reason., 2012)

A Bayesian stochastic search method for discovering Markov boundaries. - Andrés R. Masegosa; Serafín Moral (Knowl. Based Syst., 2012)

Learning Recursive Probability Trees from Data. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral; Cora Beatriz Pérez-Ariza; Antonio Salmerón (CAEPIA, 2013)

Learning classifiers from discretized expression quantitative trait loci. - Andres Masegosa Arredondo; María del Mar Abad-Grau; Serafín Moral; Fuencisla Matesanz (IWBBIO, 2013)

New strategies for finding multiplicative decompositions of probability trees. - Irene Martínez; Serafín Moral; Carmelo Rodríguez; Antonio Salmerón (Appl. Math. Comput., 2013)

New skeleton-based approaches for Bayesian structure learning of Bayesian networks. - Andrés R. Masegosa; Serafín Moral (Appl. Soft Comput., 2013)

Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (1998) - Gregory F. Cooper; Serafín Moral (CoRR, 2013)

Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks. - Andrés Cano; Manuel Gómez-Olmedo; Andrés R. Masegosa; Serafín Moral (Int. J. Approx. Reason., 2013)

An interactive approach for Bayesian network learning using domain/expert knowledge. - Andrés R. Masegosa; Serafín Moral (Int. J. Approx. Reason., 2013)

Inference in Bayesian Networks with Recursive Probability Trees: Data Structure Definition and Operations. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral; Cora B. Pérez-Ariza; Antonio Salmerón (Int. J. Intell. Syst., 2013)

Increasing Power by using Haplotype Similarity in a Multimarker Transmission/disequilibrium Test. - María M. Abad-Grau; Nuria Medina-Medina; Serafín Moral; Rosana Montes-Soldado; Sergio Torres-Sánchez; Fuencisla Matesanz (J. Bioinform. Comput. Biol., 2013)

Extended Probability Trees for Probabilistic Graphical Models. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral; Cora B. Pérez-Ariza (Probabilistic Graphical Models, 2014)

Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks. - Andrés R. Masegosa; Serafín Moral (Int. J. Approx. Reason., 2014)

Rejoinder on "Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks". - Andrés R. Masegosa; Serafín Moral (Int. J. Approx. Reason., 2014)

Comments on "Statistical reasoning with set-valued information: Ontic vs. epistemic view" by Inés Couso and Didier Dubois. - Serafín Moral (Int. J. Approx. Reason., 2014)

Comments on "Likelihood-based belief function: Justification and some extensions to low-quality data" by Thierry Denœux. - Serafín Moral (Int. J. Approx. Reason., 2014)

Discretization of Simulated Flight Parameters for Estimation of Situational Awareness Using Dynamic Bayesian Networks. - Carlos Morales; Serafín Moral (ISADS, 2015)

Recent Advances in Probabilistic Graphical Models. - Concha Bielza; Serafín Moral; Antonio Salmerón (Int. J. Intell. Syst., 2015)

The behavioral meaning of the median. - Inés Couso; Serafín Moral; Luciano Sánchez (Inf. Sci., 2015)

Learning Bayesian network by a mesh of points. - Byron Oviedo; Luís Moreira; Amilkar Puris; Pavel Novoa-Hernández; Serafín Moral (CEC, 2016)

Regression Methods Applied to Flight Variables for Situational Awareness Estimation Using Dynamic Bayesian Networks. - Carlos Morales; Serafín Moral (Probabilistic Graphical Models, 2016)

A hierarchical clustering method: Applications to educational data. - Byron Oviedo; Serafín Moral; Amilkar Puris (Intell. Data Anal., 2016)

Modeling aircrew information management for estimation of situational awareness using dynamic Bayesian networks. - Carlos Morales; Serafín Moral (Simul. Model. Pract. Theory, 2016)

Estimating Conditional Probabilities by Mixtures of Low Order Conditional Distributions. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral (SUM, 2017)

Virtual Subconcept Drift Detection in Discrete Data Using Probabilistic Graphical Models. - Rafael Cabañas 001; Andrés Cano; Manuel Gómez-Olmedo; Andrés R. Masegosa; Serafín Moral (IPMU (3), 2018)

Credal C4.5 with Refinement of Parameters. - Carlos Javier Mantas; Joaquín Abellán; Javier G. Castellano; José Ramón Cano; Serafín Moral (IPMU (3), 2018)

Divergence Measures and Approximate Algorithms for Valuation Based Systems. - Serafín Moral (IPMU (3), 2018)

Increasing diversity in random forest learning algorithm via imprecise probabilities. - Joaquín Abellán; Carlos Javier Mantas; Javier G. Castellano; Serafín Moral (Expert Syst. Appl., 2018)

Using Credal-C4.5 with Binary Relevance for Multi-Label Classification. - Serafín Moral-García; Carlos Javier Mantas; Javier G. Castellano; Joaquín Abellán (J. Intell. Fuzzy Syst., 2018)

Combination in Dempster-Shafer Theory Based on a Disagreement Factor Between Evidences. - Joaquín Abellán; Serafín Moral-García; María D. Benítez (ECSQARU, 2019)

Flight Trajectory Clustering: a framework that uses Planned Route data. - Carlos Morales; Serafín Moral (ISADS, 2019)

Decision Tree Ensemble Method for Analyzing Traffic Accidents of Novice Drivers in Urban Areas. - Serafín Moral-García; Javier G. Castellano; Carlos Javier Mantas; Alfonso Montella; Joaquín Abellán (Entropy, 2019)

Learning with imprecise probabilities as model selection and averaging. - Serafín Moral (Int. J. Approx. Reason., 2019)

A Bayesian approach to abrupt concept drift. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral (Knowl. Based Syst., 2019)

Ensemble of classifier chains and Credal C4.5 for solving multi-label classification. - Serafín Moral-García; Carlos Javier Mantas; Javier G. Castellano; Joaquín Abellán (Prog. Artif. Intell., 2019)

A comparison of random forest based algorithms: random credal random forest versus oblique random forest. - Carlos Javier Mantas; Javier G. Castellano; Serafín Moral-García; Joaquín Abellán (Soft Comput., 2019)

Learning Sets of Bayesian Networks. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral (IPMU (2), 2020)

Imprecise Classification with Non-parametric Predictive Inference. - Serafín Moral; Carlos Javier Mantas; Javier G. Castellano; Joaquín Abellán (IPMU (2), 2020)

Maximum of Entropy for Belief Intervals Under Evidence Theory. - Serafín Moral-García; Joaquín Abellán (IEEE Access, 2020)

Non-parametric predictive inference for solving multi-label classification. - Serafín Moral-García; Carlos Javier Mantas; Javier G. Castellano; Joaquín Abellán (Appl. Soft Comput., 2020)

Bagging of credal decision trees for imprecise classification. - Serafín Moral-García; Carlos Javier Mantas; Javier G. Castellano; María D. Benítez; Joaquín Abellán (Expert Syst. Appl., 2020)

MPE Computation in Bayesian Networks Using Mini-Bucket and Probability Trees Approximation. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral; Serafín Moral-García (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020)

MPE Computation in Bayesian Networks Using Mini-Bucket and Probability Trees Approximation. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral; Serafín Moral-García (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020)

On the Use of m-Probability-Estimation and Imprecise Probabilities in the Naïve Bayes Classifier. - Javier G. Castellano; Serafín Moral-García; Carlos Javier Mantas; Joaquín Abellán (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020)

Basic Probability Assignments Representable via Belief Intervals for Singletons in Dempster-Shafer Theory. - Serafín Moral-García; Joaquín Abellán (ISIPTA, 2021)

Computation of Kullback-Leibler Divergence in Bayesian Networks. - Serafín Moral; Andrés Cano; Manuel Gómez-Olmedo (Entropy, 2021)

Combination in the theory of evidence via a new measurement of the conflict between evidences. - Joaquín Abellán; Serafín Moral-García; María D. Benítez (Expert Syst. Appl., 2021)

Credal sets representable by reachable probability intervals and belief functions. - Serafín Moral-García; Joaquín Abellán (Int. J. Approx. Reason., 2021)

A Decision Support Tool for Credit Domains: Bayesian Network with a Variable Selector Based on Imprecise Probabilities. - Javier G. Castellano; Serafín Moral-García; Carlos Javier Mantas; María D. Benítez; Joaquín Abellán (Int. J. Fuzzy Syst., 2021)

Uncertainty-based information measures on the approximate non-parametric predictive inference model. - Serafín Moral-García; Joaquín Abellán (Int. J. Gen. Syst., 2021)

Value-based potentials: Exploiting quantitative information regularity patterns in probabilistic graphical models. - Manuel Gómez-Olmedo; Rafael Cabañas 001; Andrés Cano; Serafín Moral; Ofelia P. Retamero (Int. J. Intell. Syst., 2021)

Required mathematical properties and behaviors of uncertainty measures on belief intervals. - Serafín Moral-García; Joaquín Abellán (Int. J. Intell. Syst., 2021)

A cost-sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference. - Serafín Moral-García; Joaquín Abellán; Tahani Coolen-Maturi; Frank P. A. Coolen (Appl. Soft Comput., 2022)

Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification. - Serafín Moral-García; Carlos Javier Mantas; Javier G. Castellano; Joaquín Abellán (Int. J. Approx. Reason., 2022)

A new label ordering method in Classifier Chains based on imprecise probabilities. - Serafín Moral-García; Javier G. Castellano; Carlos Javier Mantas; Joaquín Abellán (Neurocomputing, 2022)

Using extreme prior probabilities on the Naive Credal Classifier. - Serafín Moral-García; Javier G. Castellano; Carlos Javier Mantas; Joaquín Abellán (Knowl. Based Syst., 2022)

Assessment of Situation Awareness and Automation in Performance-Based Navigation Procedures. - Carlos Morales; Serafín Moral (ISADS, 2023)

Improving the Results in Credit Scoring by Increasing Diversity in Ensembles of Classifiers. - Serafín Moral-García; Joaquín Abellán (IEEE Access, 2023)

A Variation of the Algorithm to Achieve the Maximum Entropy for Belief Functions. - Joaquín Abellán; Alejandro Pérez-Lara; Serafín Moral-García (Entropy, 2023)

Upgrading the Fusion of Imprecise Classifiers. - Serafín Moral-García; María D. Benítez; Joaquín Abellán (Entropy, 2023)

Imprecise probabilistic models based on hierarchical intervals. - Serafín Moral; Andrés Cano; Manuel Gómez-Olmedo (Inf. Sci., 2023)

A Bayesian Imprecise Classification method that weights instances using the error costs. - Serafín Moral-García; Tahani Coolen-Maturi; Frank P. A. Coolen; Joaquín Abellán (Appl. Soft Comput., 2024)

Lazy Multi-Label Classification algorithms based on Non-Parametric Predictive Inference. - Serafín Moral-García; Joaquín Abellán (Expert Syst. Appl., 2024)

Desirable gambles based on pairwise comparisons. - Serafín Moral (Int. J. Approx. Reason., 2024)

A Bagging algorithm for imprecise classification in cost-sensitive scenarios. - Serafín Moral-García; Andrés R. Masegosa; Joaquín Abellán (Inf. Sci., 2025)