Serafín Moral

151 papers A* 1A 8B 1C 27Journal 81Unranked 27

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Distance Measure for Random Permutation Set: From the Layer-2 Belief Structure Perspective. CoRR Ruolan Cheng, Yong Deng, Serafín Moral, José Ramón Trillo
2024	J	`jnl`	Desirable gambles based on pairwise comparisons. Int. J. Approx. Reason. Serafín Moral
2023	C	`conf`	Assessment of Situation Awareness and Automation in Performance-Based Navigation Procedures. ISADS Carlos Morales, Serafín Moral
2023	J	`jnl`	Imprecise probabilistic models based on hierarchical intervals. Inf. Sci. Serafín Moral, Andrés Cano, Manuel Gómez-Olmedo
2021	J	`jnl`	Computation of Kullback-Leibler Divergence in Bayesian Networks. Entropy Serafín Moral, Andrés Cano, Manuel Gómez-Olmedo
2021	—	`ed.`	International Symposium on Imprecise Probability: Theories and Applications, ISIPTA 2021, 6-9 July 2021, University of Granada, Granada, Spain. ISIPTA Andrés Cano, Jasper De Bock, Enrique Miranda, Serafín Moral
2021	J	`jnl`	Value-based potentials: Exploiting quantitative information regularity patterns in probabilistic graphical models. Int. J. Intell. Syst. Manuel Gómez-Olmedo, Rafael Cabañas, Andrés Cano, Serafín Moral, Ofelia P. Retamero
2020	—	`conf`	Imprecise Classification with Non-parametric Predictive Inference. IPMU (2) Serafín Moral, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán
2020	—	`conf`	Learning Sets of Bayesian Networks. IPMU (2) Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral
2020	J	`jnl`	MPE Computation in Bayesian Networks Using Mini-Bucket and Probability Trees Approximation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Serafín Moral-García
2019	J	`jnl`	A Bayesian approach to abrupt concept drift. Knowl. Based Syst. Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral
2019	C	`conf`	Flight Trajectory Clustering: a framework that uses Planned Route data. ISADS Carlos Morales, Serafín Moral
2019	J	`jnl`	Learning with imprecise probabilities as model selection and averaging. Int. J. Approx. Reason. Serafín Moral
2018	—	`conf`	Credal C4.5 with Refinement of Parameters. IPMU (3) Carlos Javier Mantas, Joaquín Abellán, Javier G. Castellano, José Ramón Cano, Serafín Moral
2018	—	`conf`	Divergence Measures and Approximate Algorithms for Valuation Based Systems. IPMU (3) Serafín Moral
2018	J	`jnl`	Increasing diversity in random forest learning algorithm via imprecise probabilities. Expert Syst. Appl. Joaquín Abellán, Carlos Javier Mantas, Javier G. Castellano, Serafín Moral
2018	—	`conf`	Virtual Subconcept Drift Detection in Discrete Data Using Probabilistic Graphical Models. IPMU (3) Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral
2017	—	`conf`	Estimating Conditional Probabilities by Mixtures of Low Order Conditional Distributions. SUM Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral
2017	—	`ed.`	Scalable Uncertainty Management - 11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017, Proceedings SUM Serafín Moral, Olivier Pivert, Daniel Sánchez, Nicolás Marín
2016	J	`jnl`	A hierarchical clustering method: Applications to educational data. Intell. Data Anal. Byron Oviedo, Serafín Moral, Amilkar Puris
2016	B	`conf`	Learning Bayesian network by a mesh of points. CEC Byron Oviedo, Luís Moreira, Amilkar Puris, Pavel Novoa-Hernández, Serafín Moral
2016	J	`jnl`	Modeling aircrew information management for estimation of situational awareness using dynamic Bayesian networks. Simul. Model. Pract. Theory Carlos Morales, Serafín Moral
2016	—	`conf`	Regression Methods Applied to Flight Variables for Situational Awareness Estimation Using Dynamic Bayesian Networks. Probabilistic Graphical Models Carlos Morales, Serafín Moral
2015	C	`conf`	Discretization of Simulated Flight Parameters for Estimation of Situational Awareness Using Dynamic Bayesian Networks. ISADS Carlos Morales, Serafín Moral
2015	J	`jnl`	Recent Advances in Probabilistic Graphical Models. Int. J. Intell. Syst. Concha Bielza, Serafín Moral, Antonio Salmerón
2015	J	`jnl`	The behavioral meaning of the median. Inf. Sci. Inés Couso, Serafín Moral, Luciano Sánchez
2014	J	`jnl`	Comments on "Likelihood-based belief function: Justification and some extensions to low-quality data" by Thierry Denœux. Int. J. Approx. Reason. Serafín Moral
2014	J	`jnl`	Comments on "Statistical reasoning with set-valued information: Ontic vs. epistemic view" by Inés Couso and Didier Dubois. Int. J. Approx. Reason. Serafín Moral
2014	—	`conf`	Extended Probability Trees for Probabilistic Graphical Models. Probabilistic Graphical Models Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza
2014	J	`jnl`	Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks. Int. J. Approx. Reason. Andrés R. Masegosa, Serafín Moral
2014	J	`jnl`	Rejoinder on "Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks". Int. J. Approx. Reason. Andrés R. Masegosa, Serafín Moral
2013	J	`jnl`	An interactive approach for Bayesian network learning using domain/expert knowledge. Int. J. Approx. Reason. Andrés R. Masegosa, Serafín Moral
2013	J	`jnl`	Calculating Uncertainty Intervals From Conditional Convex Sets of Probabilities CoRR Serafín Moral
2013	J	`jnl`	Combination of Upper and Lower Probabilities CoRR José E. Cano, Serafín Moral, Juan F. Verdegay-López
2013	J	`jnl`	Increasing Power by using Haplotype Similarity in a Multimarker Transmission/disequilibrium Test. J. Bioinform. Comput. Biol. María M. Abad-Grau, Nuria Medina-Medina, Serafín Moral, Rosana Montes-Soldado, Sergio Torres-Sánchez, Fuencisla Matesanz
2013	J	`jnl`	Independence Concepts for Convex Sets of Probabilities CoRR Luis M. de Campos, Serafín Moral
2013	J	`jnl`	Inference in Bayesian Networks with Recursive Probability Trees: Data Structure Definition and Operations. Int. J. Intell. Syst. Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza, Antonio Salmerón
2013	J	`jnl`	Inference with Idempotent Valuations CoRR Luis D. Hernández, Serafín Moral
2013	—	`conf`	Learning Recursive Probability Trees from Data. CAEPIA Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora Beatriz Pérez-Ariza, Antonio Salmerón
2013	—	`conf`	Learning classifiers from discretized expression quantitative trait loci. IWBBIO Andres Masegosa Arredondo, María del Mar Abad-Grau, Serafín Moral, Fuencisla Matesanz
2013	J	`jnl`	Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks. Int. J. Approx. Reason. Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral
2013	J	`jnl`	New skeleton-based approaches for Bayesian structure learning of Bayesian networks. Appl. Soft Comput. Andrés R. Masegosa, Serafín Moral
2013	J	`jnl`	New strategies for finding multiplicative decompositions of probability trees. Appl. Math. Comput. Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón
2013	J	`jnl`	Partially Specified Belief Functions CoRR Serafín Moral, Luis M. de Campos
2013	J	`jnl`	Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (1998) CoRR Gregory F. Cooper, Serafín Moral
2012	J	`jnl`	A Bayesian stochastic search method for discovering Markov boundaries. Knowl. Based Syst. Andrés R. Masegosa, Serafín Moral
2012	J	`jnl`	Determining dependence relations using a new score based on imprecise probabilities. Intell. Data Anal. Joaquín Abellán, Serafín Moral
2012	J	`jnl`	Editorial - Imprecise probability. Int. J. Approx. Reason. Frank P. A. Coolen, Thomas Fetz, Serafín Moral, Michael Oberguggenberger
2012	—	`conf`	Haplotype-based Classifiers to Predict Individual Susceptibility to Complex Diseases - An Example for Multiple Sclerosis. BIOINFORMATICS María M. Abad-Grau, Nuria Medina-Medina, Andrés R. Masegosa, Serafín Moral
2012	J	`jnl`	Imprecise probabilities for representing ignorance about a parameter. Int. J. Approx. Reason. Serafín Moral
2012	J	`jnl`	Learning recursive probability trees from probabilistic potentials. Int. J. Approx. Reason. Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza, Antonio Salmerón
2011	J	`jnl`	A Method for Integrating Expert Knowledge When Learning Bayesian Networks From Data. IEEE Trans. Syst. Man Cybern. Part B Andrés Cano, Andrés R. Masegosa, Serafín Moral
2011	J	`jnl`	A memory efficient semi-Naive Bayes classifier with grouping of cases. Intell. Data Anal. Joaquín Abellán, Andrés Cano, Andrés R. Masegosa, Serafín Moral
2011	J	`jnl`	Approximate inference in Bayesian networks using binary probability trees. Int. J. Approx. Reason. Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral
2011	C	`conf`	Bayesian networks classifiers for gene-expression data. ISDA Luis M. de Campos, Andrés Cano, Javier G. Castellano, Serafín Moral
2011	C	`conf`	Learning with Bayesian networks and probability trees to approximate a joint distribution. ISDA Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral
2011	C	`conf`	Locally Averaged Bayesian Dirichlet Metrics. ECSQARU Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral
2011	J	`jnl`	Probabilistic graphical models in artificial intelligence. Appl. Soft Comput. Pedro Larrañaga, Serafín Moral
2011	J	`jnl`	Sets of desirable gambles: Conditioning, representation, and precise probabilities. Int. J. Approx. Reason. Inés Couso, Serafín Moral
2010	C	`conf`	An Importance Sampling Approach to Integrate Expert Knowledge When Learning Bayesian Networks From Data. IPMU Andrés Cano, Andrés R. Masegosa, Serafín Moral
2010	J	`jnl`	Imprecise probability in statistical inference and decision making. Int. J. Approx. Reason. Thomas Augustin, Frank P. A. Coolen, Serafín Moral, Matthias C. M. Troffaes
2010	J	`jnl`	Independence concepts in evidence theory. Int. J. Approx. Reason. Inés Couso, Serafín Moral
2009	C	`conf`	A Bayesian Random Split to Build Ensembles of Classification Trees. ECSQARU Andrés Cano, Andrés R. Masegosa, Serafín Moral
2009	C	`conf`	Binary Probability Trees for Bayesian Networks Inference. ECSQARU Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral
2009	—	`conf`	Recursive Probability Trees for Bayesian Networks. CAEPIA Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza
2008	—	`ch.`	Use of Explanation Treesto Describe the State Space of a Probabilistic-Based Abduction Problem. Innovations in Bayesian Networks M. Julia Flores, José A. Gámez, Serafín Moral
2007	C	`conf`	A Semi-naive Bayes Classifier with Grouping of Cases. ECSQARU Joaquín Abellán, Andrés Cano, Andrés R. Masegosa, Serafín Moral
2007	J	`jnl`	Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks. Int. J. Approx. Reason. Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Joaquín Abellán
2006	J	`jnl`	A forward-backward Monte Carlo method for solving influence diagrams. Int. J. Approx. Reason. Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral
2006	J	`jnl`	An Algorithm to Compute the Upper Entropy for Order-2 Capacities. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Joaquín Abellán, Serafín Moral
2006	J	`jnl`	Disaggregated total uncertainty measure for credal sets. Int. J. Gen. Syst. Joaquín Abellán, George J. Klir, Serafín Moral
2006	—	`conf`	Some Variations on the PC Algorithm. Probabilistic Graphical Models Joaquín Abellán, Manuel Gómez-Olmedo, Serafín Moral
2006	—	`conf`	The Independency tree model: a new approach for clustering and factorisation. Probabilistic Graphical Models M. Julia Flores, José A. Gámez, Serafín Moral
2006	—	`conf`	Varying Parameter in Classification Based on Imprecise Probabilities. SMPS Joaquín Abellán, Serafín Moral, Manuel Gómez-Olmedo, Andrés R. Masegosa
2005	C	`conf`	Abductive Inference in Bayesian Networks: Finding a Partition of the Explanation Space. ECSQARU M. Julia Flores, José A. Gámez, Serafín Moral
2005	—	`conf`	Application of a hill-climbing algorithm to exact and approximate inference in credal networks. ISIPTA Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral
2005	C	`conf`	Approximate Factorisation of Probability Trees. ECSQARU Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón
2005	J	`jnl`	Comments on 'a behavioural model for vague probability assessments' (G. de Cooman). Fuzzy Sets Syst. Serafín Moral
2005	J	`jnl`	Corrigendum: "a Non-specificity Measure for Convex Sets of Probability Distributions". Int. J. Uncertain. Fuzziness Knowl. Based Syst. Joaquín Abellán, Serafín Moral
2005	J	`jnl`	Difference of entropies as a non-specificity function on credal sets†. Int. J. Gen. Syst. Joaquín Abellán, Serafín Moral
2005	J	`jnl`	Dynamic importance sampling in Bayesian networks based on probability trees. Int. J. Approx. Reason. Serafín Moral, Antonio Salmerón
2005	J	`jnl`	Epistemic irrelevance on sets of desirable gambles. Ann. Math. Artif. Intell. Serafín Moral
2005	C	`conf`	Imprecise Probability in Graphical Models: Achievements and Challenges. ECSQARU Serafín Moral
2005	C	`conf`	Methods to Determine the Branching Attribute in Bayesian Multinets Classifiers. ECSQARU Andrés Cano, Francisco Javier García Castellano, Andrés R. Masegosa, Serafín Moral
2005	—	`conf`	New Score for Independence Based on the Imprecise Dirichlet Model. ISIPTA Joaquín Abellán, Serafín Moral
2005	C	`conf`	Selective Gaussian Naïve Bayes Model for Diffuse Large-B-Cell Lymphoma Classification: Some Improvements in Preprocessing and Variable Elimination. ECSQARU Andrés Cano, Francisco Javier García Castellano, Andrés R. Masegosa, Serafín Moral
2005	J	`jnl`	Upper entropy of credal sets. Applications to credal classification. Int. J. Approx. Reason. Joaquín Abellán, Serafín Moral
2003	C	`conf`	Approximating Conditional MTE Distributions by Means of Mixed Trees. ECSQARU Serafín Moral, Rafael Rumí, Antonio Salmerón
2003	J	`jnl`	Building classification trees using the total uncertainty criterion. Int. J. Intell. Syst. Joaquín Abellán, Serafín Moral
2003	C	`conf`	Dynamic Importance Sampling Computation in Bayesian Networks. ECSQARU Serafín Moral, Antonio Salmerón
2003	J	`jnl`	Maximum of Entropy for Credal Sets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Joaquín Abellán, Serafín Moral
2003	—	`conf`	Maximum of Entropy in Credal Classification. ISIPTA Joaquín Abellán, Serafín Moral
2003	J	`jnl`	Novel strategies to approximate probability trees in penniless propagation. Int. J. Intell. Syst. Andrés Cano, Serafín Moral, Antonio Salmerón
2003	—	`conf`	Partial Abductive Inference in Bayesian Networks By Using Probability Trees. ICEIS (2) Luis M. de Campos, José A. Gámez, Serafín Moral
2003	J	`jnl`	Qualitative combination of Bayesian networks. Int. J. Intell. Syst. José del Sagrado, Serafín Moral
2002	J	`jnl`	Computing probability intervals with simulated annealing and probability trees. J. Appl. Non Class. Logics Andrés Cano, Juan M. Fernández-Luna, Serafín Moral
2002	J	`jnl`	Different strategies to approximate probability trees in penniless propagation. Inteligencia Artif. Andrés Cano, Serafín Moral, Antonio Salmerón
2002	—	`conf`	Estimating Mixtures of Truncated Exponentials from Data. Probabilistic Graphical Models Serafín Moral, Rafael Rumí, Antonio Salmerón
2002	—	`conf`	Factorisation of Probability Trees and its Application to Inference in Bayesian Networks. Probabilistic Graphical Models Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón
2002	J	`jnl`	Lazy evaluation in penniless propagation over join trees. Networks Andrés Cano, Serafín Moral, Antonio Salmerón
2002	—	`ch.`	Partial Abductive Inference in Bayesian Networks: An Empirical Comparison Between GAs and EDAs. Estimation of Distribution Algorithms L. M. Campos, José A. Gámez, Pedro Larrañaga, Serafín Moral, Txomin Romero
2002	J	`jnl`	Partial abductive inference in Bayesian belief networks - an evolutionary computation approach by using problem-specific genetic operators. IEEE Trans. Evol. Comput. Luis M. de Campos, José A. Gámez, Serafín Moral
2002	J	`jnl`	Strong Conditional Independence for Credal Sets. Ann. Math. Artif. Intell. Serafín Moral, Andrés Cano
2002	J	`jnl`	Using probability trees to compute marginals with imprecise probabilities. Int. J. Approx. Reason. Andrés Cano, Serafín Moral
2001	J	`jnl`	Accelerating chromosome evaluation for partial abductive inference in Bayesian networks by means of explanation set absorption. Int. J. Approx. Reason. Luis M. de Campos, José A. Gámez, Serafín Moral
2001	—	`conf`	Building classification trees using the total uncertainty criterion. ISIPTA Joaquín Abellán, Serafín Moral
2001	C	`conf`	Computing Intervals of Probabilities with Simulated Annealing and Probability Trees. ECSQARU Andrés Cano, Serafín Moral
2001	—	`conf`	Epistemic Irrelevance on Sets of Desirable Gambles. ISIPTA Serafín Moral
2001	J	`jnl`	Fusion: General concepts and characteristics. Int. J. Intell. Syst. 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, Rudolf Kruse, Jérôme Lang, Serafín Moral, Henri Prade, Alessandro Saffiotti, Philippe Smets, Claudio Sossai
2001	C	`conf`	Importance Sampling in Bayesian Networks Using Antithetic Variables. ECSQARU Antonio Salmerón, Serafín Moral
2001	J	`jnl`	Merging databases: Problems and examples. Int. J. Intell. Syst. Laurence Cholvy, Serafín Moral
2001	C	`conf`	Mixtures of Truncated Exponentials in Hybrid Bayesian Networks. ECSQARU Serafín Moral, Rafael Rumí, Antonio Salmerón
2001	J	`jnl`	Partial abductive inference in Bayesian belief networks by simulated annealing. Int. J. Approx. Reason. Luis M. de Campos, José A. Gámez, Serafín Moral
2001	—	`ch.`	Qualitative Aggregation of Bayesian Networks. Data Fusion and Perception José del Sagrado, Serafín Moral
2001	J	`jnl`	Simplifying Explanations in Bayesian Belief Networks. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Luis M. de Campos, José A. Gámez, Serafín Moral
2000	J	`jnl`	A Non-Specificity Measure for Convex Sets of Probability Distributions. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Joaquín Abellán, Serafín Moral
2000	J	`jnl`	Network of probabilities associated with a capacity of order-2. Inf. Sci. Juan F. Verdegay-López, Serafín Moral
2000	J	`jnl`	Penniless propagation in join trees. Int. J. Intell. Syst. Andrés Cano, Serafín Moral, Antonio Salmerón
2000	J	`jnl`	Reasoning with imprecise probabilities. Int. J. Approx. Reason. Fábio Gagliardi Cozman, Serafín Moral
1999	—	`conf`	A Monte Carlo Algorithm for Combining Dempster-Shafer Belief Based on Approximate Pre-computation. ESCQARU Serafín Moral, Antonio Salmerón
1999	—	`conf`	A Non-specificity Measure for Convex Sets of Probability Distributions. ISIPTA Joaquín Abellán, Serafín Moral
1999	—	`conf`	A Review of Propagation Algorithms for Imprecise Probabilities. ISIPTA Andrés Cano, Serafín Moral
1999	—	`conf`	Examples of Independence for Imprecise Probabilities. ISIPTA Inés Couso, Serafín Moral, Peter Walley
1999	—	`ed.`	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 - 2 July 1999 ISIPTA Gert de Cooman, Fábio Gagliardi Cozman, Serafín Moral, Peter Walley
1999	J	`jnl`	Partial abductive inference in Bayesian belief networks using a genetic algorithm. Pattern Recognit. Lett. Luis M. de Campos, José A. Gámez, Serafín Moral
1999	J	`jnl`	Propositional Information Systems. J. Log. Comput. Jürg Kohlas, Rolf Haenni, Serafín Moral
1998	J	`jnl`	A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques. Int. J. Approx. Reason. Luis D. Hernández, Serafín Moral, Antonio Salmerón
1998	A	`ed.`	UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, University of Wisconsin Business School, Madison, Wisconsin, USA, July 24-26, 1998 UAI Gregory F. Cooper, Serafín Moral
1997	A	`conf`	Inference with Idempotent Valuations. UAI Luis D. Hernández, Serafín Moral
1997	J	`jnl`	Mixing exact and importance sampling propagation algorithms in dependence graphs. Int. J. Intell. Syst. Luis D. Hernández, Serafín Moral
1997	J	`jnl`	Removing partial inconsistency in valuation-based systems. Int. J. Intell. Syst. Luis M. de Campos, Serafín Moral
1996	A	`conf`	Fast Markov Chain Algorithms for Calculating Dempster-Shafer Belief. ECAI Nic Wilson, Serafín Moral
1996	J	`jnl`	Importance sampling algorithms for the propagation of probabilities in belief networks. Int. J. Approx. Reason. José E. Cano, Luis D. Hernández, Serafín Moral
1995	A	`conf`	Independence Concepts for Convex Sets of Probabilities. UAI Luis M. de Campos, Serafín Moral
1994	A	`conf`	A Logical View of Probability. ECAI Nic Wilson, Serafín Moral
1994	C	`conf`	Heuristic Algorithms for the Triangulation of Graphs. IPMU Andrés Cano, Serafín Moral
1994	A*	`conf`	Markov Chain Monte-Carlo Algorithms for the Calculation of Dempster-Shafer Belief. AAAI Serafín Moral, Nic Wilson
1994	J	`jnl`	Probability Intervals: a Tool for uncertain Reasoning. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Luis M. de Campos, Juan F. Huete, Serafín Moral
1994	C	`conf`	Uncertainty Management Using Probability Intervals. IPMU Luis M. de Campos, Juan F. Huete, Serafín Moral
1993	C	`conf`	A Formal Language for Convex Sets of Probabilities. ECSQARU Serafín Moral
1993	J	`jnl`	An axiomatic framework for propagating uncertainty in directed acyclic networks. Int. J. Approx. Reason. José E. Cano, Miguel Delgado, Serafín Moral
1993	J	`jnl`	DRUMS: Defeasible Reasoning and Uncertainty Management Systems. AI Commun. Philippe Besnard, Yves Moinard, Wilmer Pereira, Michael Clarke, Nic Wilson, Miguel Delgado, Serafín Moral, Juan Cano, Didier Dubois, Henri Prade, Luis Fariñas del Cerro, Jérôme Lang, Stéphane Amarger, John Fox, Paul J. Krause, Michael Dohnal, Christine Froidevaux, Jérôme Mengin, Ramón López de Mántaras, Lluís Godo, E. H. Mamdani, John Bigham, Simon Parsons, Rudolf Kruse, Olivier Paillet, Pierre Siegel, Philippe Smets, Yen-Teh Hsia, Alessandro Saffiotti, Robert Kennes, Hong Xu, Elizabeth Umkehrer, Kurt Sundermeyer, Chris Whitney
1993	A	`conf`	Partially Specified Belief Functions. UAI Serafín Moral, Luis M. de Campos
1993	C	`ed.`	Symbolic and Quantitative Approaches to Reasoning and Uncertainty, European Conference, ECSQARU'93, Granada, Spain, November 8-10, 1993, Proceedings ECSQARU Michael Clarke, Rudolf Kruse, Serafín Moral
1992	A	`conf`	Calculating Uncertainty Intervals from Conditional Convex Sets of Probabilities. UAI Serafín Moral
1992	J	`jnl`	Propagating uncertain information forward. Int. J. Intell. Syst. Luis M. de Campos, Serafín Moral
1991	A	`conf`	Combination of Upper and Lower Probabilities. UAI José E. Cano, Serafín Moral, Juan F. Verdegay-López
1991	C	`conf`	Propagation of Uncertainty in Dependence Graphs. ECSQARU José E. Cano, Miguel Delgado, Serafín Moral
1990	J	`jnl`	The concept of conditional fuzzy measure. Int. J. Intell. Syst. Luis M. de Campos, María T. Lamata, Serafín Moral
1990	C	`conf`	Updating Uncertain Information. IPMU Serafín Moral, Luis M. de Campos
1988	C	`conf`	Logical Connectives for Combining Fuzzy Measures. ISMIS Luis M. de Campos, María Teresa Lamata, Serafín Moral