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Serafín Moral-García
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2020 – today
- 2024
[j97]Serafín Moral-García, Tahani Coolen-Maturi
, Frank P. A. Coolen, Joaquín Abellán:
A Bayesian Imprecise Classification method that weights instances using the error costs. Appl. Soft Comput. 165: 112080 (2024)- [j96]Serafín Moral-García, Joaquín Abellán:
Lazy Multi-Label Classification algorithms based on Non-Parametric Predictive Inference. Expert Syst. Appl. 256: 124921 (2024) - [j95]Serafín Moral:
Desirable gambles based on pairwise comparisons. Int. J. Approx. Reason. 169: 109180 (2024) - 2023
- [j94]Serafín Moral-García, Joaquín Abellán:
Improving the Results in Credit Scoring by Increasing Diversity in Ensembles of Classifiers. IEEE Access 11: 58451-58461 (2023) - [j93]Joaquín Abellán, Alejandro Pérez-Lara, Serafín Moral-García:
A Variation of the Algorithm to Achieve the Maximum Entropy for Belief Functions. Entropy 25(6): 867 (2023) - [j92]Serafín Moral-García, María D. Benítez, Joaquín Abellán:
Upgrading the Fusion of Imprecise Classifiers. Entropy 25(7): 1088 (2023) - [j91]Serafín Moral, Andrés Cano, Manuel Gómez-Olmedo:
Imprecise probabilistic models based on hierarchical intervals. Inf. Sci. 638: 118995 (2023) - [c65]Carlos Morales, Serafín Moral:
Assessment of Situation Awareness and Automation in Performance-Based Navigation Procedures. ISADS 2023: 1-6 - 2022
- [j90]Serafín Moral-García, Joaquín Abellán, Tahani Coolen-Maturi, Frank P. A. Coolen:
A cost-sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference. Appl. Soft Comput. 123: 108916 (2022) - [j89]Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán:
Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification. Int. J. Approx. Reason. 147: 60-77 (2022) - [j88]Serafín Moral-García, Javier G. Castellano, Carlos Javier Mantas, Joaquín Abellán:
A new label ordering method in Classifier Chains based on imprecise probabilities. Neurocomputing 487: 34-45 (2022) - [j87]Serafín Moral-García, Javier G. Castellano, Carlos Javier Mantas, Joaquín Abellán:
Using extreme prior probabilities on the Naive Credal Classifier. Knowl. Based Syst. 237: 107707 (2022) - 2021
- [j86]Serafín Moral, Andrés Cano, Manuel Gómez-Olmedo:
Computation of Kullback-Leibler Divergence in Bayesian Networks. Entropy 23(9): 1122 (2021) - [j85]Joaquín Abellán, Serafín Moral-García, María D. Benítez:
Combination in the theory of evidence via a new measurement of the conflict between evidences. Expert Syst. Appl. 178: 114987 (2021) - [j84]Serafín Moral-García, Joaquín Abellán:
Credal sets representable by reachable probability intervals and belief functions. Int. J. Approx. Reason. 129: 84-102 (2021) - [j83]Javier G. Castellano, Serafín Moral-García, Carlos Javier Mantas, María D. Benítez, Joaquín Abellán:
A Decision Support Tool for Credit Domains: Bayesian Network with a Variable Selector Based on Imprecise Probabilities. Int. J. Fuzzy Syst. 23(7): 2004-2020 (2021) - [j82]Serafín Moral-García, Joaquín Abellán:
Uncertainty-based information measures on the approximate non-parametric predictive inference model. Int. J. Gen. Syst. 50(2): 159-181 (2021) - [j81]Serafín Moral-García, Joaquín Abellán:
Required mathematical properties and behaviors of uncertainty measures on belief intervals. Int. J. Intell. Syst. 36(8) (2021) - [j80]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): 6913-6943 (2021) - [c64]Serafín Moral-García, Francisco Javier García Castellano, Carlos Javier Mantas, Joaquín Abellán:
Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification. ISIPTA 2021: 220-228 - [c63]Serafín Moral-García, Joaquín Abellán:
Basic Probability Assignments Representable via Belief Intervals for Singletons in Dempster-Shafer Theory. ISIPTA 2021: 229-234 - [e5]Andrés Cano, Jasper De Bock, Enrique Miranda, Serafín Moral:
International Symposium on Imprecise Probability: Theories and Applications, ISIPTA 2021, 6-9 July 2021, University of Granada, Granada, Spain. Proceedings of Machine Learning Research 147, PMLR 2021 [contents] - 2020
- [j79]Serafín Moral-García, Joaquín Abellán:
Maximum of Entropy for Belief Intervals Under Evidence Theory. IEEE Access 8: 118017-118029 (2020) - [j78]Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán:
Non-parametric predictive inference for solving multi-label classification. Appl. Soft Comput. 88: 106011 (2020) - [j77]Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, María D. Benítez, Joaquín Abellán:
Bagging of credal decision trees for imprecise classification. Expert Syst. Appl. 141 (2020) - [j76]Javier G. Castellano, Serafín Moral-García, Carlos Javier Mantas, Joaquín Abellán:
On the Use of m-Probability-Estimation and Imprecise Probabilities in the Naïve Bayes Classifier. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 28(4): 661-682 (2020) - [j75]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Serafín Moral-García:
MPE Computation in Bayesian Networks Using Mini-Bucket and Probability Trees Approximation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 28(5): 785-805 (2020) - [j74]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Serafín Moral-García:
MPE Computation in Bayesian Networks Using Mini-Bucket and Probability Trees Approximation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 28(5): 785-805 (2020) - [c62]Serafín Moral, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán:
Imprecise Classification with Non-parametric Predictive Inference. IPMU (2) 2020: 53-66 - [c61]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral:
Learning Sets of Bayesian Networks. IPMU (2) 2020: 151-164
2010 – 2019
- 2019
- [j73]Serafín Moral-García, Javier G. Castellano, Carlos Javier Mantas, Alfonso Montella, Joaquín Abellán:
Decision Tree Ensemble Method for Analyzing Traffic Accidents of Novice Drivers in Urban Areas. Entropy 21(4): 360 (2019) - [j72]Serafín Moral:
Learning with imprecise probabilities as model selection and averaging. Int. J. Approx. Reason. 109: 111-124 (2019) - [j71]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral:
A Bayesian approach to abrupt concept drift. Knowl. Based Syst. 185 (2019) - [j70]Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán:
Ensemble of classifier chains and Credal C4.5 for solving multi-label classification. Prog. Artif. Intell. 8(2): 195-213 (2019) - [j69]Carlos Javier Mantas, Javier G. Castellano, Serafín Moral-García, Joaquín Abellán:
A comparison of random forest based algorithms: random credal random forest versus oblique random forest. Soft Comput. 23(21): 10739-10754 (2019) - [c60]Joaquín Abellán, Serafín Moral-García, María D. Benítez:
Combination in Dempster-Shafer Theory Based on a Disagreement Factor Between Evidences. ECSQARU 2019: 148-159 - [c59]Carlos Morales, Serafín Moral:
Flight Trajectory Clustering: a framework that uses Planned Route data. ISADS 2019: 1-6 - 2018
- [j68]Joaquín Abellán, Carlos Javier Mantas, Javier G. Castellano, Serafín Moral:
Increasing diversity in random forest learning algorithm via imprecise probabilities. Expert Syst. Appl. 97: 228-243 (2018) - [j67]Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán:
Using Credal-C4.5 with Binary Relevance for Multi-Label Classification. J. Intell. Fuzzy Syst. 35(6): 6501-6512 (2018) - [c58]Serafín Moral:
Divergence Measures and Approximate Algorithms for Valuation Based Systems. IPMU (3) 2018: 591-602 - [c57]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: 616-628 - [c56]Carlos Javier Mantas, Joaquín Abellán, Javier G. Castellano, José Ramón Cano, Serafín Moral:
Credal C4.5 with Refinement of Parameters. IPMU (3) 2018: 739-747 - 2017
- [c55]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral:
Estimating Conditional Probabilities by Mixtures of Low Order Conditional Distributions. SUM 2017: 107-118 - [e4]Serafín Moral, Olivier Pivert, Daniel Sánchez, Nicolás Marín:
Scalable Uncertainty Management - 11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017, Proceedings. Lecture Notes in Computer Science 10564, Springer 2017, ISBN 978-3-319-67581-7 [contents] - 2016
- [j66]Byron Oviedo, Serafín Moral, Amilkar Puris:
A hierarchical clustering method: Applications to educational data. Intell. Data Anal. 20(4): 933-951 (2016) - [j65]Carlos Morales, Serafín Moral:
Modeling aircrew information management for estimation of situational awareness using dynamic Bayesian networks. Simul. Model. Pract. Theory 65: 93-103 (2016) - [c54]Byron Oviedo, Luís Moreira, Amilkar Puris, Pavel Novoa-Hernández, Serafín Moral:
Learning Bayesian network by a mesh of points. CEC 2016: 3983-3989 - [c53]Carlos Morales, Serafín Moral:
Regression Methods Applied to Flight Variables for Situational Awareness Estimation Using Dynamic Bayesian Networks. Probabilistic Graphical Models 2016: 356-367 - 2015
- [j64]Concha Bielza, Serafín Moral, Antonio Salmerón:
Recent Advances in Probabilistic Graphical Models. Int. J. Intell. Syst. 30(3): 207-208 (2015) - [j63]Inés Couso, Serafín Moral, Luciano Sánchez:
The behavioral meaning of the median. Inf. Sci. 294: 127-138 (2015) - [c52]Carlos Morales, Serafín Moral:
Discretization of Simulated Flight Parameters for Estimation of Situational Awareness Using Dynamic Bayesian Networks. ISADS 2015: 196-201 - 2014
- [j62]Andrés R. Masegosa, Serafín Moral:
Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks. Int. J. Approx. Reason. 55(7): 1548-1569 (2014) - [j61]Serafín Moral:
Comments on "Statistical reasoning with set-valued information: Ontic vs. epistemic view" by Inés Couso and Didier Dubois. Int. J. Approx. Reason. 55(7): 1578-1579 (2014) - [j60]Serafín Moral:
Comments on "Likelihood-based belief function: Justification and some extensions to low-quality data" by Thierry Denœux. Int. J. Approx. Reason. 55(7): 1591-1593 (2014) - [j59]Andrés R. Masegosa, Serafín Moral:
Rejoinder on "Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks". Int. J. Approx. Reason. 55(7): 1618-1622 (2014) - [c51]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza:
Extended Probability Trees for Probabilistic Graphical Models. Probabilistic Graphical Models 2014: 113-128 - 2013
- [j58]Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón:
New strategies for finding multiplicative decompositions of probability trees. Appl. Math. Comput. 225: 573-589 (2013) - [j57]Andrés R. Masegosa, Serafín Moral:
New skeleton-based approaches for Bayesian structure learning of Bayesian networks. Appl. Soft Comput. 13(2): 1110-1120 (2013) - [j56]Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral:
Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks. Int. J. Approx. Reason. 54(4): 526-540 (2013) - [j55]Andrés R. Masegosa, Serafín Moral:
An interactive approach for Bayesian network learning using domain/expert knowledge. Int. J. Approx. Reason. 54(8): 1168-1181 (2013) - [j54]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza, Antonio Salmerón:
Inference in Bayesian Networks with Recursive Probability Trees: Data Structure Definition and Operations. Int. J. Intell. Syst. 28(7): 623-647 (2013) - [j53]María M. Abad-Grau, Nuria Medina-Medina, Serafín Moral, Rosana Montes-Soldado, Sergio Torres-Sánchez, Fuencisla Matesanz:
Increasing Power by using Haplotype Similarity in a Multimarker Transmission/disequilibrium Test. J. Bioinform. Comput. Biol. 11(2) (2013) - [c50]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora Beatriz Pérez-Ariza, Antonio Salmerón:
Learning Recursive Probability Trees from Data. CAEPIA 2013: 332-341 - [c49]Andres Masegosa Arredondo, María del Mar Abad-Grau, Serafín Moral, Fuencisla Matesanz:
Learning classifiers from discretized expression quantitative trait loci. IWBBIO 2013: 427-436 - [i6]Luis D. Hernández, Serafín Moral:
Inference with Idempotent Valuations. CoRR abs/1302.1546 (2013) - [i5]Luis M. de Campos, Serafín Moral:
Independence Concepts for Convex Sets of Probabilities. CoRR abs/1302.4940 (2013) - [i4]Serafín Moral, Luis M. de Campos:
Partially Specified Belief Functions. CoRR abs/1303.1513 (2013) - [i3]Serafín Moral:
Calculating Uncertainty Intervals From Conditional Convex Sets of Probabilities. CoRR abs/1303.5418 (2013) - [i2]José E. Cano, Serafín Moral, Juan F. Verdegay-López:
Combination of Upper and Lower Probabilities. CoRR abs/1303.5710 (2013) - [i1]Gregory F. Cooper, Serafín Moral:
Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (1998). CoRR abs/1304.3844 (2013) - 2012
- [j52]Joaquín Abellán, Serafín Moral:
Determining dependence relations using a new score based on imprecise probabilities. Intell. Data Anal. 16(6): 847-863 (2012) - [j51]Serafín Moral:
Imprecise probabilities for representing ignorance about a parameter. Int. J. Approx. Reason. 53(3): 347-362 (2012) - [j50]Frank P. A. Coolen, Thomas Fetz, Serafín Moral, Michael Oberguggenberger:
Editorial - Imprecise probability. Int. J. Approx. Reason. 53(8): 1107-1109 (2012) - [j49]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza, Antonio Salmerón:
Learning recursive probability trees from probabilistic potentials. Int. J. Approx. Reason. 53(9): 1367-1387 (2012) - [j48]Andrés R. Masegosa, Serafín Moral:
A Bayesian stochastic search method for discovering Markov boundaries. Knowl. Based Syst. 35: 211-223 (2012) - [c48]María M. Abad-Grau, Nuria Medina-Medina, Andrés R. Masegosa, Serafín Moral:
Haplotype-based Classifiers to Predict Individual Susceptibility to Complex Diseases - An Example for Multiple Sclerosis. BIOINFORMATICS 2012: 360-366 - 2011
- [j47]Pedro Larrañaga, Serafín Moral:
Probabilistic graphical models in artificial intelligence. Appl. Soft Comput. 11(2): 1511-1528 (2011) - [j46]Joaquín Abellán, Andrés Cano, Andrés R. Masegosa, Serafín Moral:
A memory efficient semi-Naive Bayes classifier with grouping of cases. Intell. Data Anal. 15(3): 299-318 (2011) - [j45]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral:
Approximate inference in Bayesian networks using binary probability trees. Int. J. Approx. Reason. 52(1): 49-62 (2011) - [j44]Inés Couso, Serafín Moral:
Sets of desirable gambles: Conditioning, representation, and precise probabilities. Int. J. Approx. Reason. 52(7): 1034-1055 (2011) - [j43]Andrés Cano, Andrés R. Masegosa, Serafín Moral:
A Method for Integrating Expert Knowledge When Learning Bayesian Networks From Data. IEEE Trans. Syst. Man Cybern. Part B 41(5): 1382-1394 (2011) - [c47]Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral:
Locally Averaged Bayesian Dirichlet Metrics. ECSQARU 2011: 217-228 - [c46]Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral:
Learning with Bayesian networks and probability trees to approximate a joint distribution. ISDA 2011: 624-629 - [c45]Luis M. de Campos, Andrés Cano, Javier G. Castellano, Serafín Moral:
Bayesian networks classifiers for gene-expression data. ISDA 2011: 1200-1206 - 2010
- [j42]Inés Couso, Serafín Moral:
Independence concepts in evidence theory. Int. J. Approx. Reason. 51(7): 748-758 (2010) - [j41]Thomas Augustin, Frank P. A. Coolen, Serafín Moral, Matthias C. M. Troffaes:
Imprecise probability in statistical inference and decision making. Int. J. Approx. Reason. 51(9): 1011-1013 (2010) - [c44]Andrés Cano, Andrés R. Masegosa, Serafín Moral:
An Importance Sampling Approach to Integrate Expert Knowledge When Learning Bayesian Networks From Data. IPMU 2010: 685-695
2000 – 2009
- 2009
- [c43]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza:
Recursive Probability Trees for Bayesian Networks. CAEPIA 2009: 242-251 - [c42]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral:
Binary Probability Trees for Bayesian Networks Inference. ECSQARU 2009: 180-191 - [c41]Andrés Cano, Andrés R. Masegosa, Serafín Moral:
A Bayesian Random Split to Build Ensembles of Classification Trees. ECSQARU 2009: 469-480 - 2008
- [p3]M. Julia Flores, José A. Gámez, Serafín Moral:
Use of Explanation Treesto Describe the State Space of a Probabilistic-Based Abduction Problem. Innovations in Bayesian Networks 2008: 251-280 - 2007
- [j40]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Joaquín Abellán:
Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks. Int. J. Approx. Reason. 44(3): 261-280 (2007) - [c40]Joaquín Abellán, Andrés Cano, Andrés R. Masegosa, Serafín Moral:
A Semi-naive Bayes Classifier with Grouping of Cases. ECSQARU 2007: 477-488 - 2006
- [j39]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral:
A forward-backward Monte Carlo method for solving influence diagrams. Int. J. Approx. Reason. 42(1-2): 119-135 (2006) - [j38]Joaquín Abellán, George J. Klir, Serafín Moral:
Disaggregated total uncertainty measure for credal sets. Int. J. Gen. Syst. 35(1): 29-44 (2006) - [j37]Joaquín Abellán, Serafín Moral:
An Algorithm to Compute the Upper Entropy for Order-2 Capacities. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 14(2): 141-154 (2006) - [c39]Joaquín Abellán, Manuel Gómez-Olmedo, Serafín Moral:
Some Variations on the PC Algorithm. Probabilistic Graphical Models 2006: 1-8 - [c38]M. Julia Flores, José A. Gámez, Serafín Moral:
The Independency tree model: a new approach for clustering and factorisation. Probabilistic Graphical Models 2006: 83-90 - [c37]Joaquín Abellán, Serafín Moral, Manuel Gómez-Olmedo, Andrés R. Masegosa:
Varying Parameter in Classification Based on Imprecise Probabilities. SMPS 2006: 231-239 - 2005
- [j36]Serafín Moral:
Epistemic irrelevance on sets of desirable gambles. Ann. Math. Artif. Intell. 45(1-2): 197-214 (2005) - [j35]Serafín Moral:
Comments on 'a behavioural model for vague probability assessments' (G. de Cooman). Fuzzy Sets Syst. 154(3): 359-363 (2005) - [j34]Serafín Moral, Antonio Salmerón:
Dynamic importance sampling in Bayesian networks based on probability trees. Int. J. Approx. Reason. 38(3): 245-261 (2005) - [j33]Joaquín Abellán, Serafín Moral:
Upper entropy of credal sets. Applications to credal classification. Int. J. Approx. Reason. 39(2-3): 235-255 (2005) - [j32]Joaquín Abellán, Serafín Moral:
Difference of entropies as a non-specificity function on credal sets†. Int. J. Gen. Syst. 34(3): 201-214 (2005) - [j31]Joaquín Abellán, Serafín Moral:
Corrigendum: "a Non-specificity Measure for Convex Sets of Probability Distributions". Int. J. Uncertain. Fuzziness Knowl. Based Syst. 13(4): 467 (2005) - [c36]Serafín Moral:
Imprecise Probability in Graphical Models: Achievements and Challenges. ECSQARU 2005: 1-2 - [c35]Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón:
Approximate Factorisation of Probability Trees. ECSQARU 2005: 51-62 - [c34]M. Julia Flores, José A. Gámez, Serafín Moral:
Abductive Inference in Bayesian Networks: Finding a Partition of the Explanation Space. ECSQARU 2005: 63-75 - [c33]Andrés Cano, Francisco Javier García Castellano, Andrés R. Masegosa, Serafín Moral:
Selective Gaussian Naïve Bayes Model for Diffuse Large-B-Cell Lymphoma Classification: Some Improvements in Preprocessing and Variable Elimination. ECSQARU 2005: 908-920 - [c32]Andrés Cano, Francisco Javier García Castellano, Andrés R. Masegosa, Serafín Moral:
Methods to Determine the Branching Attribute in Bayesian Multinets Classifiers. ECSQARU 2005: 932-943 - [c31]Joaquín Abellán, Serafín Moral:
New Score for Independence Based on the Imprecise Dirichlet Model. ISIPTA 2005: 1-10 - [c30]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral:
Application of a hill-climbing algorithm to exact and approximate inference in credal networks. ISIPTA 2005: 88-97 - 2003
- [j30]Andrés Cano, Serafín Moral, Antonio Salmerón:
Novel strategies to approximate probability trees in penniless propagation. Int. J. Intell. Syst. 18(2): 193-203 (2003) - [j29]José del Sagrado, Serafín Moral:
Qualitative combination of Bayesian networks. Int. J. Intell. Syst. 18(2): 237-249 (2003) - [j28]Joaquín Abellán, Serafín Moral:
Building classification trees using the total uncertainty criterion. Int. J. Intell. Syst. 18(12): 1215-1225 (2003) - [j27]