Andrés R. Masegosa
Orcid: 0000-0001-7719-7890
According to our database1,
Andrés R. Masegosa
authored at least 65 papers
between 2005 and 2024.
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Bibliography
2024
2023
CoRR, 2023
2022
From anecdote to evidence: the relationship between personality and need for cognition of developers.
Empir. Softw. Eng., 2022
Proceedings of the International Conference on Probabilistic Graphical Models, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Prog. Artif. Intell., 2020
Neurocomputing, 2020
Intell. Data Anal., 2020
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Learning under Model Misspecification: Applications to Variational and Ensemble methods.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Knowl. Based Syst., 2019
2018
Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks.
Int. J. Approx. Reason., 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
Int. J. Approx. Reason., 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
2016
Int. J. Approx. Reason., 2016
IEEE Comput. Intell. Mag., 2016
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016
2015
Proceedings of the Thirteenth Scandinavian Conference on Artificial Intelligence, 2015
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015
Proceedings of the Advances in Artificial Intelligence, 2015
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
Classification with decision trees from a nonparametric predictive inference perspective.
Comput. Stat. Data Anal., 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the 27th Norsk Informatikkonferanse, 2014
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
Appl. Soft Comput., 2013
2012
Knowl. Based Syst., 2012
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012
Expert Syst. Appl., 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
Intell. Data Anal., 2011
Riskoweb: Web-Based Genetic Profiling to Complex Disease Using Genome-Wide SNP Markers.
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 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 Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011
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
Proceedings of the Foundations of Information and Knowledge Systems, 2010
2009
A Filter-Wrapper Method to Select Variables for the Naive Bayes Classifier Based on Credal Decision Trees.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2009
Proceedings of the Focused Retrieval and Evaluation, 2009
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009
An Experimental Study about Simple Decision Trees for Bagging Ensemble on Datasets with Classification Noise.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009
2008
Int. J. Gen. Syst., 2008
2007
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007
Proceedings of the Advances in Information Retrieval, 2007
2006
Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006
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