Publications (20) Publications in which a researcher has participated View referenced research data.

filter_list Statistics and Probability

2023

  1. Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

    eLife, Vol. 12

  2. TINTO: Converting Tidy Data into image for classification with 2-Dimensional Convolutional Neural Networks

    SoftwareX, Vol. 22

2022

  1. Stellar dating using chemical clocks and Bayesian inference

    Astronomy and Astrophysics, Vol. 660

  2. Sum-Product Networks: A Survey

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 44, Núm. 7, pp. 3821-3839

  3. Teaching Probabilistic Graphical Models with OpenMarkov

    Mathematics, Vol. 10, Núm. 19

2021

  1. Comparing quantile regression methods for probabilistic forecasting of NO2 pollution levels

    Scientific Reports, Vol. 11, Núm. 1

2020

  1. A spatio-temporal attention-based spot-forecasting framework for urban traffic prediction

    Applied Soft Computing Journal, Vol. 96

  2. Bayesian hierarchical modelling of stellar clusters

    Proceedings of the 35th International Workshop on Statistical Modelling : July 20-24, 2020 Bilbao, Basque Country, Spain

  3. Deep learning architecture to predict daily hospital admissions

    Neural Computing and Applications, Vol. 32, Núm. 20, pp. 16235-16244

  4. Forecasting Plantago pollen: improving feature selection through random forests, clustering, and Friedman tests

    Theoretical and Applied Climatology, Vol. 139, Núm. 1-2, pp. 163-174

2019

  1. Evaluation of Markov Models with Discontinuities

    Medical Decision Making, Vol. 39, Núm. 4, pp. 414-420

  2. OpenMarkov, an open-source tool for probabilistic graphical models

    IJCAI International Joint Conference on Artificial Intelligence

2017

  1. Dynamic Line Rating Using Numerical Weather Predictions and Machine Learning: A Case Study

    IEEE Transactions on Power Delivery, Vol. 32, Núm. 1, pp. 335-343

  2. Probabilistic forecasting for extreme NO2 pollution episodes

    Environmental Pollution, Vol. 229, pp. 321-328

2012

  1. Interactive learning of Bayesian networks using OpenMarkov

    Proceedings of the 6th European Workshop on Probabilistic Graphical Models, PGM 2012

  2. ProbModelXML. A format for encoding probabilistic graphical models

    Proceedings of the 6th European Workshop on Probabilistic Graphical Models, PGM 2012

2011

  1. Improved methodology for the automated classification of periodic variable stars

    Monthly Notices of the Royal Astronomical Society, Vol. 418, Núm. 1, pp. 96-106

2007

  1. Comparison of two types of event Bayesian networks: A case study

    Applied Artificial Intelligence, Vol. 21, Núm. 3, pp. 185-209

2004

  1. Combining knowledge from different sources in causal probabilistic models

    Journal of Machine Learning Research, Vol. 4, Núm. 3, pp. 295-316

2000

  1. Graphical explanation in bayesian networks

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)