Publicaciones (67) Publicaciones de DAVID GOMEZ-ULLATE OTEIZA

2021

  1. Complete classification of rational solutions of A2n-Painlevé systems

    Advances in Mathematics, Vol. 385

  2. Exceptional legendre polynomials and confluent darboux transformations

    Symmetry, Integrability and Geometry: Methods and Applications (SIGMA), Vol. 17

  3. Fall detection from electrocardiogram (ECG) signals and classification by deep transfer learning

    Information (Switzerland), Vol. 12, Núm. 2, pp. 1-22

  4. Non-Intrusive Load Monitoring using Multi-Output CNNs

    2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings

  5. Spectral Theory of Exceptional Hermite Polynomials

    Operator Theory: Advances and Applications (Springer Science and Business Media Deutschland GmbH), pp. 173-196

  6. Sustainable Fishing: applying Data Science to the Ecological Trap Hypothesis

    Actas de las Jornadas de Investigación Predoctoral en Ingeniería Informática: Proceedings of the Doctoral Consortium in Computer Science (JIPII 2021)

2020

  1. Corrigendum on the proof of completeness for exceptional Hermite polynomials

    Journal of Approximation Theory

  2. Cyclic Maya diagrams and rational solutions of higher order Painlevé systems

    Studies in Applied Mathematics, Vol. 144, Núm. 3, pp. 357-385

  3. Exceptional Orthogonal Polynomials and Rational Solutions to Painlevé Equations

    Tutorials, Schools, and Workshops in the Mathematical Sciences (Birkhauser), pp. 335-386

2019

  1. A Bochner type characterization theorem for exceptional orthogonal polynomials

    Journal of Mathematical Analysis and Applications, Vol. 472, Núm. 1, pp. 584-626

  2. Assessing the effect of advertising expenditures upon sales: A Bayesian structural time series model

    Applied Stochastic Models in Business and Industry

  3. Validating Ocean General Circulation Models via Lagrangian Particle Simulation and Data from Drifting Buoys

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