Publicaciones (99) Publicaciones de ISAAC TRIGUERO VELÁZQUEZ

2024

  1. General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance

    Information Fusion, Vol. 103

  2. Local-global methods for generalised solar irradiance forecasting

    Applied Intelligence, Vol. 54, Núm. 2, pp. 2225-2247

2023

  1. An Initial Step Towards Stable Explanations for Multivariate Time Series Classifiers with LIME

    IEEE International Conference on Fuzzy Systems

  2. Citizen Science and Machine Learning: Towards a Robust Large-Scale Automatic Classification in Astronomy

    Astrophysics and Space Science Proceedings

  3. CzSL: Learning from citizen science, experts, and unlabelled data in astronomical image classification

    Monthly Notices of the Royal Astronomical Society, Vol. 526, Núm. 2, pp. 1742-1756

  4. Explaining time series classifiers through meaningful perturbation and optimisation

    Information Sciences, Vol. 645

  5. Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data

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

  6. Identifying bird species by their calls in Soundscapes

    Applied Intelligence, Vol. 53, Núm. 19, pp. 21485-21499

2022

  1. A fusion spatial attention approach for few-shot learning

    Information Fusion, Vol. 81, pp. 187-202

  2. Accelerated pattern search with variable solution size for simultaneous instance selection and generation

    GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference

  3. Feature Importance Identification for Time Series Classifiers

    Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

  4. Forced vital capacity trajectories in patients with idiopathic pulmonary fibrosis: a secondary analysis of a multicentre, prospective, observational cohort

    The Lancet. Digital health, Vol. 4, Núm. 12, pp. e862-e872

  5. SPMS-ALS: A Single-Point Memetic structure with accelerated local search for instance reduction

    Swarm and Evolutionary Computation, Vol. 69

2021

  1. Beyond global and local multi-target learning

    Information Sciences, Vol. 579, pp. 508-524

  2. Decomposition-Fusion for Label Distribution Learning

    Information Fusion, Vol. 66, pp. 64-75

  3. EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification

    Applied Soft Computing, Vol. 101

  4. Few-Shot Learning for Postnatal Gestational Age Estimation

    Proceedings of the International Joint Conference on Neural Networks

  5. L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout

    Neurocomputing, Vol. 442, pp. 200-208

  6. Multigranulation Supertrust Model for Attribute Reduction

    IEEE Transactions on Fuzzy Systems, Vol. 29, Núm. 6, pp. 1395-1408

  7. Neurocomputing guest editorial for the special issue: Advances in deep and shallow machine learning approaches for handling data irregularities

    Neurocomputing