Publicaciones (197) Publicaciones de ROBERTO SANTANA HERMIDA

2024

  1. Computational Tools for Neuronal Morphometric Analysis: A Systematic Search and Review

    Neuroinformatics, Vol. 22, Núm. 3, pp. 353-377

  2. ENIA Chair in Artificial Intelligence and Language Technology

    CEUR Workshop Proceedings

  3. Factorized models in neural architecture search: Impact on computational costs and performance

    Proceedings of the International Joint Conference on Neural Networks

  4. Filter method-based feature selection process for unattributed-identity multi-target regression problem

    Expert Systems with Applications, Vol. 246

  5. On bi-objective combinatorial optimization with heterogeneous objectives

    European Journal of Operational Research, Vol. 319, Núm. 1, pp. 89-101

  6. On the generalization of PINNs outside the training domain and the hyperparameters influencing it

    Neural Computing and Applications

  7. Redefining Neural Architecture Search of Heterogeneous Multinetwork Models by Characterizing Variation Operators and Model Components

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 35, Núm. 8, pp. 10561-10575

  8. Unified Framework for the Analysis of the Effect of Control Strategies on On-Load Tap-Changer's Automatic Voltage Controller

    IEEE Transactions on Automation Science and Engineering, Vol. 21, Núm. 2, pp. 1539-1548

2023

  1. Analyzing the interplay between transferable GANs and gradient optimizers

    GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion

  2. Evolved Neural Networks for Building Energy Prediction

    2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023

  3. First step to define a predictive model of the behaviour of a building's thermal system to analyse the climate change influence

    36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023

  4. Introducing multi-dimensional hierarchical classification: Characterization, solving strategies and performance measures

    Neurocomputing, Vol. 533, pp. 141-160

  5. Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification

    GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion

  6. Random vector functional link forests and extreme learning forests applied to UAV automatic target recognition

    Engineering Applications of Artificial Intelligence, Vol. 117

  7. The Impact of Imputation Methods on the Classification of Household Devices from Electricity Usage Time Series

    Proceedings - 2023 10th International Conference on Social Networks Analysis, Management and Security, SNAMS 2023

2022

  1. A grammar-based GP approach applied to the design of deep neural networks

    Genetic Programming and Evolvable Machines, Vol. 23, Núm. 3, pp. 427-452

  2. Adversarial Perturbations for Evolutionary Optimization

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

  3. Analysis of dominant classes in universal adversarial perturbations

    Knowledge-Based Systems, Vol. 236

  4. Author Correction: Informative neural representations of unseen contents during higher-order processing in human brains and deep artificial networks (Nature Human Behaviour, (2022), 6, 5, (720-731), 10.1038/s41562-021-01274-7)

    Nature Human Behaviour

  5. Boomerang-shaped neural embeddings for NK landscapes

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