Publicaciones (25) Publicaciones de Luis Miralles Pechuan

2024

  1. Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges

    IEEE Open Journal of the Communications Society, Vol. 5, pp. 2490-2540

  2. Generalized Zero-Shot Learning for Action Recognition Fusing Text and Image GANs

    IEEE Access, Vol. 12, pp. 5188-5202

2022

  1. An Alternative Auction System to Generalized Second-Price for Real-Time Bidding Optimized Using Genetic Algorithms

    Lecture Notes in Networks and Systems

  2. An Explainable Tool to Support Age-related Macular Degeneration Diagnosis

    Proceedings of the International Joint Conference on Neural Networks

  3. Combining Text and Image Knowledge with GANs for Zero-Shot Action Recognition in Videos

    Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

  4. Multivariate Feature Ranking With High-Dimensional Data for Classification Tasks

    IEEE Access, Vol. 10, pp. 60421-60437

2021

  1. Identifying Internet of Things software activities using deep learning-based electromagnetic side-channel analysis

    Forensic Science International: Digital Investigation, Vol. 39

  2. Modelling the COVID-19 Virus Evolution With Incremental Machine Learning

    CEUR Workshop Proceedings

  3. Optimization of the Containment Levels for the Reopening of Mexico City due to COVID-19

    IEEE Latin America Transactions, Vol. 19, Núm. 6, pp. 1065-1073

  4. Zero-Shot Action Recognition with Knowledge Enhanced Generative Adversarial Networks

    ICETE International Conference on E-Business and Telecommunication Networks (International Joint Conference on Computational Intelligence)

  5. Zero-Shot Action Recognition with Knowledge Enhanced Generative Adversarial Networks

    International Joint Conference on Computational Intelligence

2020

  1. A 2020 perspective on “A novel methodology for optimizing display advertising campaigns using genetic algorithms”

    Electronic Commerce Research and Applications, Vol. 40

  2. A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions

    International Conference on Information and Knowledge Management, Proceedings

  3. A Survey on Freezing of Gait Detection and Prediction in Parkinson’s Disease

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

  4. Cutting Through the Emissions: Feature Selection from Electromagnetic Side-Channel Data for Activity Detection

    Forensic Science International: Digital Investigation, Vol. 32