Publicacións nas que colabora con Javier del Ser Lorente (24)

2024

  1. A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends

    IEEE/CAA Journal of Automatica Sinica, Vol. 11, Núm. 4, pp. 824-850

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

    Information Fusion, Vol. 103

  3. On generating trustworthy counterfactual explanations

    Information Sciences, Vol. 655

2023

  1. Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation

    Information Fusion, Vol. 99

  2. EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks

    Neural Networks, Vol. 158, pp. 59-82

  3. Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

    Information Fusion, Vol. 99

  4. Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness

    Applied Soft Computing, Vol. 147

2022

  1. A framework for adapting online prediction algorithms to outlier detection over time series

    Knowledge-Based Systems, Vol. 256

  2. Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning

    IEEE Transactions on Evolutionary Computation, Vol. 26, Núm. 2, pp. 233-247

  3. Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions

    Information Fusion, Vol. 82, pp. 99-122

  4. Optimización inspirada en la naturaleza y en la biología: lo bueno, lo malo, lo feo y lo esperanzador

    Revista DYNA, Vol. 97, Núm. 2, pp. 114-117

2021

  1. A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems

    Swarm and Evolutionary Computation, Vol. 64

  2. A prescription of methodological guidelines for comparing bio-inspired optimization algorithms

    Swarm and Evolutionary Computation, Vol. 67

  3. AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking

    Information Sciences, Vol. 570, pp. 577-598

  4. CURIE: a cellular automaton for concept drift detection

    Data Mining and Knowledge Discovery, Vol. 35, Núm. 6, pp. 2655-2678

  5. LUNAR: Cellular automata for drifting data streams

    Information Sciences, Vol. 543, pp. 467-487

  6. Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges

    Information Fusion, Vol. 67, pp. 161-194

  7. More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems

    2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings

2020

  1. A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities

    Information Fusion, Vol. 64, pp. 205-237

  2. Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations

    Cognitive Computation, Vol. 12, Núm. 5, pp. 897-939