Publikationen, an denen er mitarbeitet Javier del Ser Lorente (29)

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

  4. Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning

    Cognitive Computation, Vol. 16, Núm. 1, pp. 425-453

2023

  1. A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges

    Journal of Ambient Intelligence and Humanized Computing, Vol. 14, Núm. 8, pp. 9869-9905

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

    Information Fusion, Vol. 99

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

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

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

    Information Fusion, Vol. 99

  5. 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. Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation

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

  4. 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

  5. Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification

    Knowledge-Based Systems, Vol. 258

  6. Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

    Information Fusion, Vol. 79, pp. 263-278

  7. 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