Publicaciones en colaboración con investigadores/as de Universidad del País Vasco/Euskal Herriko Unibertsitatea (43)

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. Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression

    Proceedings of the International Joint Conference on Neural Networks

  3. Defense Strategy against Byzantine Attacks in Federated Machine Learning: Developments towards Explainability

    IEEE International Conference on Fuzzy Systems

  4. Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

    Information Fusion

  5. Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 35, Núm. 6, pp. 7391-7404

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

    Information Fusion, Vol. 103

  7. On generating trustworthy counterfactual explanations

    Information Sciences, Vol. 655

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

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

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. 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. Multi-omic alterations of the SWI/SNF complex define a clinical subgroup in lung adenocarcinoma

    Clinical Epigenetics, Vol. 14, Núm. 1

2021

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

    Swarm and Evolutionary Computation, Vol. 64