Publicaciones en colaboración con investigadores/as de Universidad de Granada (17)

2024

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

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

2022

  1. Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning

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

  2. 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)

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

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

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

  3. Explainable Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

    Information Fusion, Vol. 58, pp. 82-115

  4. Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis

    2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings

2019

  1. Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0

    Engineering Applications of Artificial Intelligence, Vol. 82, pp. 30-43

  2. Bio-inspired computation: Where we stand and what's next

    Swarm and Evolutionary Computation, Vol. 48, pp. 220-250