Publikationen in Zusammenarbeit mit Forschern von 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