2025

1. A GRASP-based multi-objective approach for the tuna purse seine fishing fleet routing problem

   Computers and Operations Research, Vol. 174

2. A Review of Federated Learning Applications in Intrusion Detection Systems

   Computer Networks, Vol. 258

3. A hybrid probabilistic battery health management approach for robust inspection drone operations

   Engineering Applications of Artificial Intelligence, Vol. 146

4. A probabilistic risk assessment framework for the impact assessment of extreme events on renewable power plant components

   Renewable Energy, Vol. 240

5. Addressing the multiplicity of optimal solutions to the Clonal Deconvolution and Evolution Problem

   European Journal of Operational Research, Vol. 320, Núm. 3, pp. 777-788

6. Adversarial Attacks in Explainable Machine Learning: A Survey of Threats Against Models and Humans

   Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 15, Núm. 1

7. An interpretable operational state classification framework for elevators through convolutional neural networks

   Computer-Aided Civil and Infrastructure Engineering

8. Aprendizaje continuado para predicciones probabilísticas del consumo de energía

   BEIO, Boletín de Estadística e Investigación Operativa, Vol. 41, Núm. 1, pp. 20-31

9. Assessing heavy maintenance alternatives for floating offshore wind farms: Towing vs. onsite replacement strategies

   Applied Energy, Vol. 377

10. Comparative analysis and evaluation of ageing forecasting methods for semiconductor devices in online health monitoring

    Engineering Applications of Artificial Intelligence, Vol. 150

11. Continuous estimation of distribution algorithms for the parametric optimization of geothermal power plants

    CIIS 2024 - 2024 the 7th International Conference on Computational Intelligence and Intelligent Systems

12. DNkS: A distance-based neighborhood k-search algorithm for determining meter–transformer connectivity in low-voltage grids

    Sustainable Energy, Grids and Networks, Vol. 42

13. Detecting Scam Tokens and Backdoor Functions in EVM Based Networks

    Lecture Notes in Networks and Systems

14. Diverse policy generation for the flexible job-shop scheduling problem via deep reinforcement learning with a novel graph representation

    Engineering Applications of Artificial Intelligence, Vol. 139

15. Extending the learning using privileged information paradigm to logistic regression

    Neurocomputing, Vol. 615

16. Leveraging constraint programming in a deep learning approach for dynamically solving the flexible job-shop scheduling problem

    Expert Systems with Applications, Vol. 265

17. Light up that Droid! On the effectiveness of static analysis features against app obfuscation for Android malware detection

    Journal of Network and Computer Applications, Vol. 235

18. Multi-Assignment Scheduler: A New Behavioral Cloning Method for the Job-Shop Scheduling Problem

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

19. Preserving the Fairness Guarantees of Classifiers in Changing Environments: A Survey

    ACM Computing Surveys, Vol. 57, Núm. 6

20. Residual-based attention Physics-informed Neural Networks for spatio-temporal ageing assessment of transformers operated in renewable power plants

    Engineering Applications of Artificial Intelligence, Vol. 139