Ciencia de la Computación e Inteligencia Artificial

2025

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

   Engineering Applications of Artificial Intelligence, Vol. 146

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

   Renewable Energy, Vol. 240

3. 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

4. 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

5. An analysis of the role of different levels of exchange of explicit information in human–robot cooperation

   Frontiers in Robotics and AI, Vol. 12

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

   Computer-Aided Civil and Infrastructure Engineering

7. Aprendizaje continuado para predicciones probabilísticas del consumo de energía

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

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

   Applied Energy, Vol. 377

9. Collaborative Robot Teleoperation in Mixed Reality Environment for Inspection Tasks

   Presence: Teleoperators and Virtual Environments, Vol. 34, pp. 1-17

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

    Engineering Applications of Artificial Intelligence, Vol. 150

11. Corporate relation extraction for the construction of knowledge-bases against tax fraud

    Knowledge-Based Systems, Vol. 311

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. 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

14. Enhancing Generalization and Mitigating Overfitting in Deep Learning for Brain Cancer Diagnosis from MRI

    Applied Magnetic Resonance, Vol. 56, Núm. 3, pp. 359-394

15. Evaluating and challenging the reasoning capabilities of generative artificial intelligence for technology-assisted chemistry education

    Education and Information Technologies

16. Exploring multi-agent reinforcement learning for unrelated parallel machine scheduling

    Journal of Supercomputing, Vol. 81, Núm. 4

17. Exploring the Dilemma of Causal Incoherence: A Study on the Approaches and Limitations of Large Language Models in Natural Language Inference

    Procesamiento del lenguaje natural, Núm. 74, pp. 207-219

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

    Neurocomputing, Vol. 615

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

    Expert Systems with Applications, Vol. 265

20. 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