Víctor Rodríguez-Fernández
Orcid: 0000-0002-8589-6621
According to our database1,
Víctor Rodríguez-Fernández
authored at least 42 papers
between 2015 and 2025.
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Bibliography
2025
On the Integration of Large-Scale Time Series Distance Matrices Into Deep Visual Analytic Tools.
Cogn. Comput., February, 2025
2024
Recent trends and advances in machine learning challenges and applications for industry 4.0.
Expert Syst. J. Knowl. Eng., February, 2024
CoRR, 2024
Fine-tuning LLMs for Autonomous Spacecraft Control: A Case Study Using Kerbal Space Program.
CoRR, 2024
CoRR, 2024
Towards a Machine Learning-Based Approach to Predict Space Object Density Distributions.
CoRR, 2024
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
Self-supervised Machine Learning Based Approach to Orbit Modelling Applied to Space Traffic Management.
CoRR, 2023
2022
Predicting the effects of kinetic impactors on asteroid deflection using end-to-end deep learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
IEEE Trans. Ind. Informatics, 2021
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021
2020
Marketing analysis of wineries using social collective behavior from users' temporal activity on Twitter.
Inf. Process. Manag., 2020
A revision on multi-criteria decision making methods for multi-UAV mission planning support.
Expert Syst. Appl., 2020
Expert Syst. J. Knowl. Eng., 2020
Finding Behavioural Patterns Among League of Legends Players Through Hidden Markov Models.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020
2019
Extensions of Hidden Markov Models for supporting instructors in the analysis of training operations in an Unmanned Aircraft System.
Proceedings of the First International Conference on Societal Automation, 2019
Proceedings of the 3rd Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2019), 2019
2018
IEEE Trans. Ind. Informatics, 2018
CANDYMAN: Classifying Android malware families by modelling dynamic traces with Markov chains.
Eng. Appl. Artif. Intell., 2018
2017
A study on performance metrics and clustering methods for analyzing behavior in UAV operations.
J. Intell. Fuzzy Syst., 2017
Analysing temporal performance profiles of UAV operators using time series clustering.
Expert Syst. Appl., 2017
IEEE Comput. Intell. Mag., 2017
Proceedings of the 4th Congreso de la Sociedad Española para las Ciencias del Videojuego, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Automatic profile generation for UAV operators using a simulation-based training environment.
Prog. Artif. Intell., 2016
Finding behavioral patterns of UAV operators using Multichannel Hidden Markov Models.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Desarrollo de una Plataforma Basada en Unity3D para la Aplicación de IA en Videojuegos.
Proceedings of the 3rd Congreso de la Sociedad Española para las Ciencias del Videojuego, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015
Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015
Proceedings of the Proceedings 2st Congreso de la Sociedad Española para las Ciencias del Videojuego, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Analyzing Planning and Monitoring Skills of Users in a Multi-UAV Simulation Environment.
Proceedings of the Advances in Artificial Intelligence, 2015