Analyzing Planning and Monitoring Skills of Users in a Multi-UAV Simulation Environment. - Víctor Rodríguez-Fernández; Héctor D. Menéndez 001; David Camacho (CAEPIA, 2015)

A multi-UAV Mission Planning videogame-based framework for player analysis. - Víctor Rodríguez-Fernández; Cristian Ramírez-Atencia; David Camacho (CEC, 2015)

A Summary of Player Assessment in a Multi-UAV Mission Planning Serious Game. - Víctor Rodríguez-Fernández; Cristian Ramírez-Atencia; David Camacho (CoSECivi, 2015)

Design and development of a lightweight multi-UAV simulator. - Víctor Rodríguez-Fernández; Héctor D. Menéndez 001; David Camacho (CYBCONF, 2015)

User Profile Analysis for UAV Operators in a Simulation Environment. - Víctor Rodríguez-Fernández; Héctor D. Menéndez 001; David Camacho (ICCCI (1), 2015)

Modeling the Behavior of Unskilled Users in a Multi-UAV Simulation Environment. - Víctor Rodríguez-Fernández; Antonio González-Pardo; David Camacho (IDEAL, 2015)

A method for building predictive HSMMs in interactive environments. - Víctor Rodríguez-Fernández; Antonio González-Pardo; David Camacho (CEC, 2016)

Desarrollo de una Plataforma Basada en Unity3D para la Aplicación de IA en Videojuegos. - Óscar Manuel Losada Suárez; Víctor Rodríguez-Fernández; Cristian Ramírez-Atencia; David Camacho (CoSECivi, 2016)

Finding behavioral patterns of UAV operators using Multichannel Hidden Markov Models. - Víctor Rodríguez-Fernández; Antonio González-Pardo; David Camacho (SSCI, 2016)

Automatic profile generation for UAV operators using a simulation-based training environment. - Víctor Rodríguez-Fernández; Héctor D. Menéndez 001; David Camacho (Prog. Artif. Intell., 2016)

New Artificial Intelligence approaches for future UAV Ground Control Stations. - Cristian Ramírez-Atencia; Víctor Rodríguez-Fernández; Antonio González-Pardo; David Camacho (CEC, 2017)

Procedural generation of balanced levels for a 3D paintball game. - Raúl Lara-Cabrera; Víctor Rodríguez-Fernández; Javier Paz-Sedano; David Camacho (CoSECivi, 2017)

Modelling Behaviour in UAV Operations Using Higher Order Double Chain Markov Models. - Víctor Rodríguez-Fernández; Antonio González-Pardo; David Camacho (IEEE Comput. Intell. Mag., 2017)

Analysing temporal performance profiles of UAV operators using time series clustering. - Víctor Rodríguez-Fernández; Héctor D. Menéndez 001; David Camacho (Expert Syst. Appl., 2017)

A study on performance metrics and clustering methods for analyzing behavior in UAV operations. - Víctor Rodríguez-Fernández; Héctor D. Menéndez 001; David Camacho (J. Intell. Fuzzy Syst., 2017)

CANDYMAN: Classifying Android malware families by modelling dynamic traces with Markov chains. - Alejandro Martín; Víctor Rodríguez-Fernández; David Camacho (Eng. Appl. Artif. Intell., 2018)

Automatic Procedure Following Evaluation Using Petri Net-Based Workflows. - Víctor Rodríguez-Fernández; Antonio González-Pardo; David Camacho (IEEE Trans. Ind. Informatics, 2018)

BIRAFFE: Bio-Reactions and Faces for Emotion-based Personalization. - Krzysztof Kutt; Dominika Drazyk; Pawel Jemiolo; Szymon Bobek; Barbara Gizycka; Víctor Rodríguez-Fernández; Grzegorz J. Nalepa (AfCAI, 2019)

Extensions of Hidden Markov Models for supporting instructors in the analysis of training operations in an Unmanned Aircraft System. - Víctor Rodríguez-Fernández (SA, 2019)

Fake News Detection Using Time Series and User Features Classification. - Maria Laura Previti; Víctor Rodríguez-Fernández; David Camacho; Vincenza Carchiolo; Michele Malgeri (EvoApplications, 2020)

Finding Behavioural Patterns Among League of Legends Players Through Hidden Markov Models. - Alberto Mateos Rama; Víctor Rodríguez-Fernández; David Camacho (EvoApplications, 2020)

Special issue on "Machine Learning Challenges and Applications for Industry 4.0". - Víctor Rodríguez-Fernández; David Camacho (Expert Syst. J. Knowl. Eng., 2020)

A revision on multi-criteria decision making methods for multi-UAV mission planning support. - Cristian Ramírez-Atencia; Víctor Rodríguez-Fernández; David Camacho (Expert Syst. Appl., 2020)

Marketing analysis of wineries using social collective behavior from users' temporal activity on Twitter. - Gema Bello Orgaz; Rus M. Mesas; Carmen Zarco; Víctor Rodríguez-Fernández; Oscar Cordón; David Camacho (Inf. Process. Manag., 2020)

An Implementation of the "Guess Who?" Game Using CLIP. - Arnau Martí-Sarri; Víctor Rodríguez-Fernández (IDEAL, 2021)

Conformance Checking for Time-Series-Aware Processes. - Víctor Rodríguez-Fernández; Agnieszka Trzcionkowska; Antonio González-Pardo; Edyta Brzychczy; Grzegorz J. Nalepa; David Camacho (IEEE Trans. Ind. Informatics, 2021)

Predicting the effects of kinetic impactors on asteroid deflection using end-to-end deep learning. - Emma Stevenson; Riansares Martinez; Víctor Rodríguez-Fernández; David Camacho (CEC, 2022)

Transformer-based Atmospheric Density Forecasting. - Julia Briden; Peng Mun Siew; Víctor Rodríguez-Fernández; Richard Linares (CoRR, 2023)

Self-supervised Machine Learning Based Approach to Orbit Modelling Applied to Space Traffic Management. - Emma Stevenson; Víctor Rodríguez-Fernández; Hodei Urrutxua; Vincent Morand; David Camacho (CoRR, 2023)

DeepVATS: Deep Visual Analytics for Time Series. - Víctor Rodríguez-Fernández; David Montalvo; Francesco Piccialli; Grzegorz J. Nalepa; David Camacho (Knowl. Based Syst., 2023)

Robust Classification with Belief Functions and Deep Learning Applied to STM. - Luis Sánchez; Víctor Rodríguez-Fernández; Massimiliano Vasile (CEC, 2024)

Towards a Machine Learning-Based Approach to Predict Space Object Density Distributions. - Víctor Rodríguez-Fernández; Sumiyajav Sarangerel; Peng Mun Siew; Pablo Machuca; Daniel Jang; Richard Linares (CoRR, 2024)

Language Models are Spacecraft Operators. - Víctor Rodríguez-Fernández; Alejandro Carrasco; Jason Cheng; Eli Scharf; Peng Mun Siew; Richard Linares (CoRR, 2024)

Enhancing Solar Driver Forecasting with Multivariate Transformers. - Sergio Sanchez-Hurtado; Víctor Rodríguez-Fernández; Julia Briden; Peng Mun Siew; Richard Linares (CoRR, 2024)

Generative Design of Periodic Orbits in the Restricted Three-Body Problem. - Alvaro Francisco Gil; Walther Litteri; Víctor Rodríguez-Fernández; David Camacho; Massimiliano Vasile (CoRR, 2024)

Exploring Scalability in Large-Scale Time Series in DeepVATS framework. - Inmaculada Santamaria-Valenzuela; Víctor Rodríguez-Fernández; David Camacho (CoRR, 2024)

Fine-tuning LLMs for Autonomous Spacecraft Control: A Case Study Using Kerbal Space Program. - Alejandro Carrasco; Víctor Rodríguez-Fernández; Richard Linares (CoRR, 2024)

DreamSat: Towards a General 3D Model for Novel View Synthesis of Space Objects. - Nidhi Mathihalli; Audrey Wei; Giovanni Lavezzi; Peng Mun Siew; Víctor Rodríguez-Fernández; Hodei Urrutxua; Richard Linares (CoRR, 2024)

Recent trends and advances in machine learning challenges and applications for industry 4.0. - Víctor Rodríguez-Fernández; David Camacho (Expert Syst. J. Knowl. Eng., 2024)

Visual Language Models as Operator Agents in the Space Domain. - Alejandro Carrasco; Marco Nedungadi; Enrico M. Zucchelli; Amit Jain; Víctor Rodríguez-Fernández; Richard Linares (CoRR, 2025)

Fine-Tuned Language Models as Space Systems Controllers. - Enrico M. Zucchelli; Di Wu; Julia Briden; Christian Hofmann; Víctor Rodríguez-Fernández; Richard Linares (CoRR, 2025)

On the Integration of Large-Scale Time Series Distance Matrices Into Deep Visual Analytic Tools. - Inmaculada Santamaria-Valenzuela; Víctor Rodríguez-Fernández; David Camacho (Cogn. Comput., 2025)

Decoding Latent Spaces: Assessing the Interpretability of Time Series Foundation Models for Visual Analytics. - Inmaculada Santamaria-Valenzuela; Víctor Rodríguez-Fernández; Javier Huertas-Tato; Jong Hyuk Park 001; David Camacho (CoRR, 2025)

Large Language Models as Autonomous Spacecraft Operators in Kerbal Space Program. - Alejandro Carrasco; Víctor Rodríguez-Fernández; Richard Linares (CoRR, 2025)

DreamSat-2.0: Towards a General Single-View Asteroid 3D Reconstruction. - Santiago Diaz; Xinghui Hu; Josiane Uwumukiza; Giovanni Lavezzi; Víctor Rodríguez-Fernández; Richard Linares (CoRR, 2025)