A Procedural Balanced Map Generator with Self-adaptive Complexity for the Real-Time Strategy Game Planet Wars. - Raúl Lara-Cabrera; Carlos Cotta; Antonio José Fernández Leiva (EvoApplications, 2013)

A review of computational intelligence in RTS games. - Raúl Lara-Cabrera; Carlos Cotta; Antonio José Fernández Leiva (FOCI, 2013)

Car Setup Optimization via Evolutionary Algorithms. - Carlos Cotta; Antonio José Fernández Leiva; Alberto Fuentes Sánchez; Raúl Lara-Cabrera (IWANN (2), 2013)

Designing and Evolving an Unreal TournamentTM 2004 Expert Bot. - Antonio Miguel Mora; Francisco Aisa; Ricardo Caballero; Pablo García-Sánchez; Juan Julián Merelo Guervós; Pedro A. Castillo; Raúl Lara-Cabrera (IWANN (2), 2013)

Using Self-Adaptive Evolutionary Algorithms to Evolve Dynamism-Oriented Maps for a Real Time Strategy Game. - Raúl Lara-Cabrera; Carlos Cotta; Antonio José Fernández Leiva (LSSC, 2013)

A self-adaptive evolutionary approach to the evolution of aesthetic maps for a RTS game. - Raúl Lara-Cabrera; Carlos Cotta; Antonio José Fernández Leiva (IEEE Congress on Evolutionary Computation, 2014)

Generación automática de contenido para un nuevo juego basado en el problema de los tres cuerpos. - Alejandro Gutierrez Alcoba; Raúl Lara-Cabrera; Antonio José Fernández Leiva (CoSECivi, 2014)

Geometrical vs topological measures for the evolution of aesthetic maps in a RTS game. - Raúl Lara-Cabrera; Carlos Cotta; Antonio José Fernández Leiva (Entertain. Comput., 2014)

On balance and dynamism in procedural content generation with self-adaptive evolutionary algorithms. - Raúl Lara-Cabrera; Carlos Cotta; Antonio José Fernández Leiva (Nat. Comput., 2014)

Game Artificial Intelligence: Challenges for the Scientific Community. - Raúl Lara-Cabrera; Mariela Nogueira Collazo; Carlos Cotta; Antonio José Fernández Leiva (CoSECivi, 2015)

Procedural Content Generation for Real-Time Strategy Games. - Raúl Lara-Cabrera; Mariela Nogueira Collazo; Carlos Cotta; Antonio José Fernández Leiva (Int. J. Interact. Multim. Artif. Intell., 2015)

A Spatially-Structured PCG Method for Content Diversity in a Physics-Based Simulation Game. - Raúl Lara-Cabrera; Alejandro Gutierrez Alcoba; Antonio José Fernández Leiva (EvoApplications (1), 2016)

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

Extracting Radicalisation Behavioural Patterns from Social Network Data. - Raúl Lara-Cabrera; Antonio González-Pardo; Mahmoud Barhamgi; David Camacho (DEXA Workshops, 2017)

Can an Automatic Tool Assess Risk of Radicalization Online? A Case Study on Facebook. - Javier Torregrosa; Irene Gilpérez-López; Raúl Lara-Cabrera; David Garriga; David Camacho (EISIC, 2017)

Measuring the Radicalisation Risk in Social Networks. - Raúl Lara-Cabrera; Antonio González-Pardo; Karim Benouaret; Noura Faci; Djamal Benslimane; David Camacho (IEEE Access, 2017)

An Initial Study on Human Emotional States in Video Games. - Javier Torregrosa; Raquel Menéndez-Ferreira; Raúl Lara-Cabrera; Pei-Chun Shih; David Camacho (AfCAI, 2018)

Ontology Uses for Radicalisation Detection on Social Networks. - Mahmoud Barhamgi; Raúl Lara-Cabrera; Djamal Benslimane; David Camacho (IDEAL (2), 2018)

From ephemeral computing to deep bioinspired algorithms: New trends and applications. - David Camacho; Raúl Lara-Cabrera; Juan Julián Merelo Guervós; Pedro A. Castillo; Carlos Cotta; Antonio José Fernández Leiva; Francisco Fernández de Vega; Francisco Chávez de la O (Future Gener. Comput. Syst., 2018)

EvoDeep: A new evolutionary approach for automatic Deep Neural Networks parametrisation. - Alejandro Martín; Raúl Lara-Cabrera; Félix Fuentes-Hurtado; Valery Naranjo; David Camacho (J. Parallel Distributed Comput., 2018)

A Collaborative Filtering Approach Based on Naïve Bayes Classifier. - Priscila Valdiviezo; Fernando Ortega 001; Eduardo Cobos; Raúl Lara-Cabrera (IEEE Access, 2019)

A taxonomy and state of the art revision on affective games. - Raúl Lara-Cabrera; David Camacho (Future Gener. Comput. Syst., 2019)

Statistical analysis of risk assessment factors and metrics to evaluate radicalisation in Twitter. - Raúl Lara-Cabrera; Antonio González-Pardo; David Camacho (Future Gener. Comput. Syst., 2019)

Android malware detection through hybrid features fusion and ensemble classifiers: The AndroPyTool framework and the OmniDroid dataset. - Alejandro Martín; Raúl Lara-Cabrera; David Camacho (Inf. Fusion, 2019)

Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks. - Alejandro Martín; Raúl Lara-Cabrera; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez; David Camacho (CEC, 2020)

Entornos parcialmente no euclidianos en realidad virtual(Partially non-Euclidean environments in virtual reality). - Jesús Mayor; Raúl Lara-Cabrera; Daniel López-Fernández; Fernando Ortega 001 (CoSECivi, 2020)

Checking the Difficulty of Evolutionary-Generated Maps in a N-Body Inspired Mobile Game. - Carlos López-Rodríguez; Antonio José Fernández Leiva; Raúl Lara-Cabrera; Antonio Miguel Mora; Pablo García-Sánchez (OLA, 2020)

DeepFair: Deep Learning for Improving Fairness in Recommender Systems. - Jesús Bobadilla; Raúl Lara-Cabrera; Ángel González-Prieto; Fernando Ortega 001 (Int. J. Interact. Multim. Artif. Intell., 2021)

Providing reliability in recommender systems through Bernoulli Matrix Factorization. - Fernando Ortega 001; Raúl Lara-Cabrera; Ángel González-Prieto; Jesús Bobadilla (Inf. Sci., 2021)

CF4J 2.0: Adapting Collaborative Filtering for Java to new challenges of collaborative filtering based recommender systems. - Fernando Ortega 001; Jesús Mayor; Daniel López-Fernández; Raúl Lara-Cabrera (Knowl. Based Syst., 2021)

Deep learning feature selection to unhide demographic recommender systems factors. - Jesús Bobadilla; Ángel González-Prieto; Fernando Ortega 001; Raúl Lara-Cabrera (Neural Comput. Appl., 2021)

SlimeLearn: una herramienta para enseñar inteligencia artificia (SlimeLearn: a tool for teaching artificial intelligence). - Javier Burgos; Raúl Lara-Cabrera (CEV, 2022)

ResBeMF: Improving Prediction Coverage of Classification based Collaborative Filtering. - Ángel González-Prieto; Abraham Gutiérrez; Fernando Ortega 001; Raúl Lara-Cabrera (CoRR, 2022)

Deep learning approach to obtain collaborative filtering neighborhoods. - Jesús Bobadilla; Ángel González-Prieto; Fernando Ortega 001; Raúl Lara-Cabrera (Neural Comput. Appl., 2022)

Using 3D printed badges to improve student performance and reduce dropout rates in STEM higher education. - Raúl Lara-Cabrera; Fernando Ortega 001; Edgar Talavera; Daniel López-Fernández (CoRR, 2023)

An evaluation framework for dimensionality reduction through sectional curvature. - Raúl Lara-Cabrera; Ángel González-Prieto; Diego Pérez-López; Diego Trujillo; Fernando Ortega 001 (CoRR, 2023)

Neural group recommendation based on a probabilistic semantic aggregation. - Jorge Dueñas-Lerín; Raúl Lara-Cabrera; Fernando Ortega 001; Jesús Bobadilla (Neural Comput. Appl., 2023)

Comparing effectiveness of educational video games of different genres in computer science education. - Daniel López-Fernández; Aldo Gordillo; Raúl Lara-Cabrera; Javier Alegre Landáburu (Entertain. Comput., 2023)

Using 3-D Printed Badges to Improve Student Performance and Reduce Dropout Rates in STEM Higher Education. - Raúl Lara-Cabrera; Fernando Ortega 001; Edgar Talavera; Daniel López-Fernández (IEEE Trans. Educ., 2023)

Social networks data analysis with semantics: application to the radicalization problem. - Mahmoud Barhamgi; Abir Masmoudi 002; Raúl Lara-Cabrera; David Camacho (J. Ambient Intell. Humaniz. Comput., 2024)

Deep neural aggregation for recommending items to group of users. - Jorge Dueñas-Lerín; Raúl Lara-Cabrera; Fernando Ortega 001; Jesús Bobadilla (Appl. Soft Comput., 2025)

Efficient n-body simulations using physics informed graph neural networks. - Víctor Ramos-Osuna; Alberto Díaz-Álvarez; Raúl Lara-Cabrera (CoRR, 2025)