Raúl Lara-Cabrera

50 papers B 3Journal 30Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep neural aggregation for recommending items to group of users. Appl. Soft Comput. Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla
2025	J	`jnl`	Efficient n-body simulations using physics informed graph neural networks. CoRR Víctor Ramos-Osuna, Alberto Díaz-Álvarez, Raúl Lara-Cabrera
2025	J	`jnl`	Statistical Analysis of Risk Assessment Factors and Metrics to Evaluate Radicalisation in Twitter. CoRR Raúl Lara-Cabrera, Antonio González-Pardo, David Camacho
2024	J	`jnl`	Social networks data analysis with semantics: application to the radicalization problem. J. Ambient Intell. Humaniz. Comput. Mahmoud Barhamgi, Abir Masmoudi, Raúl Lara-Cabrera, David Camacho
2023	J	`jnl`	An evaluation framework for dimensionality reduction through sectional curvature. CoRR Raúl Lara-Cabrera, Ángel González-Prieto, Diego Pérez-López, Diego Trujillo, Fernando Ortega
2023	J	`jnl`	Comparing effectiveness of educational video games of different genres in computer science education. Entertain. Comput. Daniel López-Fernández, Aldo Gordillo, Raúl Lara-Cabrera, Javier Alegre Landáburu
2023	J	`jnl`	Deep Neural Aggregation for Recommending Items to Group of Users. CoRR Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla
2023	J	`jnl`	Neural Group Recommendation Based on a Probabilistic Semantic Aggregation. CoRR Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla
2023	J	`jnl`	Neural group recommendation based on a probabilistic semantic aggregation. Neural Comput. Appl. Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla
2023	J	`jnl`	Using 3-D Printed Badges to Improve Student Performance and Reduce Dropout Rates in STEM Higher Education. IEEE Trans. Educ. Raúl Lara-Cabrera, Fernando Ortega, Edgar Talavera, Daniel López-Fernández
2023	J	`jnl`	Using 3D printed badges to improve student performance and reduce dropout rates in STEM higher education. CoRR Raúl Lara-Cabrera, Fernando Ortega, Edgar Talavera, Daniel López-Fernández
2022	—	`ed.`	Actas del I Congreso Español de Videojuegos, Madrid, Spain, December 1-2, 2022. CEV Raúl Lara-Cabrera, Antonio José Fernández Leiva
2022	J	`jnl`	Deep learning approach to obtain collaborative filtering neighborhoods. Neural Comput. Appl. Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera
2022	J	`jnl`	ResBeMF: Improving Prediction Coverage of Classification based Collaborative Filtering. CoRR Ángel González-Prieto, Abraham Gutiérrez, Fernando Ortega, Raúl Lara-Cabrera
2022	—	`conf`	SlimeLearn: una herramienta para enseñar inteligencia artificia (SlimeLearn: a tool for teaching artificial intelligence). CEV Javier Burgos, Raúl Lara-Cabrera
2021	J	`jnl`	CF4J 2.0: Adapting Collaborative Filtering for Java to new challenges of collaborative filtering based recommender systems. Knowl. Based Syst. Fernando Ortega, Jesús Mayor, Daniel López-Fernández, Raúl Lara-Cabrera
2021	J	`jnl`	Deep learning feature selection to unhide demographic recommender systems factors. Neural Comput. Appl. Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera
2021	J	`jnl`	DeepFair: Deep Learning for Improving Fairness in Recommender Systems. Int. J. Interact. Multim. Artif. Intell. Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto, Fernando Ortega
2021	J	`jnl`	Providing reliability in recommender systems through Bernoulli Matrix Factorization. Inf. Sci. Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto, Jesús Bobadilla
2020	—	`conf`	Checking the Difficulty of Evolutionary-Generated Maps in a N-Body Inspired Mobile Game. OLA Carlos López-Rodríguez, Antonio José Fernández Leiva, Raúl Lara-Cabrera, Antonio Miguel Mora, Pablo García-Sánchez
2020	J	`jnl`	Deep Learning feature selection to unhide demographic recommender systems factors. CoRR Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera
2020	J	`jnl`	DeepFair: Deep Learning for Improving Fairness in Recommender Systems. CoRR Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto, Fernando Ortega
2020	—	`conf`	Entornos parcialmente no euclidianos en realidad virtual(Partially non-Euclidean environments in virtual reality). CoSECivi Jesús Mayor, Raúl Lara-Cabrera, Daniel López-Fernández, Fernando Ortega
2020	—	`ed.`	Proceedings of the VI Congreso de la Sociedad Española para las Ciencias del Videojuego, On-line, October 7-8, 2020. CoSECiVi Raúl Lara-Cabrera, Antonio José Fernández Leiva
2020	J	`jnl`	Providing reliability in Recommender Systems through Bernoulli Matrix Factorization. CoRR Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto, Jesús Bobadilla
2020	B	`conf`	Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks. CEC Alejandro Martín, Raúl Lara-Cabrera, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Camacho
2019	J	`jnl`	A Collaborative Filtering Approach Based on Naïve Bayes Classifier. IEEE Access Priscila Valdiviezo, Fernando Ortega, Eduardo Cobos, Raúl Lara-Cabrera
2019	J	`jnl`	A taxonomy and state of the art revision on affective games. Future Gener. Comput. Syst. Raúl Lara-Cabrera, David Camacho
2019	J	`jnl`	Android malware detection through hybrid features fusion and ensemble classifiers: The AndroPyTool framework and the OmniDroid dataset. Inf. Fusion Alejandro Martín, Raúl Lara-Cabrera, David Camacho
2019	J	`jnl`	Statistical analysis of risk assessment factors and metrics to evaluate radicalisation in Twitter. Future Gener. Comput. Syst. Raúl Lara-Cabrera, Antonio González-Pardo, David Camacho
2018	—	`conf`	An Initial Study on Human Emotional States in Video Games. AfCAI Javier Torregrosa, Raquel Menéndez-Ferreira, Raúl Lara-Cabrera, Pei-Chun Shih, David Camacho
2018	J	`jnl`	EvoDeep: A new evolutionary approach for automatic Deep Neural Networks parametrisation. J. Parallel Distributed Comput. Alejandro Martín, Raúl Lara-Cabrera, Félix Fuentes-Hurtado, Valery Naranjo, David Camacho
2018	J	`jnl`	From ephemeral computing to deep bioinspired algorithms: New trends and applications. Future Gener. Comput. Syst. 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
2018	—	`conf`	Ontology Uses for Radicalisation Detection on Social Networks. IDEAL (2) Mahmoud Barhamgi, Raúl Lara-Cabrera, Djamal Benslimane, David Camacho
2017	—	`conf`	Can an Automatic Tool Assess Risk of Radicalization Online? A Case Study on Facebook. EISIC Javier Torregrosa, Irene Gilpérez-López, Raúl Lara-Cabrera, David Garriga, David Camacho
2017	—	`conf`	Extracting Radicalisation Behavioural Patterns from Social Network Data. DEXA Workshops Raúl Lara-Cabrera, Antonio González-Pardo, Mahmoud Barhamgi, David Camacho
2017	J	`jnl`	Measuring the Radicalisation Risk in Social Networks. IEEE Access Raúl Lara-Cabrera, Antonio González-Pardo, Karim Benouaret, Noura Faci, Djamal Benslimane, David Camacho
2017	—	`conf`	Procedural generation of balanced levels for a 3D paintball game. CoSECivi Raúl Lara-Cabrera, Víctor Rodríguez-Fernández, Javier Paz-Sedano, David Camacho
2016	—	`conf`	A Spatially-Structured PCG Method for Content Diversity in a Physics-Based Simulation Game. EvoApplications (1) Raúl Lara-Cabrera, Alejandro Gutierrez Alcoba, Antonio José Fernández Leiva
2015	—	`conf`	Game Artificial Intelligence: Challenges for the Scientific Community. CoSECivi Raúl Lara-Cabrera, Mariela Nogueira Collazo, Carlos Cotta, Antonio José Fernández Leiva
2015	J	`jnl`	Procedural Content Generation for Real-Time Strategy Games. Int. J. Interact. Multim. Artif. Intell. Raúl Lara-Cabrera, Mariela Nogueira Collazo, Carlos Cotta, Antonio José Fernández Leiva
2014	B	`conf`	A self-adaptive evolutionary approach to the evolution of aesthetic maps for a RTS game. IEEE Congress on Evolutionary Computation Raúl Lara-Cabrera, Carlos Cotta, Antonio José Fernández Leiva
2014	—	`conf`	Generación automática de contenido para un nuevo juego basado en el problema de los tres cuerpos. CoSECivi Alejandro Gutierrez Alcoba, Raúl Lara-Cabrera, Antonio José Fernández Leiva
2014	J	`jnl`	Geometrical vs topological measures for the evolution of aesthetic maps in a RTS game. Entertain. Comput. Raúl Lara-Cabrera, Carlos Cotta, Antonio José Fernández Leiva
2014	J	`jnl`	On balance and dynamism in procedural content generation with self-adaptive evolutionary algorithms. Nat. Comput. Raúl Lara-Cabrera, Carlos Cotta, Antonio José Fernández Leiva
2013	B	`conf`	A Procedural Balanced Map Generator with Self-adaptive Complexity for the Real-Time Strategy Game Planet Wars. EvoApplications Raúl Lara-Cabrera, Carlos Cotta, Antonio José Fernández Leiva
2013	—	`conf`	A review of computational intelligence in RTS games. FOCI Raúl Lara-Cabrera, Carlos Cotta, Antonio José Fernández Leiva
2013	—	`conf`	Car Setup Optimization via Evolutionary Algorithms. IWANN (2) Carlos Cotta, Antonio José Fernández Leiva, Alberto Fuentes Sánchez, Raúl Lara-Cabrera
2013	—	`conf`	Designing and Evolving an Unreal TournamentTM 2004 Expert Bot. IWANN (2) Antonio Miguel Mora, Francisco Aisa, Ricardo Caballero, Pablo García-Sánchez, Juan Julián Merelo Guervós, Pedro A. Castillo, Raúl Lara-Cabrera
2013	—	`conf`	Using Self-Adaptive Evolutionary Algorithms to Evolve Dynamism-Oriented Maps for a Real Time Strategy Game. LSSC Raúl Lara-Cabrera, Carlos Cotta, Antonio José Fernández Leiva