Raúl Lara-Cabrera

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 34

Top Topics

Bayes Classifier

Recommender Systems

Top Venues

Future Gener. Comput. Syst.

Neural Comput. Appl.

Publications

Mahmoud Barhamgi, Abir Masmoudi, Raúl Lara-Cabrera, David Camacho
Social networks data analysis with semantics: application to the radicalization problem. J. Ambient Intell. Humaniz. Comput. 15 (2) (2024)
Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla
Neural Group Recommendation Based on a Probabilistic Semantic Aggregation. CoRR (2023)
Raúl Lara-Cabrera, Ángel González-Prieto, Diego Pérez-López, Diego Trujillo, Fernando Ortega
An evaluation framework for dimensionality reduction through sectional curvature. CoRR (2023)
Raúl Lara-Cabrera, Fernando Ortega, Edgar Talavera, Daniel López-Fernández
Using 3D printed badges to improve student performance and reduce dropout rates in STEM higher education. CoRR (2023)
Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla
Deep Neural Aggregation for Recommending Items to Group of Users. CoRR (2023)
Daniel López-Fernández, Aldo Gordillo, Raúl Lara-Cabrera, Javier Alegre Landáburu
Comparing effectiveness of educational video games of different genres in computer science education. Entertain. Comput. 47 (2023)
Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla
Neural group recommendation based on a probabilistic semantic aggregation. Neural Comput. Appl. 35 (19) (2023)
Raúl Lara-Cabrera, Fernando Ortega, Edgar Talavera, Daniel López-Fernández
Using 3-D Printed Badges to Improve Student Performance and Reduce Dropout Rates in STEM Higher Education. IEEE Trans. Educ. 66 (6) (2023)
Javier Burgos, Raúl Lara-Cabrera
SlimeLearn: una herramienta para enseñar inteligencia artificia (SlimeLearn: a tool for teaching artificial intelligence). CEV (2022)
Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera
Deep learning approach to obtain collaborative filtering neighborhoods. Neural Comput. Appl. 34 (4) (2022)
Ángel González-Prieto, Abraham Gutiérrez, Fernando Ortega, Raúl Lara-Cabrera
ResBeMF: Improving Prediction Coverage of Classification based Collaborative Filtering. CoRR (2022)
Fernando Ortega, Jesús Mayor, Daniel López-Fernández, Raúl Lara-Cabrera
CF4J 2.0: Adapting Collaborative Filtering for Java to new challenges of collaborative filtering based recommender systems. Knowl. Based Syst. 215 (2021)
Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera
Deep learning feature selection to unhide demographic recommender systems factors. Neural Comput. Appl. 33 (12) (2021)
Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto, Fernando Ortega
DeepFair: Deep Learning for Improving Fairness in Recommender Systems. Int. J. Interact. Multim. Artif. Intell. 6 (6) (2021)
Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto, Jesús Bobadilla
Providing reliability in recommender systems through Bernoulli Matrix Factorization. Inf. Sci. 553 (2021)
Carlos López-Rodríguez, Antonio José Fernández Leiva, Raúl Lara-Cabrera, Antonio Miguel Mora, Pablo García-Sánchez
Checking the Difficulty of Evolutionary-Generated Maps in a N-Body Inspired Mobile Game. OLA (2020)
Alejandro Martín, Raúl Lara-Cabrera, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Camacho
Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks. CEC (2020)
Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto, Jesús Bobadilla
Providing reliability in Recommender Systems through Bernoulli Matrix Factorization. CoRR (2020)
Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto, Fernando Ortega
DeepFair: Deep Learning for Improving Fairness in Recommender Systems. CoRR (2020)
Jesús Mayor, Raúl Lara-Cabrera, Daniel López-Fernández, Fernando Ortega
Entornos parcialmente no euclidianos en realidad virtual(Partially non-Euclidean environments in virtual reality). CoSECivi (2020)
Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera
Deep Learning feature selection to unhide demographic recommender systems factors. CoRR (2020)
Raúl Lara-Cabrera, Antonio González-Pardo, David Camacho
Statistical analysis of risk assessment factors and metrics to evaluate radicalisation in Twitter. Future Gener. Comput. Syst. 93 (2019)
Alejandro Martín, Raúl Lara-Cabrera, David Camacho
Android malware detection through hybrid features fusion and ensemble classifiers: The AndroPyTool framework and the OmniDroid dataset. Inf. Fusion 52 (2019)
Priscila Valdiviezo, Fernando Ortega, Eduardo Cobos, Raúl Lara-Cabrera
A Collaborative Filtering Approach Based on Naïve Bayes Classifier. IEEE Access 7 (2019)
Raúl Lara-Cabrera, David Camacho
A taxonomy and state of the art revision on affective games. Future Gener. Comput. Syst. 92 (2019)
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
From ephemeral computing to deep bioinspired algorithms: New trends and applications. Future Gener. Comput. Syst. 88 (2018)
Alejandro Martín, Raúl Lara-Cabrera, Félix Fuentes-Hurtado, Valery Naranjo, David Camacho
EvoDeep: A new evolutionary approach for automatic Deep Neural Networks parametrisation. J. Parallel Distributed Comput. 117 (2018)
Mahmoud Barhamgi, Raúl Lara-Cabrera, Djamal Benslimane, David Camacho
Ontology Uses for Radicalisation Detection on Social Networks. IDEAL (2) (2018)
Javier Torregrosa, Raquel Menéndez-Ferreira, Raúl Lara-Cabrera, Pei-Chun Shih, David Camacho
An Initial Study on Human Emotional States in Video Games. AfCAI (2018)
Raúl Lara-Cabrera, Antonio González-Pardo, Karim Benouaret, Noura Faci, Djamal Benslimane, David Camacho
Measuring the Radicalisation Risk in Social Networks. IEEE Access 5 (2017)
Raúl Lara-Cabrera, Víctor Rodríguez-Fernández, Javier Paz-Sedano, David Camacho
Procedural generation of balanced levels for a 3D paintball game. CoSECivi (2017)
Raúl Lara-Cabrera, Antonio González-Pardo, Mahmoud Barhamgi, David Camacho
Extracting Radicalisation Behavioural Patterns from Social Network Data. DEXA Workshops (2017)
Javier Torregrosa, Irene Gilpérez-López, Raúl Lara-Cabrera, David Garriga, David Camacho
Can an Automatic Tool Assess Risk of Radicalization Online? A Case Study on Facebook. EISIC (2017)
Raúl Lara-Cabrera, Alejandro Gutierrez Alcoba, Antonio José Fernández Leiva
A Spatially-Structured PCG Method for Content Diversity in a Physics-Based Simulation Game. EvoApplications (1) (2016)
Raúl Lara-Cabrera, Mariela Nogueira Collazo, Carlos Cotta, Antonio José Fernández Leiva
Game Artificial Intelligence: Challenges for the Scientific Community. CoSECivi (2015)
Raúl Lara-Cabrera, Mariela Nogueira Collazo, Carlos Cotta, Antonio José Fernández Leiva
Procedural Content Generation for Real-Time Strategy Games. Int. J. Interact. Multim. Artif. Intell. 3 (2) (2015)
Alejandro Gutierrez Alcoba, Raúl Lara-Cabrera, Antonio José Fernández Leiva
Generación automática de contenido para un nuevo juego basado en el problema de los tres cuerpos. CoSECivi (2014)
Raúl Lara-Cabrera, Carlos Cotta, Antonio José Fernández Leiva
A self-adaptive evolutionary approach to the evolution of aesthetic maps for a RTS game. IEEE Congress on Evolutionary Computation (2014)
Raúl Lara-Cabrera, Carlos Cotta, Antonio José Fernández Leiva
On balance and dynamism in procedural content generation with self-adaptive evolutionary algorithms. Nat. Comput. 13 (2) (2014)
Raúl Lara-Cabrera, Carlos Cotta, Antonio José Fernández Leiva
Geometrical vs topological measures for the evolution of aesthetic maps in a RTS game. Entertain. Comput. 5 (4) (2014)
Antonio Miguel Mora, Francisco Aisa, Ricardo Caballero, Pablo García-Sánchez, Juan Julián Merelo Guervós, Pedro A. Castillo, Raúl Lara-Cabrera
Designing and Evolving an Unreal TournamentTM 2004 Expert Bot. IWANN (2) (2013)
Carlos Cotta, Antonio José Fernández Leiva, Alberto Fuentes Sánchez, Raúl Lara-Cabrera
Car Setup Optimization via Evolutionary Algorithms. IWANN (2) (2013)
Raúl Lara-Cabrera, Carlos Cotta, Antonio José Fernández Leiva
Using Self-Adaptive Evolutionary Algorithms to Evolve Dynamism-Oriented Maps for a Real Time Strategy Game. LSSC (2013)
Raúl Lara-Cabrera, Carlos Cotta, Antonio José Fernández Leiva
A Procedural Balanced Map Generator with Self-adaptive Complexity for the Real-Time Strategy Game Planet Wars. EvoApplications (2013)
Raúl Lara-Cabrera, Carlos Cotta, Antonio José Fernández Leiva
A review of computational intelligence in RTS games. FOCI (2013)