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Journal Articles
- 2024
[j19]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): 1763-1777 (2024)- 2023
- [j18]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: 100588 (2023) - [j17]Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla:
Neural group recommendation based on a probabilistic semantic aggregation. Neural Comput. Appl. 35(19): 14081-14092 (2023) - [j16]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): 612-621 (2023) - 2022
- [j15]Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera:
Deep learning approach to obtain collaborative filtering neighborhoods. Neural Comput. Appl. 34(4): 2939-2951 (2022) - 2021
- [j14]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): 86-94 (2021) - [j13]Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto, Jesús Bobadilla:
Providing reliability in recommender systems through Bernoulli Matrix Factorization. Inf. Sci. 553: 110-128 (2021) - [j12]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: 106629 (2021) - [j11]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): 7291-7308 (2021) - 2019
- [j10]Priscila Valdiviezo, Fernando Ortega, Eduardo Cobos, Raúl Lara-Cabrera:
A Collaborative Filtering Approach Based on Naïve Bayes Classifier. IEEE Access 7: 108581-108592 (2019) - [j9]Raúl Lara-Cabrera, David Camacho:
A taxonomy and state of the art revision on affective games. Future Gener. Comput. Syst. 92: 516-525 (2019) - [j8]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: 971-978 (2019) - [j7]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: 128-142 (2019) - 2018
- [j6]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: 735-746 (2018) - [j5]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: 180-191 (2018) - 2017
- [j4]Raúl Lara-Cabrera, Antonio González-Pardo, Karim Benouaret, Noura Faci, Djamal Benslimane, David Camacho:
Measuring the Radicalisation Risk in Social Networks. IEEE Access 5: 10892-10900 (2017) - 2015
- [j3]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): 40-48 (2015) - 2014
- [j2]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): 251-258 (2014) - [j1]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): 157-168 (2014)
Conference and Workshop Papers
- 2022
- [c18]Javier Burgos, Raúl Lara-Cabrera:
SlimeLearn: una herramienta para enseñar inteligencia artificia (SlimeLearn: a tool for teaching artificial intelligence). CEV 2022 - 2020
- [c17]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: 1-8 - [c16]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: 91-103 - [c15]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: 206-215 - 2018
- [c14]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 - [c13]Mahmoud Barhamgi, Raúl Lara-Cabrera, Djamal Benslimane, David Camacho:
Ontology Uses for Radicalisation Detection on Social Networks. IDEAL (2) 2018: 3-8 - 2017
- [c12]Raúl Lara-Cabrera, Víctor Rodríguez-Fernández, Javier Paz-Sedano, David Camacho:
Procedural generation of balanced levels for a 3D paintball game. CoSECivi 2017: 43-55 - [c11]Raúl Lara-Cabrera, Antonio González-Pardo, Mahmoud Barhamgi, David Camacho:
Extracting Radicalisation Behavioural Patterns from Social Network Data. DEXA Workshops 2017: 6-10 - [c10]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: 165 - 2016
- [c9]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: 653-668 - 2015
- [c8]Raúl Lara-Cabrera, Mariela Nogueira Collazo, Carlos Cotta, Antonio José Fernández Leiva:
Game Artificial Intelligence: Challenges for the Scientific Community. CoSECivi 2015: 1-12 - 2014
- [c7]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: 298-304 - [c6]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: 199-210 - 2013
- [c5]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: 274-283 - [c4]Raúl Lara-Cabrera, Carlos Cotta, Antonio José Fernández Leiva:
A review of computational intelligence in RTS games. FOCI 2013: 114-121 - [c3]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: 312-323 - [c2]Carlos Cotta, Antonio José Fernández Leiva, Alberto Fuentes Sánchez, Raúl Lara-Cabrera:
Car Setup Optimization via Evolutionary Algorithms. IWANN (2) 2013: 346-354 - [c1]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: 256-263
Editorship
- 2022
- [e2]Raúl Lara-Cabrera, Antonio José Fernández Leiva:
Actas del I Congreso Español de Videojuegos, Madrid, Spain, December 1-2, 2022. CEUR Workshop Proceedings 3305, CEUR-WS.org 2022 [contents] - 2020
- [e1]Raúl Lara-Cabrera, Antonio José Fernández Leiva:
Proceedings of the VI Congreso de la Sociedad Española para las Ciencias del Videojuego, On-line, October 7-8, 2020. CEUR Workshop Proceedings 2719, CEUR-WS.org 2020 [contents]
Informal and Other Publications
- 2023
- [i8]Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla:
Neural Group Recommendation Based on a Probabilistic Semantic Aggregation. CoRR abs/2303.07001 (2023) - [i7]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 abs/2303.08939 (2023) - [i6]Raúl Lara-Cabrera, Ángel González-Prieto, Diego Pérez-López, Diego Trujillo, Fernando Ortega:
An evaluation framework for dimensionality reduction through sectional curvature. CoRR abs/2303.09909 (2023) - [i5]Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla:
Deep Neural Aggregation for Recommending Items to Group of Users. CoRR abs/2307.09447 (2023) - 2022
- [i4]Ángel González-Prieto, Abraham Gutiérrez, Fernando Ortega, Raúl Lara-Cabrera:
ResBeMF: Improving Prediction Coverage of Classification based Collaborative Filtering. CoRR abs/2210.10619 (2022) - 2020
- [i3]Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto, Jesús Bobadilla:
Providing reliability in Recommender Systems through Bernoulli Matrix Factorization. CoRR abs/2006.03481 (2020) - [i2]Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto, Fernando Ortega:
DeepFair: Deep Learning for Improving Fairness in Recommender Systems. CoRR abs/2006.05255 (2020) - [i1]Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera:
Deep Learning feature selection to unhide demographic recommender systems factors. CoRR abs/2006.12379 (2020)
Coauthor Index
aka: Antonio José Fernández Leiva
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