Lara Cabrera, Raul raul.lara@uam.es

Actividades

A taxonomy and state of the art revision on affective games

  • Lara-Cabrera R., Camacho D.

Future Generation Computer Systems-The International Journal Of Escience (p. 516-525) - 1/3/2019

10.1016/j.future.2017.12.056 Ver en origen

  • ISSN 0167739X

An analysis of the structure and evolution of the scientific collaboration network of computer intelligence in games

  • Lara-Cabrera R., Cotta C., Fernández-Leiva A.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (p. 523-536) - 1/2/2014

10.1016/j.physa.2013.10.036 Ver en origen

  • ISSN 03784371

Android malware detection through hybrid features fusion and ensemble classifiers: The AndroPyTool framework and the OmniDroid dataset

  • Martín A., Lara-Cabrera R., Camacho D.

Information Fusion (p. 128-142) - 1/12/2019

10.1016/j.inffus.2018.12.006 Ver en origen

  • ISSN 15662535

CF4J 2.0: Adapting Collaborative Filtering for Java to new challenges of collaborative filtering based recommender systems

  • Ortega F
  • Mayor J
  • López-Fernández D
  • Lara-Cabrera R

Knowledge-Based Systems - 1/1/2021

10.1016/j.knosys.2020.106629 Ver en origen

  • ISSN 09507051

Deep learning approach to obtain collaborative filtering neighborhoods

  • Bobadilla, Jesus
  • Gonzalez-Prieto, Angel
  • Ortega, Fernando
  • Lara-Cabrera, Raul;

Neural Computing & Applications (p. 2939-2951) - 1/1/2022

10.1007/s00521-021-06493-7 Ver en origen

  • ISSN 14333058

Deep learning feature selection to unhide demographic recommender systems factors

  • Bobadilla, J.
  • Gonzalez-Prieto, A.
  • Ortega, F.
  • Lara-Cabrera, R.;

Neural Computing & Applications (p. 7291-7308) - 1/1/2021

10.1007/s00521-020-05494-2 Ver en origen

  • ISSN 14333058

Deep matrix factorization approach for collaborative filtering recommender systems

  • Lara-Cabrera R., González-Prieto Á., Ortega F.

Applied Sciences-Basel - 1/7/2020

10.3390/app10144926 Ver en origen

  • ISSN 20763417

Dirichlet Matrix Factorization: A Reliable Classification-Based Recommender System

  • Lara-Cabrera R
  • González Á
  • Ortega F
  • González-Prieto Á

Applied Sciences-Basel - 1/1/2022

10.3390/app12031223 Ver en origen

  • ISSN 20763417

EvoDeep: A new evolutionary approach for automatic Deep Neural Networks parametrisation

  • Martin, Alejandro
  • Lara-Cabrera, Raul
  • Fuentes-Hurtado, Felix
  • Naranjo, Valery
  • Camacho, David;

Journal Of Parallel And Distributed Computing (p. 180-191) - 1/7/2018

10.1016/j.jpdc.2017.09.006 Ver en origen

  • ISSN 07437315

Evolving Matrix-Factorization-Based Collaborative Filtering Using Genetic Programming

  • Lara-Cabrera, Raul
  • Gonzalez-Prieto, Angel
  • Ortega, Fernando
  • Bobadilla, Jesus;

Applied Sciences-Basel - 1/1/2020

10.3390/app10020675 Ver en origen

  • ISSN 20763417

Este/a investigador/a no tiene libros.

Este/a investigador/a no tiene capítulos de libro.

Game artificial intelligence: Challenges for the scientific community

  • Lara-Cabrera R., Nogueira-Collazo M., Cotta C., Fernández-Leiva A.

CEUR Workshop Proceedings (p. 1-12) - 1/1/2015

  • ISSN 16130073
  • iMarina

Ontology uses for radicalisation detection on social networks

  • Barhamgi M., Lara-Cabrera R., Benslimane D., Camacho D.

Lecture Notes In Computer Science (p. 3-8) - 1/1/2018

10.1007/978-3-030-03496-2_1 Ver en origen

  • ISSN 03029743

Procedural map generation for a RTS game

  • Lara-Cabrera R., Cotta C., Fernandez-Leiva A.

13th International Conference on Intelligent Games and Simulation, GAME-ON 2012 (p. 53-58) - 1/12/2012

  • iMarina

Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks

  • Alejandro Martin
  • Raúl Lara-Cabrera
  • Víctor Manuel Vargas
  • Pedro Antonio Gutiérrez
  • César Hervás-Martínez
  • David Camacho

2020 Ieee Congress On Evolutionary Computation, Cec 2020 - Conference Proceedings (p. 1-8) - 1/7/2020

10.1109/cec48606.2020.9185914 Ver en origen

Using self-adaptive evolutionary algorithms to evolve dynamism-oriented maps for a real time strategy game

  • Lara-Cabrera R., Cotta C., Fernández-Leiva A.

14th Conference on Artificial Intelligence in Medicine, AIME 2013 (p. 256-263) - 1/1/2014

10.1007/978-3-662-43880-0_28 Ver en origen

  • ISSN 16113349

Este/a investigador/a no tiene documentos de trabajo.

Este/a investigador/a no tiene informes técnicos.

Este/a investigador/a no tiene proyectos de investigación.

Este/a investigador/a no tiene tesis dirigidas.

Este/a investigador/a no tiene patentes o licencias de software.

Última actualización de los datos: 5/03/24 14:02