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Lara Cabrera, Raul raul.lara@upm.es

SISTEMAS INFORMÁTICOS / Universidad Politécnica de Madrid

Publications

A Collaborative Filtering approach based on Naive Bayes Classifier

  • Valdiviezo-Diaz P
  • Ortega F
  • Cobos E
  • Lara-Cabrera R

Ieee Access (p. 108581-108592) - 1/1/2019

10.1109/access.2019.2933048 View at source

  • ISSN 21693536

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 View at source

  • 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 View at source

  • 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 View at source

  • ISSN 15662535

CEV 2022 - 1st Spanish Congress on Videogames 2022 [I CONGRESO ESPAÑOL DE VIDEOJUEGOS 2022]

  • Calero PAG
  • Martín MAG
  • Martín PPG
  • Manjón SG
  • Sánchez PG
  • Peinado F
  • Granados AS-R
  • Barbancho I
  • Bueno CB
  • Nicolás AMB
  • Chover M
  • Álvarez JD
  • Echeverría J
  • Fernández Leiva AJ
  • Ruiz MF
  • Gallego-Durán FJ
  • Sánchez PG
  • Vela FLG
  • Lara-Cabrera R
  • León C
  • Moreno JL
  • Muñoz AL
  • Mayor J
  • Medina NM
  • Mejías-Climent L
  • Mora A
  • Munarriz J
  • Patow GA
  • Sagredo I
  • Salinas M-J
  • Peris FJSI
  • Sánchez-Ruiz AA
  • Shliakhovchuk E
  • Tejada J
... View more Collapse

Ceur Workshop Proceedings - 1/1/2022

  • ISSN 16130073
  • iMarina

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 View at source

  • ISSN 09507051

Comparing effectiveness of educational video games of different genres in computer science education

  • López-Fernández, D
  • Gordillo, A
  • Lara-Cabrera, R
  • Alegre, J

Entertainment Computing - 1/8/2023

10.1016/j.entcom.2023.100588 View at source

  • ISSN 18759521

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 View at source

  • 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 View at source

  • 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 View at source

  • ISSN 20763417

This researcher has no books.

This researcher has no book chapters.

A new tool for static and dynamic Android malware analysis

  • Martin, A.
  • Lara-Cabrera, R.
  • Camacho, D.;

Data Science And Knowledge Engineering For Sensing Decision Support (p. 509-516) - 1/1/2018

  • iMarina

A procedural balanced map generator with self-adaptive complexity for the real-time strategy game planet wars

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

14th Conference on Artificial Intelligence in Medicine, AIME 2013 (p. 274-283) - 1/1/2013

10.1007/978-3-642-37192-9-28 View at source

  • ISSN 16113349

A review of computational intelligence in RTS games

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

Proceedings of the 2013 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 (p. 114-121) - 15/10/2013

10.1109/foci.2013.6602463 View at source

A self-adaptive evolutionary approach to the evolution of aesthetic maps for a RTS game

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

Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014 (p. 298-304) - 16/9/2014

10.1109/cec.2014.6900562 View at source

A spatially-structured PCG method for content diversity in a physics-based simulation game

  • Lara-Cabrera R., Gutierrez-Alcoba A., Fernández-Leiva A.

14th Conference on Artificial Intelligence in Medicine, AIME 2013 (p. 653-668) - 1/1/2016

10.1007/978-3-319-31204-0_42 View at source

  • ISSN 16113349

An Initial Study on Human Emotional States in Video Games

  • Torregrosa J., Menéndez-Ferreira R., Lara-Cabrera R., Shih P., Camacho D.

Proceedings Of The Workshop On Affective Computing And Context Awareness In Ambient Intelligence (Afcai 2018), Valencia, Spain, April 19-20, 2018. (p. 1-8) - 19/4/2018

  • ISSN 16130073
  • iMarina

Automatic content generation for a new game based on the problem of three bodies

  • Alcoba A., Lara-Cabrera R., Fernández-Leiva A.

CEUR Workshop Proceedings (p. 199-210) - 1/1/2014

  • ISSN 16130073
  • iMarina

Can an Automatic Tool Assess Risk of Radicalization Online? A Case Study on Facebook

  • Torregrosa, Javier
  • Gilperez-Lopez, Irene
  • Lara-Cabrera, Raul
  • Garriga, David
  • Camacho, David;

2017 European Intelligence And Security Informatics Conference (Eisic) (p. 165-165) - 26/12/2017

10.1109/eisic.2017.36 View at source

  • ISSN 25723723

Car setup optimization via evolutionary algorithms

  • Cotta, Carlos
  • Fernandez-Leiva, Antonio J.
  • Fuentes Sanchez, Alberto
  • Lara-Cabrera, Raul;

14th Conference on Artificial Intelligence in Medicine, AIME 2013 (p. 346-354) - 17/7/2013

10.1007/978-3-642-38682-4_37 View at source

  • ISSN 16113349

Checking the difficulty of evolutionary-generated maps in a N-body inspired mobile game

  • López-Rodríguez C., Fernández-Leiva A.J., Lara-Cabrera R., Mora A.M., García-Sánchez P.

Communications in Computer and Information Science (p. 206-215) - 1/1/2020

10.1007/978-3-030-41913-4_17 View at source

  • ISSN 18650929

This researcher has no working papers.

This researcher has no technical reports.

ICARIA TDM

  • ORTEGA REQUENA, FERNANDO (Colaborador/a)
  • YAGUE PANADERO, AGUSTIN (Colaborador/a)
  • LARA CABRERA, RAUL (Investigador principal (IP))

Period: 01-07-2020 - 31-10-2020

Type of funding: Internal

  • iMarina

INFORME 2ª OPINIÓN 0584/20_ADEVINTAPRODUCTS

  • LARA CABRERA, RAUL (Investigador principal (IP))

Period: 26-07-2021 - 11-04-2023

Type of funding: Internal

  • iMarina

Nuevos Modelos de Cómputo Bioinspirado para Entornos Masivamente Complejos

  • Rodríguez Fernández, Víctor (Miembro del equipo de trabajo)
  • Martín García, Alejandro (Miembro del equipo de trabajo)
  • RAMIREZ ATENCIA, CRISTIAN OLIVER (Miembro del equipo de trabajo)
  • PANIZO LLEDOT, ANGEL (Miembro del equipo de trabajo)
  • LARA CABRERA, RAUL (Miembro del equipo de trabajo)
  • Bello Orgaz, Gema (Miembro del equipo de trabajo)
  • Camacho Fernandez, David (Investigador principal (IP))
... View more Collapse

Period: 01-01-2018 - 30-09-2021

Type of funding: National

Amount of funding: 47432,00 Euros.

  • iMarina

REALIZACION DE SERVICIOS TECNOLOGICOS COMO EXPERTO TECNICO, PROYECTO SCL18RES01

  • LARA CABRERA, RAUL (Investigador principal (IP))

Period: 04-02-2019 - 10-04-2023

Type of funding: Internal

  • iMarina

REALIZACION DE SERVICIOS TECNOLOGICOS COMO EXPERTOO TECNICO

  • LARA CABRERA, RAUL (Investigador principal (IP))

Period: 04-02-2019 - 10-04-2023

Type of funding: Internal

  • iMarina

The Asteroid and Space Debris Network Reloaded

  • Rodríguez Fernández, Víctor (Participante)
  • Camacho Fernandez, David (Investigador principal (IP))
  • STEVENSON, EMMA CHARLOTTE (Becario/a)
  • LARA CABRERA, RAUL (Participante)
  • Bello Orgaz, Gema (Participante)

Period: 01-01-2019 - 30-06-2023

Type of funding: International

Amount of funding: 250904,88 Euros.

  • iMarina

Machine learning techniques for android malware detection and classification

  • Camacho Fernandez, David (Director)
  • LARA CABRERA, RAUL (Director) Doctorando: Martín García, Alejandro

15/3/2019

  • iMarina

This researcher has no patents or software licenses.

Last data update: 3/5/24 2:02 PM