Martin Garcia, Alejandro alejandro.martin@uam.es

Fusing CNNs and statistical indicators to improve image classification

  • Huertas-Tato J
  • Martín A
  • Fierrez J
  • Camacho D

Information Fusion (p. 174-187) - 1/3/2022

10.1016/j.inffus.2021.09.012 Ver en origen

  • ISSN 15662535

Deep-Sync: A novel deep learning-based tool for semantic-aware subtitling synchronisation

  • Martín A
  • González-Carrasco I
  • Rodriguez-Fernandez V
  • Souto-Rico M
  • Camacho D
  • Ruiz-Mezcua B

Neural Computing & Applications - 1/1/2021

10.1007/s00521-021-05751-y Ver en origen

  • ISSN 14333058

Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm

  • Martín A., Vargas V.M., Gutiérrez P.A., Camacho D., Hervás-Martínez C.

Applied Soft Computing - 1/5/2020

10.1016/j.asoc.2020.106144 Ver en origen

  • ISSN 15684946

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

CANDYMAN: Classifying Android malware families by modelling dynamic traces with Markov chains

  • Martín A., Rodríguez-Fernández V., Camacho D.

Engineering Applications Of Artificial Intelligence (p. 121-133) - 1/9/2018

10.1016/j.engappai.2018.06.006 Ver en origen

  • ISSN 09521976

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
Open Access

Picking on the family: Disrupting android malware triage by forcing misclassification

  • Calleja A
  • Martin A
  • Menéndez H
  • Tapiador J
  • Clark D

Expert Systems With Applications (p. 113-126) - 1/4/2018

10.1016/j.eswa.2017.11.032 Ver en origen

  • EISSN 1873-6793
  • ISSN 09574174

An in-depth study of the Jisut family of Android ransomware

  • Martin A., Hernandez-Castro J., Camacho D.

Ieee Access (p. 57205-57218) - 1/1/2018

10.1109/access.2018.2873583 Ver en origen

  • ISSN 21693536

Este/a investigador/a no tiene libros.

Evolving the Architecture and Hyperparameters of DNNs for Malware Detection

  • Martín A., Camacho D.

Natural Computing Series (p. 357-377) - 1/1/2020

10.1007/978-981-15-3685-4_13 Ver en origen

  • ISSN 16197127

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

Evolving Deep Neural Networks architectures for Android malware classification

  • Martin A., Fuentes-Hurtado F., Naranjo V., Camacho D.

2017 Ieee Congress On Evolutionary Computation, Cec 2017 - Proceedings (p. 1659-1666) - 5/7/2017

10.1109/cec.2017.7969501 Ver en origen

ADROIT: Android malware detection using meta-information

  • Martin A., Calleja A., Menendez H., Tapiador J., Camacho D.

2016 Ieee Symposium Series On Computational Intelligence, Ssci 2016 (p. 1-8) - 9/2/2017

Editor: IEEE Computer Society.

10.1109/ssci.2016.7849904 Ver en origen

  • ISBN 978-1-5090-4241-8

String-based Malware Detection for Android Environments

  • Martin, Alejandro
  • Menendez, Hector D.
  • Camacho, David;

Studies In Computational Intelligence (p. 99-108) - 1/1/2017

10.1007/978-3-319-48829-5_10 Ver en origen

  • ISSN 1860949X

Genetic boosting classification for malware detection

  • Martín A., Menéndez H., Camacho D.

2016 Ieee Congress On Evolutionary Computation, Cec 2016 (p. 1030-1037) - 14/11/2016

10.1109/cec.2016.7743902 Ver en origen

Studying the influence of static API calls for hiding malware

  • Martín A., Menéndez H., Camacho D.

Lecture Notes In Computer Science (p. 363-372) - 1/1/2016

10.1007/978-3-319-44636-3_34 Ver en origen

  • ISSN 03029743

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: 12/05/22 12:06