Martin Garcia, Alejandro alejandro.martin@uam.es

Publications

Disinformation and vaccines on social networks: Behavior of hoaxes on Twitter

  • Noguera-Vivo JM
  • Del Mar Grandío-Pérez M
  • Villar-Rodríguez G
  • Martín A
  • Camacho D

Revista Latina De Comunicacion Social (p. 44-62) - 1/1/2023

10.4185/rlcs-2023-1820 View at source

  • ISSN 11385820

Fusing CNNs and statistical indicators to improve image classification

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

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

10.1016/j.inffus.2021.09.012 View at source

  • ISSN 15662535
Open Access

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

  • Martin, Alejandro
  • Gonzalez-Carrasco, Israel
  • Rodriguez-Fernandez, Victor
  • Souto-Rico, Monica
  • Camacho, David
  • Ruiz-Mezcua, Belen;

Neural Computing & Applications (p. 1-15) - 1/1/2021

10.1007/s00521-021-05751-y View at source

  • EISSN 1433-3058
  • ISSN 0941-0643

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 View at source

  • 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 View at source

  • 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 View at source

  • 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 View at source

  • ISSN 07437315

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 View at source

  • ISSN 21693536

This researcher has no books.

Evolving the Architecture and Hyperparameters of DNNs for Malware Detection

  • Alejandro Martín
  • David Camacho

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

10.1007/978-981-15-3685-4_13 View at source

  • ISSN 16197127

Evolving Deep Neural Networks architectures for Android malware classification

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

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

10.1109/cec.2017.7969501 View at source

ADROIT: Android malware detection using meta-information

  • Alejandro Martín
  • Alejandro Calleja
  • Héctor D Menéndez
  • Juan Tapiador
  • David Camacho

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

Editor: IEEE Computer Society.

10.1109/ssci.2016.7849904 View at source

  • ISBN 978-1-5090-4241-8

String-based Malware Detection for Android Environments

  • Alejandro Martín
  • Héctor D Menéndez
  • David Camacho

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

10.1007/978-3-319-48829-5_10 View at source

  • ISSN 1860949X

Genetic boosting classification for malware detection

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

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

10.1109/cec.2016.7743902 View at source

Studying the influence of static API calls for hiding malware

  • Alejandro Martín
  • Héctor D Menéndez
  • David Camacho

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

10.1007/978-3-319-44636-3_34 View at source

  • ISSN 03029743

This researcher has no working papers.

This researcher has no technical reports.

This researcher has no research projects.

This researcher has no supervised thesis.

This researcher has no patents or software licenses.

Last data update: 3/5/24 1:55 PM