Alejandro Martín
Alejandro Martín
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Android malware detection through hybrid features fusion and ensemble classifiers: The AndroPyTool framework and the OmniDroid dataset
A Martín, R Lara-Cabrera, D Camacho
Information Fusion 52, 128-142, 2019
EvoDeep: a new Evolutionary approach for automatic Deep Neural Networks parametrisation
A Martín, R Lara-Cabrera, F Fuentes-Hurtado, V Naranjo, D Camacho
Journal of Parallel and Distributed Computing, 2018
MOCDroid: multi-objective evolutionary classifier for Android malware detection
A Martín, HD Menéndez, D Camacho
Soft Computing 21 (24), 7405-7415, 2016
CANDYMAN: Classifying Android malware families by modelling dynamic traces with Markov chains
A Martín, V Rodríguez-Fernández, D Camacho
Engineering Applications of Artificial Intelligence 74, 121-133, 2018
Picking on the family: Disrupting android malware triage by forcing misclassification
A Calleja, A Martín, HD Menéndez, J Tapiador, D Clark
Expert Systems with Applications 95, 113-126, 2018
Evolving deep neural networks architectures for android malware classification
A Martín, F Fuentes-Hurtado, V Naranjo, D Camacho
2017 IEEE Congress on Evolutionary Computation (CEC), 1659-1666, 2017
ADROIT: Android malware detection using meta-information
A Martín, A Calleja, HD Menéndez, J Tapiador, D Camacho
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016
Optimising convolutional neural networks using a hybrid statistically-driven coral reef optimisation algorithm
A Martin, VM Vargas, PA Gutiérrez, D Camacho, C Hervás-Martínez
Applied Soft Computing 90, 106144, 2020
A new tool for static and dynamic Android malware analysis
A Martín, R Lara-Cabrera, D Camacho
Data Science and Knowledge Engineering for Sensing Decision Support …, 2018
String-based malware detection for android environments
A Martín, HD Menéndez, D Camacho
Intelligent Distributed Computing X: Proceedings of the 10th International …, 2017
Fusing CNNs and statistical indicators to improve image classification
J Huertas-Tato, A Martín, J Fierrez, D Camacho
Information Fusion 79, 174-187, 2022
Genetic boosting classification for malware detection
A Martin, HD Menéndez, D Camacho
2016 IEEE Congress on Evolutionary Computation (CEC), 1030-1037, 2016
A Framework for User Adaptation and Profiling for Social Robotics in Rehabilitation
A Martín, JC Pulido, JC González, Á García-Olaya, C Suárez
Sensors 20 (17), 4792, 2020
An in-depth study of the jisut family of android ransomware
A Martín, J Hernandez-Castro, D Camacho
IEEE Access 6, 57205-57218, 2018
Countering misinformation through semantic-aware multilingual models
Á Huertas-García, J Huertas-Tato, A Martín, D Camacho
Intelligent Data Engineering and Automated Learning–IDEAL 2021: 22nd …, 2021
FacTeR-Check: Semi-automated fact-checking through semantic similarity and natural language inference
A Martín, J Huertas-Tato, Á Huertas-García, G Villar-Rodríguez, ...
Knowledge-Based Systems 251, 109265, 2022
SILT: Efficient transformer training for inter-lingual inference
J Huertas-Tato, A Martín, D Camacho
Expert Systems with Applications 200, 116923, 2022
Therapy monitoring and patient evaluation with social robots
A Martín, JC González, JC Pulido, Á García-Olaya, F Fernández, ...
Proceedings of the 3rd 2015 Workshop on ICTs for Improving Patients …, 2015
Deep-Sync: A novel deep learning-based tool for semantic-aware subtitling synchronisation
A Martín, I González-Carrasco, V Rodriguez-Fernandez, M Souto-Rico, ...
Neural Computing and Applications, 1-15, 2021
Profiling Hate Speech Spreaders on Twitter: Transformers and mixed pooling.
Á Huertas-García, J Huertas-Tato, A Martín, D Camacho
CLEF (Working Notes) 2021, 2021
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
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