Alejandro Martín
Alejandro Martín
PhD in Computer Science, Assistant Professor, Universidad Politécnica de Madrid
Dirección de correo verificada de upm.es - Página principal
Título
Citado por
Citado por
Año
MOCDroid: multi-objective evolutionary classifier for Android malware detection
A Martín, HD Menéndez, D Camacho
Soft Computing 21 (24), 7405-7415, 2017
592017
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
502018
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
472019
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
372018
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
342018
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
312017
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
282016
Optimising convolutional neural networks using a hybrid statistically-driven coral reef optimisation algorithm
A Martin, VM Vargas, PA Gutiérrez, D Camacho, C Hervas-Martinez
Applied Soft Computing 90, 106144, 2020
222020
Genetic boosting classification for malware detection
A Martin, HD Menéndez, D Camacho
2016 IEEE Congress on Evolutionary Computation (CEC), 1030-1037, 2016
172016
String-based malware detection for android environments
A Martín, HD Menéndez, D Camacho
International Symposium on Intelligent and Distributed Computing, 99-108, 2016
152016
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
102015
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
92018
An in-depth study of the jisut family of android ransomware
A Martin, J Hernandez-Castro, D Camacho
IEEE Access 6, 57205-57218, 2018
72018
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
62020
Studying the influence of static api calls for hiding malware
A Martín, HD Menéndez, D Camacho
Conference of the Spanish Association for Artificial Intelligence, 363-372, 2016
62016
Cloud type identification using data fusion and ensemble learning
J Huertas-Tato, A Martín, D Camacho
International conference on intelligent data engineering and automated …, 2020
22020
Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks
A Martin, R Lara-Cabrera, VM Vargas, PA Gutiérrez, C Hervás-Martínez, ...
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
22020
Evolving the architecture and hyperparameters of DNNs for malware detection
A Martín, D Camacho
Deep Neural Evolution, 357-377, 2020
12020
SML: a new Semantic Embedding Alignment Transformer for efficient cross-lingual Natural Language Inference
J Huertas-Tato, A Martín, D Camacho
arXiv preprint arXiv:2103.09635, 2021
2021
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
2021
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20