Igor Santos

Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions

Machine learning in cybersecurity: A review

Robust Malware Detection for Internet of (Battlefield) Things Devices Using Deep Eigenspace Learning

Industrial Internet-of-Things Security Enhanced With Deep Learning Approaches for Smart Cities

Zero-day malware detection using transferred generative adversarial networks based on deep autoencoders

Large Iterative Multitier Ensemble Classifiers for Security of Big Data

Characterizing malicious Android apps by mining topic-specific data flow signatures

Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey

A survey on ensemble learning

Machine learning-based approach: global trends, research directions, and regulatory standpoints

Bidirectional LSTM with attention mechanism and convolutional layer for text classification

Hydrogen consumption prediction of a fuel cell based system with a hybrid intelligent approach

A review on the attention mechanism of deep learning

Hydrogen in energy transition: A review

UTILIZACIÓN DE ALGORITMOS DE META-CLASIFICACIÓN PARA LA MEJORA DE LOS MODELOS PREDICTIVOS DE CONTROL

Text normalization and semantic indexing to enhance Instant Messaging and SMS spam filtering

Opcode sequences as representation of executables for data-mining-based unknown malware detection