Beatriz Prieto

Deepfake detection using deep learning methods: A systematic and comprehensive review

A Machine Learning Approach to Detect Router Advertisement Flooding Attacks in Next-Generation IPv6 Networks

Convex Optimization in Signal Processing and Communications

Intelligent compilation of patent summaries using machine learning and natural language processing techniques

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

A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives

Deep Learning Approach Combining Sparse Autoencoder With SVM for Network Intrusion Detection

Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm

Control allocation—A survey

Semidefinite Relaxation of Quadratic Optimization Problems

PROMETHEE: A comprehensive literature review on methodologies and applications

A Survey on the Development of Self-Organizing Maps for Unsupervised Intrusion Detection

Preference disaggregation and statistical learning for multicriteria decision support: A review

Recommendation system based on deep learning methods: a systematic review and new directions

Weak and strong convergence analysis of Elman neural networks via weight decay regularization

Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition

Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems

PCA filtering and probabilistic SOM for network intrusion detection

Neural networks: An overview of early research, current frameworks and new challenges

A neural learning algorithm for blind separation of sources based on geometric properties