Tag 'research'


Unsupervised Deep learning

Deep learning is a branch of machine learning dedicated to algorithms which find abstractions or partial representations of data through multiple layers of neurons or other complex structures. Unsupervised Deep Learning studies neural architectures which learn from data without requiring labels. Published works: * A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines. D. Charte,…


Multilabel classification

Multilabel classification is a variant of the classification problem where each instance can be associated with a subset of labels from the set of available ones. Published works: * Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository. F. Charte, A. Rivera, D. Charte, M J. del Jesus, F. Herrera. (Neurocomputing, 2018)…