Resource-constrained neural models for time series classification and extrinsic re...
Meta-learning and Bayesian Networks to Construct Classifier Ensembles for Gene-Exp...
Deep learning for hierarchical classification of transposable elements
Classification techniques in cardiac diagnosis based on motion quantification of n...
Learning image transformations via classification of micro-regions
Tensor networks and deep learning for large scale machine learning and signal proc...