12 citations · 18 across the 3 of their papers we have counts for
3 papers
Variational Autoencoder Kernel Interpretation and Selection for Classification
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias +1
This work proposed kernel selection approaches for probabilistic classifiers based on features produced by the convolutional encoder of a variational autoencoder. Particularly, the…
ProBoost: a Boosting Method for Probabilistic Classifiers
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias +2
ProBoost, a new boosting algorithm for probabilistic classifiers, is proposed in this work. This algorithm uses the epistemic uncertainty of each training sample to determine the m…
Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEG
Fábio Mendonça, Sheikh Shanawaz Mostafa, Diogo Freitas +2
Biomedical decision making involves multiple signal processing, either from different sensors or from different channels. In both cases, information fusion plays a significant role…