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Found 3 papers, 3 papers with code
An Interpretable Adaptive Multiscale Attention Deep Neural Network for Tabular Data
Deep learning (DL) has been demonstrated to be a valuable tool for analyzing signals such as sounds and images, thanks to its capabilities of automatically extracting relevant patterns as well as its end-to-end training properties.
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath
AUCO ResNet has proved to provide state of art results on many datasets.
Ranked #1 on
COVID-19 Diagnosis
on Covid-19 Cough Cambridge
LICIC: Less Important Components for Imbalanced Multiclass Classification
Multiclass classification in cancer diagnostics, using DNA or Gene Expression Signatures, but also classification of bacteria species fingerprints in MALDI-TOF mass spectrometry data, is challenging because of imbalanced data and the high number of dimensions with respect to the number of instances.
