364 citations · 1.8k across the 27 of their papers we have counts for
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cs.LG2023★ 1 cited
An evaluation of deep learning models for predicting water depth evolution in urban floods
Stefania Russo, Nathanaël Perraudin, Steven Stalder +4
In this technical report we compare different deep learning models for prediction of water depth rasters at high spatial resolution. Efficient, accurate, and fast methods for water…
q-bio.GN2023
Optirank: classification for RNA-Seq data with optimal ranking reference genes
Paola Malsot, Filipe Martins, Didier Trono +1
Classification algorithms using RNA-Sequencing (RNA-Seq) data as input are used in a variety of biological applications. By nature, RNA-Seq data is subject to uncontrolled fluctuat…