6 citations · 15 across the 5 of their papers we have counts for
5 papers
Explainability in CNN Models By Means of Z-Scores
David Malmgren-Hansen, Allan Aasbjerg Nielsen, Leif Toudal Pedersen
This paper explores the similarities of output layers in Neural Networks (NNs) with logistic regression to explain importance of inputs by Z-scores. The network analyzed, a network…
Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval
David Malmgren-Hansen, Allan Aasbjerg Nielsen, Valero Laparra +1
The Infrared Atmospheric Sounding Interferometer (IASI) on board the MetOp satellite series provides important measurements for Numerical Weather Prediction (NWP). Retrieving accur…
Spatial noise-aware temperature retrieval from infrared sounder data
David Malmgren-Hansen, Valero Laparra, Allan Aasbjerg Nielsen +1
In this paper we present a combined strategy for the retrieval of atmospheric profiles from infrared sounders. The approach considers the spatial information and a noise-dependent…
Sparse-View Spectral CT Reconstruction Using Deep Learning
Wail Mustafa, Christian Kehl, Ulrik Lund Olsen +4
Spectral computed tomography (CT) is an emerging technology capable of providing high chemical specificity, which is crucial for many applications such as detecting threats in lugg…
Analyzing Learned Convnet Features with Dirichlet Process Gaussian Mixture Models
David Malmgren-Hansen, Allan Aasbjerg Nielsen, Rasmus Engholm
Convolutional Neural Networks (Convnets) have achieved good results in a range of computer vision tasks the recent years. Though given a lot of attention, visualizing the learned r…