research
∙
05/22/2023
A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics
In many contexts, customized and weighted classification scores are desi...
share
research
∙
09/12/2022
Operational solar flare forecasting via video-based deep learning
Operational flare forecasting aims at providing predictions that can be ...
research
∙
10/24/2021
Implementation paradigm for supervised flare forecasting studies: a deep learning application with video data
Solar flare forecasting can be realized by means of the analysis of magn...
research
∙
03/29/2021
Score-oriented loss (SOL) functions
Loss functions engineering and the assessment of forecasting performance...
research
∙
03/10/2021
Oversampling errors in multimodal medical imaging are due to the Gibbs effect
To analyse multimodal 3-dimensional medical images, interpolation is req...
research
∙
07/05/2020
Machine learning as a flaring storm warning machine: Was a warning machine for the September 2017 solar flaring storm possible?
Machine learning is nowadays the methodology of choice for flare forecas...
research
∙
06/19/2019
Automated Definition of Skeletal Disease Burden in Metastatic Prostate Carcinoma: a 3D analysis of SPECT/CT images
To meet the current need for skeletal tumor-load estimation in prostate ...
research
∙
04/04/2019
