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Found 5 papers, 1 papers with code
A One-Class Classifier for the Detection of GAN Manipulated Multi-Spectral Satellite Images
For this reason, several detectors have been developed providing excellent performance in computer vision applications, however, they can not be applied as they are to multispectral satellite images, and hence new models must be trained.
Multimodal and multicontrast image fusion via deep generative models
As proof of concept, we test our architecture on the well characterized Human Connectome Project database demonstrating that our latent embeddings can be clustered into easily separable subject strata which, in turn, map to different phenotypical information which was not included in the embedding creation process.
A Multi-Modal Machine Learning Approach to Detect Extreme Rainfall Events in Sicily
In 2021 300 mm of rain, nearly half the average annual rainfall, fell near Catania (Sicily island, Italy).
Which country is this picture from? New data and methods for DNN-based country recognition
Notably, we found that asking the network to identify the country provides better results than estimating the geo-coordinates and then tracing them back to the country where the picture was taken.
Modular multi-source prediction of drug side-effects with DruGNN
Drug Side-Effects (DSEs) have a high impact on public health, care system costs, and drug discovery processes.
