4.5k citations · 5.2k across the 18 of their papers we have counts for
4 papers · 1 filter
Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images
Susanne Kimeswenger, Elisabeth Rumetshofer, Markus Hofmarcher +5
Diagnosing basal cell carcinomas (BCC), one of the most common cutaneous malignancies in humans, is a task regularly performed by pathologists and dermato-pathologists. Improving h…
Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets
Frederik Kratzert, Daniel Klotz, Guy Shalev +3
Regional rainfall-runoff modeling is an old but still mostly out-standing problem in Hydrological Sciences. The problem currently is that traditional hydrological models degrade si…
Interpretable Deep Learning in Drug Discovery
Kristina Preuer, Günter Klambauer, Friedrich Rippmann +2
Without any means of interpretation, neural networks that predict molecular properties and bioactivities are merely black boxes. We will unravel these black boxes and will demonstr…
NeuralHydrology -- Interpreting LSTMs in Hydrology
Frederik Kratzert, Mathew Herrnegger, Daniel Klotz +2
Despite the huge success of Long Short-Term Memory networks, their applications in environmental sciences are scarce. We argue that one reason is the difficulty to interpret the in…