3 citations · 4 across the 3 of their papers we have counts for
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cs.LG2021★ 1 cited
Combining expert knowledge and neural networks to model environmental stresses in agriculture
Kostadin Cvejoski, Jannis Schuecker, Anne-Katrin Mahlein +1
In this work we combine representation learning capabilities of neural network with agricultural knowledge from experts to model environmental heat and drought stresses. We first d…
cs.LG2020
Making deep neural networks right for the right scientific reasons by interacting with their explanations
Patrick Schramowski, Wolfgang Stammer, Stefano Teso +5
Deep neural networks have shown excellent performances in many real-world applications. Unfortunately, they may show "Clever Hans"-like behavior -- making use of confounding factor…