131 citations · 131 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Grouping Shapley Value Feature Importances of Random Forests for explainable Yield Prediction
Florian Huber, Hannes Engler, Anna Kicherer +3
Explainability in yield prediction helps us fully explore the potential of machine learning models that are already able to achieve high accuracy for a variety of yield prediction…
cs.CV2020★ 131 cited
Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks
Laura Zabawa, Anna Kicherer, Lasse Klingbeil +3
The extraction of phenotypic traits is often very time and labour intensive. Especially the investigation in viticulture is restricted to an on-site analysis due to the perennial n…