49 citations · 64 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 49 cited
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben, Stephanie Abrecht, Maram Akila +38
The use of deep neural networks (DNNs) in safety-critical applications like mobile health and autonomous driving is challenging due to numerous model-inherent shortcomings. These s…
cs.CV2019★ 15 cited
The Random Forest Classifier in WEKA: Discussion and New Developments for Imbalanced Data
Mario Amrehn, Firas Mualla, Elli Angelopoulou +2
Data analysis and machine learning have become an integrative part of the modern scientific methodology, providing automated techniques to predict further information based on obse…