78 citations · 91 across the 13 of their papers we have counts for
3 papers · 1 filter
Detecting Adversarial Examples in Batches -- a geometrical approach
Danush Kumar Venkatesh, Peter Steinbach
Many deep learning methods have successfully solved complex tasks in computer vision and speech recognition applications. Nonetheless, the robustness of these models has been found…
Recommendations on test datasets for evaluating AI solutions in pathology
André Homeyer, Christian Geißler, Lars Ole Schwen +27
Artificial intelligence (AI) solutions that automatically extract information from digital histology images have shown great promise for improving pathological diagnosis. Prior to…
Machine Learning State-of-the-Art with Uncertainties
Peter Steinbach, Felicita Gernhardt, Mahnoor Tanveer +2
With the availability of data, hardware, software ecosystem and relevant skill sets, the machine learning community is undergoing a rapid development with new architectures and app…