output
20192025
most citedOn Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors

51 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.LG2020★ 51 cited

On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors

Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun +3

Deep learning based medical image classifiers have shown remarkable prowess in various application areas like ophthalmology, dermatology, pathology, and radiology. However, the acc…

cs.LG2019★ 5 cited

Artificial intelligence-based process for metal scrap sorting

Maximilian Auer, Kai Osswald, Raphael Volz +1

Machine learning offers remarkable benefits for improving workplaces and working conditions amongst others in the recycling industry. Here e.g. hand-sorting of medium value scrap i…