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

51 citations

5 papers

eess.IV2025★ 3 cited

Intraoperative perfusion assessment by continuous, low-latency hyperspectral light-field imaging: development, methodology, and clinical application

Stefan Kray, Andreas Schmid, Eric L. Wisotzky +6

Accurate assessment of tissue perfusion is crucial in visceral surgery, especially during anastomosis. Currently, subjective visual judgment is commonly employed in clinical settin…

econ.TH2022★ 14 cited

The cost of strategy-proofness in school choice

Josue Ortega, Thilo Klein

We compare the outcomes of the most prominent strategy-proof and stable algorithm (Deferred Acceptance, DA) and the most prominent strategy-proof and Pareto optimal algorithm (Top…

econ.GN2020★ 2 cited

School choice with independent versus consolidated districts

Thilo Klein, Robert Aue, Josue Ortega

This paper studies the welfare effects of school district consolidation. Using incomplete rank-ordered lists (ROLs) submitted for admission to the Hungarian secondary school system…

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…