Search Results for author: Peter Kieseberg

Found 4 papers, 1 papers with code

$k$-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers

1 code implementation9 Feb 2021 Djordje Slijepčević, Maximilian Henzl, Lukas Daniel Klausner, Tobias Dam, Peter Kieseberg, Matthias Zeppelzauer

For use with anonymisation techniques, the $k$-anonymity criterion is one of the most popular, with numerous scientific publications on different algorithms and metrics.

BIG-bench Machine Learning

The Need for Speed of AI Applications: Performance Comparison of Native vs. Browser-based Algorithm Implementations

no code implementations11 Feb 2018 Bernd Malle, Nicola Giuliani, Peter Kieseberg, Andreas Holzinger

AI applications pose increasing demands on performance, so it is not surprising that the era of client-side distributed software is becoming important.

Computational Efficiency

Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology

no code implementations18 Dec 2017 Andreas Holzinger, Bernd Malle, Peter Kieseberg, Peter M. Roth, Heimo Müller, Robert Reihs, Kurt Zatloukal

The foundation of such an "augmented pathologist" needs an integrated approach: While machine learning algorithms require many thousands of training examples, a human expert is often confronted with only a few data points.

BIG-bench Machine Learning

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