48 citations
- Lukas Daniel Klausner7 · h 9
- L. Klausner5 · h 4
- A. Rind4 · h 21
- B. Horsak3 · h 18
- D. Slijepčević3 · h 12
- Fabian Horst2 profiles3 · h 13
- Gabriela Viale Pereira2 profiles3 · h 2
- Lucy Temple2 profiles3 · h 4
- Manuela Waldner2 profiles3 · h 3
- Matthias Zeppelzauer2 profiles3 · h 3
- M. Zeppelzauer3 · h 26
- S. Neumaier3 · h 13
- TU WienAT8 papers
- Johannes Gutenberg University MainzDE3 papers
- Universität für Weiterbildung KremsAT3 papers
- Fraunhofer Institute for Telecommunications, Heinrich Hertz InstituteDE2 papers
- Acoustics Research InstituteAT1 paper
- Artificial Intelligence in Medicine (Canada)CA1 paper
- Austrian Academy of SciencesAT1 paper
- Bavarian BroadcastingDE1 paper
- Center for Discrete Mathematics and Theoretical Computer ScienceUS1 paper
- City University of Hong KongHK1 paper
- Computer Algorithms for MedicineAT1 paper
- Graz University of TechnologyAT1 paper
4 papers · 1 filter
Explaining machine learning models for age classification in human gait analysis
Djordje Slijepcevic, Fabian Horst, Marvin Simak +7
Machine learning (ML) models have proven effective in classifying gait analysis data, e.g., binary classification of young vs. older adults. ML models, however, lack in providing h…
Explaining automated gender classification of human gait
Fabian Horst, Djordje Slijepcevic, Matthias Zeppelzauer +6
State-of-the-art machine learning (ML) models are highly effective in classifying gait analysis data, however, they lack in providing explanations for their predictions. This "blac…
Towards Resilient Artificial Intelligence: Survey and Research Issues
Oliver Eigner, Sebastian Eresheim, Peter Kieseberg +6
Artificial intelligence (AI) systems are becoming critical components of today's IT landscapes. Their resilience against attacks and other environmental influences needs to be ensu…
Anomaly Detection Support Using Process Classification
Sebastian Eresheim, Lukas Daniel Klausner, Patrick Kochberger
Anomaly detection systems need to consider a lot of information when scanning for anomalies. One example is the context of the process in which an anomaly might occur, because anom…