92 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Ludwig-Maximilians-Universität MünchenDE9 papers
- Darmstadt University of Applied SciencesDE6 papers
- Munich Center for Machine Learning6 papers
- LMU KlinikumDE3 papers
- University College LondonGB3 papers
- Zimmer Biomet (Netherlands)NL3 papers
- Fraunhofer Institute for Computer Graphics ResearchDE2 papers
- Joint Research CentreNL2 papers
- Medical University of ViennaAT2 papers
- MRC Clinical Trials Unit at UCLGB2 papers
- Ruhr University BochumDE2 papers
- Technical University of MunichDE2 papers
6 papers · 1 filter
Multi forests: Variable importance for multi-class outcomes
Roman Hornung, Alexander Hapfelmeier
In prediction tasks with multi-class outcomes, identifying covariates specifically associated with one or more outcome classes can be important. Conventional variable importance me…
Few-Shot Learning: Expanding ID Cards Presentation Attack Detection to Unknown ID Countries
Alvaro S. Rocamora, Juan M. Espin, Juan E. Tapia
This paper proposes a Few-shot Learning (FSL) approach for detecting Presentation Attacks on ID Cards deployed in a remote verification system and its extension to new countries. O…
First Competition on Presentation Attack Detection on ID Card
Juan E. Tapia, Naser Damer, Christoph Busch +12
This paper summarises the Competition on Presentation Attack Detection on ID Cards (PAD-IDCard) held at the 2024 International Joint Conference on Biometrics (IJCB2024). The compet…
Rethinking the handling of method failure in comparison studies
Milena Wünsch, Moritz Herrmann, Elisa Noltenius +3
Comparison studies in methodological research are intended to compare methods in an evidence-based manner to help data analysts select a suitable method for their application. To p…
To tweak or not to tweak. How exploiting flexibilities in gene set analysis leads to over-optimism
Milena Wünsch, Christina Sauer, Moritz Herrmann +2
Gene set analysis, a popular approach for analysing high-throughput gene expression data, aims to identify sets of genes that show enriched expression patterns between two conditio…
Reversing the Irreversible: A Survey on Inverse Biometrics
Marta Gomez-Barrero, Javier Galbally
With the widespread use of biometric recognition, several issues related to the privacy and security provided by this technology have been recently raised and analysed. As a result…