24 citations · 26 across the 3 of their papers we have counts for
4 papers
Quantifying Uncertainty in Error Consistency: Towards Reliable Behavioral Comparison of Classifiers
Thomas Klein, Sascha Meyen, Wieland Brendel +2
Benchmarking models is a key factor for the rapid progress in machine learning (ML) research. Thus, further progress depends on improving benchmarking metrics. A standard metric to…
Specialists Outperform Generalists in Ensemble Classification
Sascha Meyen, Frieder Göppert, Helen Alber +2
Consider an ensemble of individual classifiers whose accuracies are known. Upon receiving a test point, each of the classifiers outputs a predicted label and a confidence in it…
Group Decisions based on Confidence Weighted Majority Voting
Sascha Meyen, Dorothee M. B. Sigg, Ulrike von Luxburg +1
Background: It has repeatedly been reported that when making decisions under uncertainty, groups outperform individuals. In a lab setting, real groups are often replaced by simulat…
Advancing Research on Unconscious Priming: When can Scientists Claim an Indirect Task Advantage?
Sascha Meyen, Iris A. Zerweck, Catarina Amado +2
Current literature holds that many cognitive functions can be performed outside consciousness. Evidence for this view comes from unconscious priming. In a typical experiment, visua…