PDF) Detecting careless responding in survey data using stochastic gradient boosting
Experiment results of two groups: (a) e = 500 (Group A), (b) e = 800
PDF) Classification Performance of Thresholding Methods in the Mahalanobis–Taguchi System
The segments of clusters: (a) representative segments of clusters from
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Processing of metadata creation and join.
An example of parametric diagnostics.
Maps illustrating suitability levels of SDMs for the species
Balanced Accuracy Across Detection Mechanisms. Maha. = Mahalanobis
High-level Fusion Coupled with Mahalanobis Distance Weighted (MDW) Method for Multivariate Calibration
Choosing the right cut-off. Median number (with 2.5th and 97.5th
Publications – Computer Vision Group Jena
Robust Computer Vision in an Ever-Changing World: A Survey of Techniques for Tackling Distribution Shifts
Architecture of the data cleaning system.