Balanced Accuracy Across Detection Mechanisms. Maha. = Mahalanobis

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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.

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