2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 2 cited
OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data
Sebastian Wette, Florian Heinrichs
Time series are ubiquitous and occur naturally in a variety of applications -- from data recorded by sensors in manufacturing processes, over financial data streams to climate data…
stat.ML2024
GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysis
Florian Heinrichs
Data analysis often requires methods that are invariant with respect to specific transformations, such as rotations in case of images or shifts in case of images and time series. W…
cs.LG2023★ 1 cited
Monitoring Machine Learning Models: Online Detection of Relevant Deviations
Florian Heinrichs
Machine learning models are essential tools in various domains, but their performance can degrade over time due to changes in data distribution or other factors. On one hand, detec…