2 citations · 4 across the 4 of their papers we have counts for
5 papers
Mathematical Foundations of Modeling ETL Process Chains
Levin Maier, Lucas Schulze, Robert Lilow +10
Extract-Transform-Load (ETL) processes are core components of modern data processing infrastructures. The throughput of processed data records can be adjusted by changing the amoun…
On the Robustness of Active Learning
Lukas Hahn, Lutz Roese-Koerner, Peet Cremer +3
Active Learning is concerned with the question of how to identify the most useful samples for a Machine Learning algorithm to be trained with. When applied correctly, it can be a v…
Fast Object Classification and Meaningful Data Representation of Segmented Lidar Instances
Lukas Hahn, Frederik Hasecke, Anton Kummert
Object detection algorithms for Lidar data have seen numerous publications in recent years, reporting good results on dataset benchmarks oriented towards automotive requirements. N…
FLIC: Fast Lidar Image Clustering
Frederik Hasecke, Lukas Hahn, Anton Kummert
Lidar sensors are widely used in various applications, ranging from scientific fields over industrial use to integration in consumer products. With an ever growing number of differ…
Fast and Reliable Architecture Selection for Convolutional Neural Networks
Lukas Hahn, Lutz Roese-Koerner, Klaus Friedrichs +1
The performance of a Convolutional Neural Network (CNN) depends on its hyperparameters, like the number of layers, kernel sizes, or the learning rate for example. Especially in sma…