100 citations · 390 across the 21 of their papers we have counts for
3 papers · 1 filter
Massively-Parallel Break Detection for Satellite Data
Malte von Mehren, Fabian Gieseke, Jan Verbesselt +3
The field of remote sensing is nowadays faced with huge amounts of data. While this offers a variety of exciting research opportunities, it also yields significant challenges regar…
Return of the features. Efficient feature selection and interpretation for photometric redshifts
Antonio D'Isanto, Stefano Cavuoti, Fabian Gieseke +1
The explosion of data in recent years has generated an increasing need for new analysis techniques in order to extract knowledge from massive datasets. Machine learning has proved…
Training Big Random Forests with Little Resources
Fabian Gieseke, Christian Igel
Without access to large compute clusters, building random forests on large datasets is still a challenging problem. This is, in particular, the case if fully-grown trees are desire…