Patrick Schratz

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 6

Top Topics

Machine Learning

Source Selection

Top Venues

J. Open Source Softw.

Publications

Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa, José Cortés, Bernd Bischl, Alexander Brenning
Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine-Learning Techniques? Remote. Sens. 13 (23) (2021)
Patrick Schratz, Marc Becker, Michel Lang, Alexander Brenning
Mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R. CoRR (2021)
Kai Heckel, Marcel Urban, Patrick Schratz, Miguel D. Mahecha, Christiane Schmullius
Predicting Forest Cover in Distinct Ecosystems: The Potential of Multi-Source Sentinel-1 and -2 Data Fusion. Remote. Sens. 12 (2) (2020)
Michel Lang, Martin Binder, Jakob Richter, Patrick Schratz, Florian Pfisterer, Stefan Coors, Quay Au, Giuseppe Casalicchio, Lars Kotthoff, Bernd Bischl
mlr3: A modern object-oriented machine learning framework in R. J. Open Source Softw. 4 (44) (2019)
Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa, Jakob Richter, Alexander Brenning
Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data. CoRR (2018)
Jannes Muenchow, Patrick Schratz, Alexander Brenning
RQGIS: Integrating R with QGIS for Statistical Geocomputing. R J. 9 (2) (2017)