Patrick Schratz

According to our database, Patrick Schratz authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in <i>R</i>.

Patrick Schratz, Marc Becker, Michel Lang, Alexander Brenning

J. Stat. Softw., 2024

2022

Benchmarking environmental machine-learning models: methodological progress and an application to forest health.

Patrick Schratz

PhD thesis, 2022

2021

Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine-Learning Techniques?

Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa, José Cortés, Bernd Bischl, Alexander Brenning

Remote. Sens., 2021

Mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R.

Patrick Schratz, Marc Becker, Michel Lang, Alexander Brenning

CoRR, 2021

2020

Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?

Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa, José Cortés, Alexander Brenning, Bernd Bischl

Dataset, January, 2020

Predicting Forest Cover in Distinct Ecosystems: The Potential of Multi-Source Sentinel-1 and -2 Data Fusion.

Kai Heckel, Marcel Urban, Patrick Schratz, Miguel D. Mahecha, Christiane Schmullius

Remote. Sens., 2020

2019

mlr3: A modern object-oriented machine learning framework in R.

Michel Lang, Martin Binder, Jakob Richter, Patrick Schratz, Florian Pfisterer, Stefan Coors, Quay Au, Giuseppe Casalicchio, Lars Kotthoff, Bernd Bischl

Dataset, December, 2019

2019-feature-selection.

Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa, Alexander Brenning, Bernd Bischl

Dataset, April, 2019

2019-feature-selection.

Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa, Alexander Brenning, Bernd Bischl

Dataset, April, 2019

2019-feature-selection.

Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa, Alexander Brenning, Bernd Bischl

Dataset, April, 2019

2019-feature-selection.

Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa, Alexander Brenning, Bernd Bischl

Dataset, April, 2019

mlr3: A modern object-oriented machine learning framework in R.

Michel Lang, Martin Binder, Jakob Richter, Patrick Schratz, Florian Pfisterer, Stefan Coors, Quay Au, Giuseppe Casalicchio, Lars Kotthoff, Bernd Bischl

J. Open Source Softw., 2019

2018

Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data.

Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa, Jakob Richter, Alexander Brenning

CoRR, 2018

2017

RQGIS: Integrating R with QGIS for Statistical Geocomputing.

Jannes Muenchow, Patrick Schratz, Alexander Brenning

R J., 2017