Patrick Schratz

Orcid: 0000-0003-0748-6624

According to our database1, Patrick Schratz authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in <i>R</i>.
J. Stat. Softw., 2024

2022
Benchmarking environmental machine-learning models: methodological progress and an application to forest health.
PhD thesis, 2022

2021
Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine-Learning Techniques?
Remote. Sens., 2021

Mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R.
CoRR, 2021

2020
Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?
Dataset, January, 2020

Predicting Forest Cover in Distinct Ecosystems: The Potential of Multi-Source Sentinel-1 and -2 Data Fusion.
Remote. Sens., 2020

2019
mlr3: A modern object-oriented machine learning framework in R.
Dataset, December, 2019





mlr3: A modern object-oriented machine learning framework in R.
J. Open Source Softw., 2019

2018
Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data.
CoRR, 2018

2017
RQGIS: Integrating R with QGIS for Statistical Geocomputing.
R J., 2017


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