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ORCIDAlexander Brenning
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2020 – today
- 2024
[c5]Alexander Brenning:
Novel Approaches to Model Assessment and Interpretation in Geospatial Machine Learning. GISTAM 2024: 7- [c4]Markus Zehner, Valentin Kasburg, Clémence Dubois, Christian Thiel, Alexander Brenning, Jussi Baade, Nina Kukowski, Christiane Schmullius:
A Transformer Approach for Multi Orbit Per Pixel Time Series Forest Characterization With Sentinel-1. IGARSS 2024: 4562-4565 - 2023
- [j15]Zhihao Wang
, Alexander Brenning:
Unsupervised active-transfer learning for automated landslide mapping. Comput. Geosci. 181: 105457 (2023) - [j14]Alexander Brenning:
Spatial machine-learning model diagnostics: a model-agnostic distance-based approach. Int. J. Geogr. Inf. Sci. 37(3): 584-606 (2023) - [j13]Alexander Brenning:
Interpreting machine-learning models in transformed feature space with an application to remote-sensing classification. Mach. Learn. 112(9): 3455-3471 (2023) - [j12]Markus Zehner, Clémence Dubois, Christian Thiel, Konstantin Schellenberg, Marius Rüetschi, Alexander Brenning, Jussi Baade, Christiane Schmullius:
Accounting for Deciduous Forest Structure and Viewing Geometry Effects Improves Sentinel-1 Time Series Image Consistency. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [i5]Alexander Brenning, Sebastian Henn:
Web scraping: a promising tool for geographic data acquisition. CoRR abs/2305.19893 (2023) - 2021
- [j11]Zhihao Wang, Alexander Brenning:
Active-Learning Approaches for Landslide Mapping Using Support Vector Machines. Remote. Sens. 13(13): 2588 (2021) - [j10]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): 4832 (2021) - [i4]Alexander Brenning:
Transforming Feature Space to Interpret Machine Learning Models. CoRR abs/2104.04295 (2021) - [i3]Patrick Schratz, Marc Becker, Michel Lang, Alexander Brenning:
Mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R. CoRR abs/2110.12674 (2021) - [i2]Alexander Brenning:
Spatial machine-learning model diagnostics: a model-agnostic distance-based approach. CoRR abs/2111.08478 (2021) - 2020
- [d5]Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa, José Cortés, Alexander Brenning, Bernd Bischl:
Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques? Zenodo, 2020
2010 – 2019
- 2019
- [j9]Raphael Knevels, Helene Petschko, Philip Leopold, Alexander Brenning:
Geographic Object-Based Image Analysis for Automated Landslide Detection Using Open Source GIS Software. ISPRS Int. J. Geo Inf. 8(12): 551 (2019) - [d4]Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa, Alexander Brenning, Bernd Bischl:
2019-feature-selection. Zenodo, 2019 - [d3]Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa, Alexander Brenning, Bernd Bischl:
2019-feature-selection. Zenodo, 2019 - [d2]Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa, Alexander Brenning, Bernd Bischl:
2019-feature-selection. Zenodo, 2019 - [d1]Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa, Alexander Brenning, Bernd Bischl:
2019-feature-selection. Zenodo, 2019 - 2018
- [i1]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 abs/1803.11266 (2018) - 2017
- [j8]Christian Geiß, Patrick Aravena Pelizari, Henrik Schrade, Alexander Brenning, Hannes Taubenböck:
On the Effect of Spatially Non-Disjoint Training and Test Samples on Estimated Model Generalization Capabilities in Supervised Classification With Spatial Features. IEEE Geosci. Remote. Sens. Lett. 14(11): 2008-2012 (2017) - [j7]Jannes Muenchow, Patrick Schratz, Alexander Brenning:
RQGIS: Integrating R with QGIS for Statistical Geocomputing. R J. 9(2): 409 (2017) - 2016
- [j6]Paul Schumacher, Bunafsha Mislimshoeva, Alexander Brenning, Harald Zandler, Martin Brandt, Cyrus Samimi, Thomas Koellner:
Do Red Edge and Texture Attributes from High-Resolution Satellite Data Improve Wood Volume Estimation in a Semi-Arid Mountainous Region? Remote. Sens. 8(7): 540 (2016) - 2015
- [j5]Jason Goetz, Alexander Brenning, Helene Petschko, Philip Leopold:
Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling. Comput. Geosci. 81: 1-11 (2015) - [j4]João Porto de Albuquerque, Benjamin Herfort, Alexander Brenning, Alexander Zipf:
A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management. Int. J. Geogr. Inf. Sci. 29(4): 667-689 (2015) - [j3]Harald Zandler, Alexander Brenning, Cyrus Samimi:
Potential of Space-Borne Hyperspectral Data for Biomass Quantification in an Arid Environment: Advantages and Limitations. Remote. Sens. 7(4): 4565-4580 (2015) - 2013
- [j2]Aiman Soliman, Richard J. Heck, Alexander Brenning, Ralph Brown, Stephen Miller:
Remote Sensing of Soil Moisture in Vineyards Using Airborne and Ground-Based Thermal Inertia Data. Remote. Sens. 5(8): 3729-3748 (2013) - 2012
- [c3]Alexander Brenning:
Spatial cross-validation and bootstrap for the assessment of prediction rules in remote sensing: The R package sperrorest. IGARSS 2012: 5372-5375 - 2011
- [j1]Werner Adler, Alexander Brenning, Sergej Potapov, Matthias Schmid, Berthold Lausen:
Ensemble classification of paired data. Comput. Stat. Data Anal. 55(5): 1933-1941 (2011) - 2010
- [c2]Georg Ruß, Alexander Brenning:
Spatial Variable Importance Assessment for Yield Prediction in Precision Agriculture. IDA 2010: 184-195 - [c1]Georg Ruß, Alexander Brenning:
Data Mining in Precision Agriculture: Management of Spatial Information. IPMU 2010: 350-359
Coauthor Index
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