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

P. Schratz, J. Muenchow, E. Iturritxa, J. Cortés, B. Bischl, and A. Brenning. Remote. Sens., 13 (23): 4832 (2021)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Bernd Bischl

Katrin Bischl

René Berndt

Einfluss eines diabaten Turboladermodells auf die Gesamtprozess-Simulation abgasturboaufgeladener PKW-DieselmotorenR. Berndt. TU Berlin, (2009)

Helga Berndt

Heinz Berndt

Other publications of authors with the same name

Structured Verification of Machine Learning Models in Industrial Settings.S. Kaminwar, J. Goschenhofer, J. Thomas, I. Thon, and B. Bischl. Big Data, 11 (3): 181-198 (June 2023)An Open Source AutoML Benchmark.P. Gijsbers, E. LeDell, J. Thomas, S. Poirier, B. Bischl, and J. Vanschoren. CoRR, (2019)Improved Outcome Prediction Across Data Sources Through Robust Parameter Tuning.N. Ellenbach, A. Boulesteix, B. Bischl, K. Unger, and R. Hornung. J. Classif., 38 (2): 212-231 (2021)Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine-Learning Techniques?P. Schratz, J. Muenchow, E. Iturritxa, J. Cortés, B. Bischl, and A. Brenning. Remote. Sens., 13 (23): 4832 (2021)Benchmarking local classification methods.B. Bischl, J. Schiffner, and C. Weihs. Comput. Stat., 28 (6): 2599-2619 (2013)Wearable-Based Parkinson's Disease Severity Monitoring Using Deep Learning.J. Goschenhofer, F. Pfister, K. Yuksel, B. Bischl, U. Fietzek, and J. Thomas. ECML/PKDD (3), volume 11908 of Lecture Notes in Computer Science, page 400-415. Springer, (2019)Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation.T. Weber, M. Ingrisch, B. Bischl, and D. Rügamer. CoRR, (2021)Time series anomaly detection based on shapelet learning.L. Beggel, B. Kausler, M. Schiegg, M. Pfeiffer, and B. Bischl. Comput. Stat., 34 (3): 945-976 (2019)Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process.C. Molnar, T. Freiesleben, G. König, G. Casalicchio, M. Wright, and B. Bischl. CoRR, (2021)Decomposing Global Feature Effects Based on Feature Interactions.J. Herbinger, B. Bischl, and G. Casalicchio. CoRR, (2023)

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Disambiguation of "Bischl, Bernd"

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

Please choose a person to relate this publication to

Bernd Bischl

Katrin Bischl

René Berndt

Helga Berndt

Heinz Berndt

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bischl, Bernd"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine-Learning Techniques?

Please choose a person to relate this publication to

Bernd Bischl

Katrin Bischl

René Berndt

Helga Berndt

Heinz Berndt

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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