Multiple Regression Ensembles
Multiple Regression Ensembles is a machine learning framework that combines the predictions of multiple regression models through ensemble techniques to improve overall predictive accuracy and robustness in regression tasks.
32
Publications
1.5K
Citations
103
Authors
54
Institutions
Publications per year
2017–2026
17
Parents
32
Miriam Machwitz, Christopher Conrad, Stefan Dech · Remote Sensing of Environment · 2012 · 124 citations · Full text
Riyad Ismail, Onisimo Mutanga · International Journal of Applied Earth Observation and Geoinformation · 2009 · 118 citations
Natural Resources, Ecology, Forestry +13
Multi-target regression with rule ensembles
Timo Aho, Bernard Ženko, Sašo Džeroski et al. · Journal of Machine Learning Research · 2012 · 85 citations
1–5 of 32
103
2
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2 publications · 108 citations
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2
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Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany
2 publications · 67 citations
2
h-index
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany
2 publications · 67 citations
2
h-index
1–5 of 103
54
Jožef Stefan Institute
Ljubljana, Slovenia
3 h-index
7 publications
396 citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
3 h-index
9 publications
392 citations
Jožef Stefan International Postgraduate School
Ljubljana, Slovenia
2 h-index
5 publications
350 citations
University of Córdoba
Córdoba, Spain
2 h-index
6 publications
135 citations

King Saud University
Riyadh, Saudi Arabia
1 h-index
2 publications
82 citations
Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier
Montpellier, France
1 h-index
4 publications
68 citations

Izmir Institute of Technology
Izmir, Türkiye
1 h-index
1 publications
78 citations
University of Mosul
Mosul, Iraq
1 h-index
1 publications
52 citations
1–8 of 54
JAG · 2 publications · 141 citations
2
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2 publications · 96 citations
2
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Repository · 2 publications · 206 citations
2
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1 publications · 15 citations
1
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1 publications · 41 citations
1
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