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D. Hippe

1 paper here

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  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • stat.AP1

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most citedBoost-S: Gradient Boosted Trees for Spatial Data and Its Application to FDG-PET Imaging Data

1 citations · 1 across the 1 of their papers we have counts for

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stat.AP2021★ 1 cited

Boost-S: Gradient Boosted Trees for Spatial Data and Its Application to FDG-PET Imaging Data

Reza Iranzad, Xiao Liu, W. Art Chaovalitwongse +7

Boosting Trees are one of the most successful statistical learning approaches that involve sequentially growing an ensemble of simple regression trees (i.e., "weak learners"). Howe…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.