Prediction Benchmarking
Prediction Benchmarking is a standardized evaluation framework within the domain of traffic participant prediction that systematically assesses and compares the performance of different models or methods against a common set of metrics, datasets, and tasks to determine their relative effectiveness in forecasting future states of dynamic road agents.
33
Publications
2.8K
Citations
157
Authors
66
Institutions
Publications per year
2017–2026
21
33
QMEANDisCo—distance constraints applied on model quality estimation
Gabriel Studer, Christine Rempfer, Andrew Waterhouse et al. · Bioinformatics · 2019 · 1K citations · Full text
buds-lab/building-data-genome-project-2: v1.0
Clayton Miller, Anjukan Kathirgamanathan, Bianca Picchetti et al. · Singapore Management University Institutional Knowledge (InK) (Singapore Management University) · 2020 · 167 citations · Full text
Architecture, Architectural Engineering, Building Science +17
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66

Delft University of Technology
Delft, The Netherlands
3 h-index
8 publications
260 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
3 h-index
8 publications
732 citations
Tsinghua University
Beijing, China
2 h-index
8 publications
1.2K citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
2 publications
157 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
9 publications
1.2K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
1 h-index
1 publications
98 citations

University of Amsterdam
Amsterdam, The Netherlands
1 h-index
1 publications
55 citations
IBM Research - Ireland
Dublin, Ireland
1 h-index
5 publications
80 citations
1–8 of 66
Repository · 2 publications · 32 citations
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JETAI · 1 publications · 34 citations
1
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1 publications · 15 citations
1
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1 publications · 69 citations
1
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1 publications · 19 citations
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