Score Calibration
Score Calibration is a probabilistic method that adjusts raw model output scores to reflect true likelihoods of predicted events, ensuring that the confidence of predictions aligns with their empirical accuracy.
46
Publications
2.2K
Citations
188
Authors
64
Institutions
Publications per year
2017–2026
18
Parents
46
Calibration of FISK, an Invasiveness Screening Tool for Nonnative Freshwater Fishes
Gordon H. Copp, Lorenzo Vilizzi, John Mumford et al. · Risk Analysis · 2008 · 207 citations
Life Sciences, Ecology, Zoology +15
Duration mismatch compensation for i-vector based speaker recognition systems
Taufiq Hasan, Rahim Saeidi, John H. L. Hansen et al. · 2013 · 122 citations
UTD-CRSS Systems for 2018 NIST Speaker Recognition Evaluation
Chunlei Zhang, Fahimeh Bahmaninezhad, Shivesh Ranjan et al. · 2019 · 82 citations
1–5 of 46
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Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, France
2 publications · 28 citations
2
h-index
1–5 of 188
64
The University of Texas at Dallas
Richardson, United States
4 h-index
12 publications
800 citations

Radboud University Nijmegen
Nijmegen, The Netherlands
3 h-index
7 publications
352 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
9 publications
427 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
5 publications
74 citations

Radboud University Medical Center
Nijmegen, The Netherlands
2 h-index
5 publications
108 citations
Centre de Gestion Scientifique
Paris, France
2 h-index
5 publications
74 citations

Sapienza University of Rome
Rome, Italy
2 h-index
10 publications
136 citations
Fudan University
Shanghai, China
1 h-index
9 publications
135 citations
1–8 of 64
2 publications · 83 citations
2
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TASLP · 2 publications · 32 citations
2
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Repository · 2 publications · 33 citations
2
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1 publications · 49 citations
1
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JPR · 1 publications · 31 citations
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