The DOI matches its Crossref record; 14 of the 15 references it cites were found in a registry or an index.
A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Confidence intervals for metrics derived from confusion matrices can be calculated by treating the matrices as probabilistic models of system performance [24].”
From Model Cards for Model Reporting (2019) · cites this paper as [24]
Citations
Cites
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Using statistical testing in the evaluation of retrieval experiments
Hull, D. A. (1993) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/160688.160758 · Cited by 525
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A NEW MEASURE OF RETRIEVAL EFFECTIVENESS (OR: WHAT’S WRONG WITH PRECISION AND RECALL)
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Cited by
Sorted by citations
A systematic analysis of performance measures for classification tasks
Sokolova, M., & Lapalme, G. (2009) · Information Processing & Management · doi:10.1016/j.ipm.2009.03.002 · Cited by 7,515
Saito, T., & Rehmsmeier, M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0118432 · Cited by 5,309
Model Cards for Model Reporting
Mitchell, M., Wu, S., Zaldivar, A., Barnes, P., Vasserman, L., Hutchinson, B., Spitzer, E., Raji, I. D., & Gebru, T. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency · doi:10.1145/3287560.3287596 · Cited by 2,681
“Confidence intervals for metrics derived from confusion matrices can be calculated by treating the matrices as probabilistic models of system performance [24].”
MethodSPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM
Wagner, T., Merino, F., Stabrin, M., Moriya, T., Antoni, C., Apelbaum, A., Hagel, P., Sitsel, O., Raisch, T., Prumbaum, D., et al. (2019) · Communications Biology · doi:10.1038/s42003-019-0437-z · Cited by 1,249
A New Method for Segmenting Individual Trees from the Lidar Point Cloud
Li, W., Guo, Q., Jakubowski, M. K., & Kelly, M. (2012) · Photogrammetric Engineering & Remote Sensing · doi:10.14358/pers.78.1.75 · Cited by 755
Metadata
- Authors
- Goutte, C., & Gaussier, E.
- ORCID
- Goutte, Cyril
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2005
- Pages
- 345-359
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1584308190
- Cited by
- 2,285
- References
- 15
- Citations by year
- 2026: 106 · 2025: 269 · 2024: 356 · 2023: 325 · 2022: 279 · 2021: 253 · 2020: 219 · 2019: 151 · 2018: 68 · 2017: 56 · 2016: 41 · 2015: 46 · 2014: 32 · 2013: 23 · 2012: 21
- FWCI
- 3.33
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Imbalanced Data Classification Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Data Classification
- Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
- Keywords
- precision, memory retrieval, F-score, posterior distribution, comparison of classification methods, information retrieval evaluation, uncertainty quantification
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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