The DOI matches its Crossref record; 18 of the 19 references it cites were found in a registry or an index.
Inductive Confidence Machines for Regression
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In the citing paper
“SCP offers distribution-free, model-agnostic guarantees on groundtruth coverage, assuming data exchangeability.”
From Conformal Lesion Segmentation for 3D Medical Images (2025) · cites this paper as Papadopoulos et al. 2002
In the citing paper
“Our procedure, based on inductive (or 'split') Conformal Prediction (CP) [21, 15], guarantees that at a user-chosen confidence level 1 -α , the inner mask contains at most a userspecified fraction τ of false-positive pixels.”
From Controlling False Positives in Image Segmentation via Conformal Prediction (2025) · cites this paper as [15]
In the citing paper
“Split CP [15] constructs distribution-free prediction sets with finite-sample guarantees of containing the true target at a user-specified confidence level 1 -α .”
From Controlling False Positives in Image Segmentation via Conformal Prediction (2025) · cites this paper as [15]
In the citing paper
“Importantly, CP provides marginal frequentist guarantees on the mask-level procedure , rather than on individual pixels”
From Controlling False Positives in Image Segmentation via Conformal Prediction (2025) · cites this paper as [15]
In the citing paper
“Our method builds on the standard inductive CP framework [15].”
From Controlling False Positives in Image Segmentation via Conformal Prediction (2025) · cites this paper as [15]
Citations
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Saunders, C. J., Gammerman, A., & Vovk, V. (1999) · ePrints Soton (University of Southampton) · Cited by 151
Self-citation
Research works printed but not linked: 2
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- Vovk, V., and Gammerman, A. (1999). Statistical applications of algorithmic randomness. Bulletin of the International Statistical Institute. The 52nd Session. Contributed Papers. Tome LVIII. Book 3 (pp. 469–470).
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Metadata
- Authors
- Papadopoulos, H., Proedrou, K., Vovk, V., & Gammerman, A.
- Affiliations
- Royal Holloway University of London (GB)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2002
- Pages
- 345-356
- ISSN
- 0302-9743 (ISSN-L)
- OpenAlex
- W1499689786
- Cited by
- 346
- References
- 19
- Citations by year
- 2026: 73 · 2025: 61 · 2024: 50 · 2023: 38 · 2022: 17 · 2021: 17 · 2020: 18 · 2019: 5 · 2018: 4 · 2017: 7 · 2016: 3 · 2015: 3 · 2014: 15 · 2013: 4 · 2012: 6
- FWCI
- 0.54
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Algorithms
- Physical Sciences › Computer Science › Artificial Intelligence › Gaussian Processes and Bayesian Inference
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and ELM
- Keywords
- confidence estimation, regression analysis, inductive reasoning, transductive inference, ridge regression, computational efficiency, large data sets
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