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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Integrity signals
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Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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
Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Wu, Y., & Vapnik, V. N. (1999) · Technometrics · doi:10.2307/1271368 · Cited by 27,236
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Cristianini, N., & Shawe-Taylor, J. (2000) · doi:10.1017/cbo9780511801389 · Cited by 13,855
An Introduction to Kolmogorov Complexity and Its Applications
Li, M., & Vitanyi, P. M. B. (2019) · Texts in computer science · doi:10.1007/978-3-030-11298-1 · Cited by 3,769
An Introduction to Kolmogorov Complexity and Its Applications
Li, M., & Vitanyi, P. M. B. (1997) · Springer eBooks · doi:10.1007/978-1-4757-2606-0 · Cited by 1,792
Nonparametric methods in statistics.
Fraser, D. A. S. (1956) · John Wiley & Sons, Inc. eBooks · doi:10.1037/13191-000 · Cited by 413
Learning by TransductionPreprint
Gammerman, A., Vovk, V., & Vapnik, V. N. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1301.7375 · Cited by 352
Self-citationNonparametric Methods in Statistics.
Brixey, J. C., & Fraser, D. A. S. (1957) · American Mathematical Monthly · doi:10.2307/2309988 · Cited by 246
Machine-Learning Applications of Algorithmic Randomness
Vovk, V., Gammerman, A., & Saunders, C. J. (1999) · ePrints Soton (University of Southampton) · Cited by 153
Self-citationTransduction with Confidence and Credibility
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
- Melluish, T., Vovk, V., & Gammerman, A. (1999). Transduction for Regression Estimation with Confidence. NIPS’99.
- 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).
Cited by
Sorted by citations
Distribution-Free Predictive Inference for Regression
Lei, J., G’Sell, M., Rinaldo, A., Tibshirani, R. J., & Wasserman, L. (2018) · Journal of the American Statistical Association · doi:10.1080/01621459.2017.1307116 · Cited by 1,049
Conformalized Quantile Regression
Romano, Y., Patterson, E., & Candès, E. J. (2019) · arXiv · doi:10.48550/arxiv.1905.03222 · Cited by 236
Norinder, U., Carlsson, L., Boyer, S. K., & Eklund, M. (2014) · Journal of Chemical Information and Modeling · doi:10.1021/ci5001168 · Cited by 208
Conformal prediction: A unified review of theory and new challenges
Fontana, M., Zeni, G., & Vantini, S. (2022) · Bernoulli · doi:10.3150/21-bej1447 · Cited by 207
GHOST: Adjusting the Decision Threshold to Handle Imbalanced Data in Machine Learning
Esposito, C., Landrum, G. A., Schneider, N., Stiefl, N., & Riniker, S. (2021) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.1c00160 · Cited by 229
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
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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