Inductive Confidence Machines for Regression

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Conformalized Quantile Regression

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Least Ambiguous Set-Valued Classifiers With Bounded Error Levels

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The limits of distribution-free conditional predictive inference

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Regression Conformal Prediction with Nearest Neighbours

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Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications

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Transductive Confidence Machines for Pattern Recognition

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Conformal Prediction Under Covariate ShiftPreprint

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Distribution-free, Risk-controlling Prediction Sets

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Hedging Predictions in Machine Learning

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Conditional validity of inductive conformal predictors

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A Self-Interpretable Soft Sensor Based on Deep Learning and Multiple Attention Mechanism: From Data Selection to Sensor Modeling

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A Martingale Framework for Detecting Changes in Data Streams by Testing Exchangeability

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Adaptive Conformal Inference Under Distribution ShiftPreprint

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Testing for outliers with conformal p-values

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Reliable prediction intervals with regression neural networks

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Learn then test: Calibrating predictive algorithms to achieve risk control

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Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting

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Uncertainty Sets for Image Classifiers using Conformal Prediction

Angelopoulos, A., Bates, S., Malik, J., & Jordan, M. I. (2020) · arXiv · doi:10.48550/arxiv.2009.14193 · Cited by 79

A comparison of some conformal quantile regression methods

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Nested conformal prediction and quantile out-of-bag ensemble methods

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Localized conformal prediction: a generalized inference framework for conformal prediction

Guan, L. (2022) · Biometrika · doi:10.1093/biomet/asac040 · Cited by 69

Well-calibrated confidence measures for multi-label text classification with a large number of labels

Maltoudoglou, L., Paisios, A., Lenc, L., Martínek, J., Král, P., & Papadopoulos, H. (2021) · Pattern Recognition · doi:10.1016/j.patcog.2021.108271 · Cited by 71

Valid prediction intervals for regression problems

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Applying Mondrian Cross-Conformal Prediction To Estimate Prediction Confidence on Large Imbalanced Bioactivity Data Sets

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Conformal Prediction with Neural Networks

Papadopoulos, H., Vovk, V., & Gammerman, A. (2007) · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · doi:10.1109/ictai.2007.47 · Cited by 66

Improving the Confidence of Machine Translation Quality Estimates

Specia, L., Turchi, M., Wang, Z., Shawe-Taylor, J. S., & Saunders, C. J. (2009) · Cited by 57

Conformal Prediction: A Data Perspective

Zhou, X., Chen, B., Gui, Y., & Cheng, L. (2025) · ACM Computing Surveys · doi:10.1145/3736575 · Cited by 69

Air traffic controller workload level prediction using conformalized dynamical graph learning

Pang, Y., Hu, J., Lieber, C. S., Cooke, N. J., & Liu, Y. (2023) · Advanced Engineering Informatics · doi:10.1016/j.aei.2023.102113 · Cited by 48

Machine learning based conformal predictors for uncertainty-aware compressive strength estimation of concrete

Tamuly, P., & Nava, V. (2025) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2025.141844 · Cited by 50

Bridging the gap: Towards an expanded toolkit for AI-driven decision-making in the public sector

Fischer-Abaigar, U., Kern, C. A., Barda, N., & Kreuter, F. (2024) · Government Information Quarterly · doi:10.1016/j.giq.2024.101976 · Cited by 64

Conformal matrix factorization based recommender system

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With Malice Toward None: Assessing Uncertainty via Equalized Coverage

Romano, Y., Barber, R. F., Sabatti, C., & Candès, E. J. (2020) · Harvard Data Science Review · doi:10.1162/99608f92.03f00592 · Cited by 56

QSAR-derived affinity fingerprints (part 1): fingerprint construction and modeling performance for similarity searching, bioactivity classification and scaffold hopping

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Improving urban water demand forecast using conformal prediction-based hybrid machine learning models

Iwakin, O. M., & Moazeni, F. K. (2024) · Journal of Water Process Engineering · doi:10.1016/j.jwpe.2023.104721 · Cited by 43

Integrating permutation feature importance with conformal prediction for robust Explainable Artificial Intelligence in predictive process monitoring

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Predictive Inference Is Free with the Jackknife+-after-BootstrapPreprint

Kim, B., Chen, X., & Barber, R. F. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2002.09025 · Cited by 43

Reliable Probability Estimates Based on Support Vector Machines for Large Multiclass Datasets

Lambrou, A., Papadopoulos, H., Nouretdinov, I., & Gammerman, A. (2012) · IFIP International Federation for Information Processing/IFIP · doi:10.1007/978-3-642-33412-2_19 · Cited by 41

The Ramification Problem in Temporal Databases: Concurrent Execution with Conflicting Constraints

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Copula-based conformal prediction for multi-target regression

Messoudi, S., Destercke, S., & Rousseau, S. (2021) · Pattern Recognition · doi:10.1016/j.patcog.2021.108101 · Cited by 39

Reliable diagnosis of acute abdominal pain with conformal prediction

Papadopoulos, H., Gammerman, A., & Vovk, V. (2009) · International journal of engineering intelligent systems for electrical engineering and communications · Cited by 39

Conformal prediction bands for multivariate functional data

Diquigiovanni, J., Fontana, M., & Vantini, S. (2021) · Journal of Multivariate Analysis · doi:10.1016/j.jmva.2021.104879 · Cited by 38

Conformal Risk Control

Angelopoulos, A. N., Bates, S., Fisch, A., Lei, L., & Schuster, T. (2022) · arXiv · doi:10.48550/arxiv.2208.02814 · Cited by 37

Personalized uncertainty quantification in artificial intelligence

Chakraborti, T., Banerji, C. R. S., Marandon, A., Hellon, V., Mitra, R., Lehmann, B., Bräuninger, L., McGough, S. F., Turkay, Ç., Frangi, A. F., et al. (2025) · Nature Machine Intelligence · doi:10.1038/s42256-025-01024-8 · Cited by 37

Guaranteed Coverage Prediction Intervals With Gaussian Process Regression

Papadopoulos, H. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2024.3418214 · Cited by 36

Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images

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Accelerating difficulty estimation for conformal regression forests

Boström, H., Linusson, H., Löfström, T., & Johansson, U. (2017) · Annals of Mathematics and Artificial Intelligence · doi:10.1007/s10472-017-9539-9 · Cited by 34

Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation

Ulmer, D., Hardmeier, C., & Frellsen, J. (2021) · IT University Of Copenhagen (IT University of Copenhagen) · doi:10.48550/arxiv.2110.03051 · Cited by 58

Interpretable regression trees using conformal prediction

Johansson, U., Linusson, H., Löfström, T., & Boström, H. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.12.041 · Cited by 32

Introduction to conformal predictors

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A SEVA soft sensor method based on self-calibration model and uncertainty description algorithm

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Uncertainty Quantification and Interpretability for Clinical Trial Approval Prediction

Lu, Y., Chen, T., Hao, N., Rechem, C. V., Chen, J., & Fu, T. (2024) · Health Data Science · doi:10.34133/hds.0126 · Cited by 35

AI allows pre-screening of FGFR3 mutational status using routine histology slides of muscle-invasive bladder cancer

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Using nondeterministic learners to alert on coffee rust disease

Luaces, O., Rodrigues, L. H. A., Meira, C. A. A., & Bahamonde, A. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.05.003 · Cited by 27

Confidence Predictions for the Diagnosis of Acute Abdominal Pain

Papadopoulos, H., Gammerman, A., & Vovk, V. (2009) · IFIP advances in information and communication technology · doi:10.1007/978-1-4419-0221-4_22 · Cited by 25

Conformalized-DeepONet: A distribution-free framework for uncertainty quantification in deep operator networks

Moya, C., Mollaali, A., Zhang, Z., Lu, L., & Lin, G. (2024) · Physica D Nonlinear Phenomena · doi:10.1016/j.physd.2024.134418 · Cited by 24

Inductive Venn Prediction

Lambrou, A., Nouretdinov, I., & Papadopoulos, H. (2014) · Annals of Mathematics and Artificial Intelligence · doi:10.1007/s10472-014-9420-z · Cited by 24

Selection and Aggregation of Conformal Prediction Sets

Yang, Y., & Kuchibhotla, A. K. (2024) · Journal of the American Statistical Association · doi:10.1080/01621459.2024.2344700 · Cited by 22

Reliable probabilistic classification with neural networks

Papadopoulos, H. (2012) · Neurocomputing · doi:10.1016/j.neucom.2012.07.034 · Cited by 22

CD-split and HPD-split: efficient conformal regions in high dimensionsPreprint

Izbicki, R., Shimizu, G. Y., & Stern, R. B. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2007.12778 · Cited by 22

Model-agnostic nonconformity functions for conformal classification

Johansson, U., Linusson, H., Löfström, T., & Boström, H. (2017) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2017.7966105 · Cited by 21

Neural Networks Regression Inductive Conformal Predictor and Its Application to Total Electron Content Prediction

Papadopoulos, H., & Haralambous, H. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15819-3_4 · Cited by 21

Probabilistic Reframing for Cost-Sensitive Regression

Hernández‐Orallo, J. (2014) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/2641758 · Cited by 21

Enhancing decision support in crop production: Analyzing conformal prediction for uncertainty quantification

Farag, M., Emam, A., Leonhardt, J., & Roscher, R. (2025) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2025.110559 · Cited by 22

Development and Evaluation of Conformal Prediction Methods for Quantitative Structure–Activity Relationship

Xu, Y., Liaw, A. I., Sheridan, R. P., & Svetnik, V. (2024) · ACS Omega · doi:10.1021/acsomega.4c02017 · Cited by 20

Distribution-free binary classification: prediction sets, confidence intervals and calibrationPreprint

Gupta, C., Podkopaev, A., & Ramdas, A. (2020) · Neural Information Processing Systems · doi:10.48550/arxiv.2006.10564 · Cited by 106

Conformal Sensitivity Analysis for Individual Treatment Effects

Yin, M., Shi, C., Wang, Y., & Blei, D. M. (2022) · Journal of the American Statistical Association · doi:10.1080/01621459.2022.2102503 · Cited by 19

Efficient conformal predictor ensembles

Linusson, H., Johansson, U., & Boström, H. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.07.113 · Cited by 22

Rule extraction with guarantees from regression models

Johansson, U., Sönströd, C., Löfström, T., & Boström, H. (2022) · Pattern Recognition · doi:10.1016/j.patcog.2022.108554 · Cited by 19

Assessment of Stroke Risk Based on Morphological Ultrasound Image Analysis with Conformal Prediction

Lambrou, A., Papadopoulos, H., Kyriacou, E. C., Pattichis, C. S., Pattichis, M. S., Gammerman, A., & Nicolaides, A. N. (2010) · IFIP International Federation for Information Processing/IFIP · doi:10.1007/978-3-642-16239-8_21 · Cited by 19

Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty

Mossina, L., Dalmau, J., & Andéol, L. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00361 · Cited by 18

Improving conformalized quantile regression through cluster-based feature relevance

Sousa, M., Tomé, A. M., & Moreira, J. E. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.122322 · Cited by 18

Reliable Probabilistic Prediction for Medical Decision Support

Papadopoulos, H. (2011) · IFIP International Federation for Information Processing/IFIP · doi:10.1007/978-3-642-23960-1_32 · Cited by 18

Responsible machine learning for United States Air Force pilot candidate selection

Wasilefsky, D., Caballero, W. N., Johnstone, C., Gaw, N. B., & Jenkins, P. R. (2024) · Decision Support Systems · doi:10.1016/j.dss.2024.114198 · Cited by 18

Multi split conformal prediction

Solari, A., & Djordjilović, V. (2022) · Statistics & Probability Letters · doi:10.1016/j.spl.2022.109395 · Cited by 17

Efficiency Comparison of Unstable Transductive and Inductive Conformal Classifiers

Linusson, H., Johansson, U., Boström, H., & Löfström, T. (2014) · Lecture notes in computer science · doi:10.1007/978-3-662-44722-2_28 · Cited by 17

Reliable prediction intervals with directly optimized inductive conformal regression for deep learning

Lei, H., & Bellotti, A. G. (2023) · Neural Networks · doi:10.1016/j.neunet.2023.09.008 · Cited by 16

Conformal prediction bands for two-dimensional functional time series

Ajroldi, N., Diquigiovanni, J., Fontana, M., & Vantini, S. (2023) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2023.107821 · Cited by 16

Uncertainty quantification for direction-of-arrival estimation with conformal prediction

Khurjekar, I. D., & Gerstoft, P. (2023) · The Journal of the Acoustical Society of America · doi:10.1121/10.0020655 · Cited by 15

Quantifying Deep Learning Model Uncertainty in Conformal Prediction

Karimi, H., & Samavi, R. (2023) · Proceedings of the AAAI Symposium Series · doi:10.1609/aaaiss.v1i1.27492 · Cited by 15

Data Science Methods for Real-World Evidence Generation in Real-World Data

Liu, F. (2024) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-102423-113220 · Cited by 15

EVALUATION OF THE RISK OF STROKE WITH CONFIDENCE PREDICTIONS BASED ON ULTRASOUND CAROTID IMAGE ANALYSIS

Lambrou, A., Papadopoulos, H., Kyriacou, E. C., Pattichis, C. S., Pattichis, M. S., Gammerman, A., & Nicolaides, A. N. (2012) · International Journal of Artificial Intelligence Tools · doi:10.1142/s0218213012400167 · Cited by 15

System Log Detection Model Based on Conformal Prediction

Ren, Y., Gu, Z., Wang, Z., Tian, Z., Liu, C., Lu, H. D., Du, X., & Guizani, M. (2020) · Electronics · doi:10.3390/electronics9020232 · Cited by 15

Certifiable Object Pose Estimation: Foundations, Learning Models, and Self-Training

Talak, R., Peng, L., & Carlone, L. (2023) · IEEE Transactions on Robotics · doi:10.1109/tro.2023.3271568 · Cited by 15

Uncertainty-aware genomic deep learning with knowledge distillation

Zhou, J., Rizzo, K., Christensen, T. A., Tang, Z., & Koo, P. K. (2026) · npj Artificial Intelligence · doi:10.1038/s44387-025-00053-3 · Cited by 22

The Importance of Being a Band: Finite-Sample Exact Distribution-Free Prediction Sets for Functional Data

Diquigiovanni, J., Fontana, M., & Vantini, S. (2023) · Statistica Sinica · doi:10.5705/ss.202022.0087 · Cited by 14

A reliable breast cancer diagnosis approach using an optimized deep learning and conformal prediction

Almaslukh, B. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.106743 · Cited by 14

Calibrated explanations for regression

Löfström, T., Löfström, H., Johansson, U., Sönströd, C., & Matela, R. (2025) · Machine Learning · doi:10.1007/s10994-024-06642-8 · Cited by 19

Signed-Error Conformal Regression

Linusson, H., Johansson, U., & Löfström, T. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-06608-0_19 · Cited by 14

Regression trees for streaming data with local performance guarantees

Johansson, U., Sönströd, C., Linusson, H., & Boström, H. (2014) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata.2014.7004263 · Cited by 14

Conformal predictions for information fusion

Balasubramanian, V. N., Chakraborty, S., & Panchanathan, S. (2014) · Annals of Mathematics and Artificial Intelligence · doi:10.1007/s10472-013-9392-4 · Cited by 14

Reliable Confidence Predictions Using Conformal Prediction

Linusson, H., Johansson, U., Boström, H., & Löfström, T. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-31753-3_7 · Cited by 13

Reliable Text-to-SQL with Adaptive Abstention

Chen, K., Chen, Y., Koudas, N., & Yu, X. (2025) · Proceedings of the ACM on Management of Data · doi:10.1145/3709719 · Cited by 12

Conformal load prediction with transductive graph autoencoders

Luo, R., & Colombo, N. (2025) · Machine Learning · doi:10.1007/s10994-024-06713-w · Cited by 12

Reliable pavement backcalculation with confidence estimation

Gopalakrishnan, K., & Papadopoulos, H. (2011) · Scientia Iranica · doi:10.1016/j.scient.2011.11.018 · Cited by 12

Qualified Predictions for Large Data Sets

Papadopoulos, H. (2009) · The Knowledge Engineering Review · doi:10.1017/s0269888909990221 · Cited by 2

Ridge Regression Confidence Machine

Nouretdinov, I., Melluish, T., & Vovk, V. (2001) · Cited by 72

Transductive confidence machines

Rogers, J. (2011) · Wiley Interdisciplinary Reviews Computational Statistics · doi:10.1002/wics.154 · Cited by 2

On-line confidence machines are well-calibrated

Vovk, V. (2003) · Annual Symposium on Foundations of Computer Science · doi:10.1109/sfcs.2002.1181895 · Cited by 49

Transductive Confidence Machine

Nouretdinov, I., & Vovk, V. (2003)