… the uncertainty of predictions at patient-level using an ensemble of classifiers coupled with calibration methods, Venn-ABERS, and Conformal Predictors: a case study …
T Pereira, S Cardoso, M Guerreiro, SC Madeira… - Journal of biomedical …, 2020 - Elsevier
… of the proposed ensemble approach is described in detail in the following subsections. We
describe the methods used to target uncertainty of predictions: DPE, calibration methods (PS …
describe the methods used to target uncertainty of predictions: DPE, calibration methods (PS …
Conformal prediction in clinical medical sciences
J Vazquez, JC Facelli - Journal of Healthcare Informatics Research, 2022 - Springer
… to this review is the lack of methods enabling uncertainty … the CP and Venn-ABERS
confidence predictors with other … calibration methods given by standard classification methods. …
confidence predictors with other … calibration methods given by standard classification methods. …
Comparison of scaling methods to obtain calibrated probabilities of activity for protein–ligand predictions
… Venn–ABERS predictors (VA), in calibrating prediction scores obtained from ligand–target
prediction … of predictions at the patient-level, highlighting that VA produced superior probability …
prediction … of predictions at the patient-level, highlighting that VA produced superior probability …
[PDF][PDF] Improving Uncertainty Quantification in Regression Problems through Conformal Training
J Vallikivi - 2023 - mlmi.eng.cam.ac.uk
… At its core is a statistical calibration method for predictive … As we will see later, conformal
prediction methods are not equally … In contrast to this, we use only a single target coverage level …
prediction methods are not equally … In contrast to this, we use only a single target coverage level …
A non-conformity approach towards post-prostatectomy metastasis estimation using a multicentre prostate cancer database
C Chatzichristos, JF Golib-Dzib… - Conformal and …, 2021 - proceedings.mlr.press
… Advances in CPs theory allow for targeted approaches to … in aggregate form, or any patient
level data provided in a data … , light blue boxes offer additional information about the patients’ …
level data provided in a data … , light blue boxes offer additional information about the patients’ …
Introduction to conformal predictors
P Toccaceli - Pattern Recognition, 2022 - Elsevier
… As the target error rate ϵ is reduced… classification methods and output probabilistic predictions.
Dispensing with some technicalities, it can be stated that those probabilities are calibrated…
Dispensing with some technicalities, it can be stated that those probabilities are calibrated…
Probabilistic Random Forest improves bioactivity predictions close to the classification threshold by taking into account experimental uncertainty
… In conclusion, PRF can be useful for target prediction models … The conformal, calibration
and Bayesian procedures, shown … , and proposed the combined application of various query …
and Bayesian procedures, shown … , and proposed the combined application of various query …
Estimation of fault probability in medium voltage feeders through calibration techniques in classification models
… combined with calibration models, such as Platt scaling and Isotonic Regression, and other
uncertainty methods [Venn-ABERS predictors (… of the target class with an ad hoc procedure …
uncertainty methods [Venn-ABERS predictors (… of the target class with an ad hoc procedure …
Nonhypothesis-driven research: data mining and knowledge discovery
MR Cummins, SK Nachimuthu… - Clinical Research …, 2023 - Springer
… Clinical information, stored over time and increasingly linked to … analysis and, more recently,
uncertainty quantification and … Models must also be calibrated for the target population with …
uncertainty quantification and … Models must also be calibrated for the target population with …
Data Science Methods for Real-World Evidence Generation in Real-World Data
F Liu - Annual Review of Biomedical Data Science, 2024 - annualreviews.org
… Targeting the uncertainty of predictions at patient-level using an ensemble of classifiers
coupled with calibration methods, VennABERS, and Conformal Predictors: a case study in AD. J. …
coupled with calibration methods, VennABERS, and Conformal Predictors: a case study in AD. J. …