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Better Classifier Calibration for Small Datasets

https://doi.org/10.1145/3385656
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-23528-8openalex-snapshot
Machine Learning and Knowledge Discovery in Databases
inferredcites →https://doi.org/10.1007/978-3-319-23528-8_5openalex-snapshot
Novel Decompositions of Proper Scoring Rules for Classification: Score Adjustment as Precursor to Calibration
inferredcites →https://doi.org/10.1007/s10115-017-1133-2openalex-snapshot
Binary classifier calibration using an ensemble of piecewise linear regression models
inferredcites →https://doi.org/10.1016/j.eswa.2008.07.018openalex-snapshot
Knowledge discovery on RFM model using Bernoulli sequence
inferredcites →https://doi.org/10.1021/ci4000213openalex-snapshot
Quantitative Structure–Activity Relationship Models for Ready Biodegradability of Chemicals
inferredcites →https://doi.org/10.1023/a:1007413511361openalex-snapshot
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
inferredcites →https://doi.org/10.1080/01621459.1982.10477856openalex-snapshot
The Well-Calibrated Bayesian
inferredcites →https://doi.org/10.1093/biomet/34.1-2.1openalex-snapshot
THE VARIANCE OF THE OVERLAP OF GEOMETRICAL FIGURES WITH REFERENCE TO A BOMBING PROBLEM
inferredcites →https://doi.org/10.1109/34.735807openalex-snapshot
Bayesian classification with Gaussian processes
inferredcites →https://doi.org/10.1109/icmla.2008.107openalex-snapshot
Calibrating Random Forests
inferredcites →https://doi.org/10.1118/1.2786864openalex-snapshot
The prediction of breast cancer biopsy outcomes using two CAD approaches that both emphasize an intelligible decision process
inferredcites →https://doi.org/10.1136/amiajnl-2011-000291openalex-snapshot
Calibrating predictive model estimates to support personalized medicine
inferredcites →https://doi.org/10.1137/1.9781611974010.24openalex-snapshot
Binary Classifier Calibration Using a Bayesian Non-Parametric Approach
inferredcites →https://doi.org/10.1145/1102351.1102430openalex-snapshot
Predicting good probabilities with supervised learning
inferredcites →https://doi.org/10.1145/3236009openalex-snapshot
A Survey of Methods for Explaining Black Box Models
inferredcites →https://doi.org/10.1145/502512.502540openalex-snapshot
Learning and making decisions when costs and probabilities are both unknown
inferredcites →https://doi.org/10.1145/775047.775151openalex-snapshot
Transforming classifier scores into accurate multiclass probability estimates
inferredcites →https://doi.org/10.1162/089976698300017197openalex-snapshot
Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
inferredcites →https://doi.org/10.1162/089976699300016007openalex-snapshot
Combined 5 × 2 cv F Test for Comparing Supervised Classification Learning Algorithms
inferredcites →https://doi.org/10.1186/s12859-017-1736-3openalex-snapshot
A nonparametric Bayesian method of translating machine learning scores to probabilities in clinical decision support
inferredcites →https://doi.org/10.1198/tech.2010.10111openalex-snapshot
Nearly-Isotonic Regression
inferredcites →https://doi.org/10.1214/08-aoas191openalex-snapshot
A weakly informative default prior distribution for logistic and other regression models
inferredcites →https://doi.org/10.5220/0006576003790386openalex-snapshot
Getting More Out of Small Data Sets - Improving the Calibration Performance of Isotonic Regression by Generating More Data
inferredcites →https://doi.org/10.5555/2627435.2697065openalex-snapshot
Do we need hundreds of classifiers to solve real world classification problems

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The development of fragility curves using calibrated probabilistic classifiers
inferred← citeshttps://doi.org/10.1109/icmla55696.2022.00165openalex-snapshot
Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy Datasets
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3565159openalex-snapshot
A Survey on Confidence Calibration of Deep Learning-Based Classification Models Under Class Imbalance Data
inferred← citeshttps://doi.org/10.1145/3433164openalex-snapshot
A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm for Posterior Probability Adjustment
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Cost-Aware Calibration of Classifiers
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Refining Customer Profiling through Interaction Behaviors: A High-dimensional Machine Learning Approach
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