SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers | Paper Citation Record

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This paper cites A Survey on Bias and Fairness in Machine Learning.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers A Survey on Bias and Fairness in Machine Learning

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SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

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This paper cites No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems

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This paper cites TFX: A TensorFlow-Based Production-Scale Machine Learning Plat- form.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers TFX: A TensorFlow-Based Production-Scale Machine Learning Plat- form

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This paper cites Visual exploration of machine learning results using data cube analysis.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Visual exploration of machine learning results using data cube analysis

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This paper cites Automated Data Slicing for Model Validation: A Big Data - AI Integration Approach.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Automated Data Slicing for Model Validation: A Big Data - AI Integration Approach

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SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning

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This paper cites Understanding Where Your Classifier Does (Not) Work – The SCaPE Model Class for EMM.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Understanding Where Your Classifier Does (Not) Work – The SCaPE Model Class for EMM

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This paper cites SubROC: AUC-Based Discovery of Exceptional Subgroup Perfor- mance for Binary Classifiers.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers SubROC: AUC-Based Discovery of Exceptional Subgroup Perfor- mance for Binary Classifiers

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SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Explora: a multipattern and multistrategy discovery assistant

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This paper cites Exceptional Model Mining.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Exceptional Model Mining

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This paper cites Novel Techniques for Efficient and Effective Subgroup Discovery.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Novel Techniques for Efficient and Effective Subgroup Discovery

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This paper cites Tight Optimistic Estimates for FastSubgroupDiscovery.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Tight Optimistic Estimates for FastSubgroupDiscovery

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This paper cites The relationship between Precision-Recall and ROC curves.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers The relationship between Precision-Recall and ROC curves

Reference 14

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SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Whentoconsultprecision-recallcurves

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This paper cites Unachievable region in precision-recall space and its effect on empir- ical evaluation.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Unachievable region in precision-recall space and its effect on empir- ical evaluation

Reference 16

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This paper cites Binary classification performance measures/metrics: A comprehensive visualized roadmap to gain new insights.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Binary classification performance measures/metrics: A comprehensive visualized roadmap to gain new insights

Reference 17

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This paper cites Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality

Reference 18

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This paper cites The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

Reference 19

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This paper cites Difference-Based Estimates for Generalization-Aware Subgroup Discovery.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Difference-Based Estimates for Generalization-Aware Subgroup Discovery

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This paper cites A Concise Representation of Association Rules Us- ing Minimal Predictive Rules.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers A Concise Representation of Association Rules Us- ing Minimal Predictive Rules

Reference 21

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This paper cites Local Models for Expectation-Driven Subgroup Discovery.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Local Models for Expectation-Driven Subgroup Discovery

Reference 22

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This paper cites Subgroup Discovery for ElectionAnalysis:ACaseStudyinDescriptiveDataMining.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Subgroup Discovery for ElectionAnalysis:ACaseStudyinDescriptiveDataMining

Reference 23

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SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Discovering Significant Patterns

Reference 24

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This paper cites Assessing data mining results via swap randomization.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Assessing data mining results via swap randomization

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This paper cites The Control of the False Discovery Rate in Multiple Testing under Dependency.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers The Control of the False Discovery Rate in Multiple Testing under Dependency

Reference 26

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SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers OpenML:NetworkedScienceinMachineLearning

Reference 27

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This paper cites The UCI Machine Learning Repository.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers The UCI Machine Learning Repository

Reference 28

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SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers XGBoost: A Scalable Tree Boosting System

Reference 29

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SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging

Reference 30

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This paper cites Identifying Significant Predictive Bias in Classifiers.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Identifying Significant Predictive Bias in Classifiers

Reference 31

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SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers SliceTeller: A Data Slice-Driven Approach for Machine Learning Model Validation

Reference 32

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This paper cites Evaluating the Fairness of Predic- tive Student Models Through Slicing Analysis.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Evaluating the Fairness of Predic- tive Student Models Through Slicing Analysis

Reference 33

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SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Deep ROC Analysis and AUC as Balanced Average Accu- racy, for Improved Classifier Selection, Audit and Explanation

Reference 34

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This paper cites Attributing AUC-ROC to Analyze Binary Classifier Performance.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Attributing AUC-ROC to Analyze Binary Classifier Performance

Reference 35

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SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Unresolved cited work

Reference 36

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This paper cites Fast exhaustive subgroup dis- covery with numerical target concepts.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Fast exhaustive subgroup dis- covery with numerical target concepts

Reference 37

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This paper cites Discovering Robustly Connected Sub- graphs with Simple Descriptions.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Discovering Robustly Connected Sub- graphs with Simple Descriptions

Reference 38

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This paper cites Identifying exceptional (dis)agreement between groups.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Identifying exceptional (dis)agreement between groups

Reference 39

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This paper cites Mathematics of Multisets.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Mathematics of Multisets

Reference 40

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This paper cites An introduction to ROC analysis.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers An introduction to ROC analysis

Reference 41

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This paper cites It follows ∀p′⊃p :sg(p′)⊆sg(p).

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers It follows ∀p′⊃p :sg(p′)⊆sg(p)

Reference 45

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This paper cites From the definition ofbROCAUC we know that in this case ∀(y, ˆy), (y′, ˆy′)∈C : (y <y′→ ˆy≤ ˆy′)∧ (y >y′→ ˆy≥ ˆy′) (24) holds.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers From the definition ofbROCAUC we know that in this case ∀(y, ˆy), (y′, ˆy′)∈C : (y <y′→ ˆy≤ ˆy′)∧ (y >y′→ ˆy≥ ˆy′) (24) holds

Reference 46

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This paper cites Therefore ROCAUC (C′) < 1 2 implies that at least one supporting point of the ROC curve ofC′ lies below the diagonal ROC curve.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers Therefore ROCAUC (C′) < 1 2 implies that at least one supporting point of the ROC curve ofC′ lies below the diagonal ROC curve

Reference 47

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This paper cites border” is the actual border of the achievable area. The curves named “approximation 1.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers border” is the actual border of the achievable area. The curves named “approximation 1

Reference 48

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This paper cites doi: 10.1145/1143844.1143874.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers doi: 10.1145/1143844.1143874

Reference 240

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This paper cites url: https://icml.cc/2012/papers/349.pdf.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers url: https://icml.cc/2012/papers/349.pdf

Reference 1626

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This paper cites 360–369.doi: 10.1109/ICDM.2011.94.

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers 360–369.doi: 10.1109/ICDM.2011.94

Reference 8486

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