Image de couverture de livre

Interval-Based AUC (iAUC): Extending ROC Analysis to Uncertainty-Aware Classification

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Yuqi, Engelhard, Matthew M.
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers
par: Siegl, Tom, et autres
Publié: (2025)

Weakly Supervised AUC Optimization: A Unified Partial AUC Approach
par: Xie, Zheng, et autres
Publié: (2023)

FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport
par: Liu, Pengxi, et autres
Publié: (2025)

ROC and AUC of this study
par: Pratama, Aldian Arie
Publié: (2025)

Federated Compositional Deep AUC Maximization
par: Zhang, Xinwen, et autres
Publié: (2023)

Evolutionary Multitasking AUC Optimization
par: Wang, Chao, et autres
Publié: (2022)

Preserving AUC Fairness in Learning with Noisy Protected Groups
par: Wu, Mingyang, et autres
Publié: (2025)

Confidence Intervals for AUC and pAUC by Empirical Likelihood
par: Yumin Zhao, et autres
Publié: (2025)

Electroencephalogram Emotion Recognition via AUC Maximization
par: Xiao, Minheng
Publié: (2024)

On Fixing the Right Problems in Predictive Analytics: AUC Is Not the Problem
par: Baker, Ryan S., et autres
Publié: (2024)

Online AUC Optimization Based on Second-order Surrogate Loss
par: Luo, JunRu, et autres
Publié: (2025)

Towards Macro-AUC oriented Imbalanced Multi-Label Continual Learning
par: Zhang, Yan, et autres
Publié: (2024)

Decomposing Global AUC into Cluster-Level Contributions for Localized Model Diagnostics
par: Sudjianto, Agus, et autres
Publié: (2025)

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation
par: Sun, Hui, et autres
Publié: (2026)

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning
par: Hua, Cong, et autres
Publié: (2025)

Communication-Efficient Federated AUC Maximization with Cyclic Client Participation
par: Vangapally, Umesh, et autres
Publié: (2026)

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation
par: Shi, Wentao, et autres
Publié: (2024)

Buffered AUC maximization for scoring systems via mixed-integer optimization
par: Shiina, Moe, et autres
Publié: (2026)

Stochastic Primal-Dual Double Block-Coordinate for Two-way Partial AUC Maximization
par: Zhou, Linli, et autres
Publié: (2025)

Robust low-rank estimation with multiple binary responses using pairwise AUC loss
par: Mai, The Tien
Publié: (2026)

AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
par: Han, Boyu, et autres
Publié: (2024)

Closing the Approximation Gap of Partial AUC Optimization: A Tale of Two Formulations
par: Jiang, Yangbangyan, et autres
Publié: (2025)

Towards a Trustworthy Anomaly Detection for Critical Applications through Approximated Partial AUC Loss
par: Bougaham, Arnaud, et autres
Publié: (2025)

Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model
par: Zhao, Yuankang, et autres
Publié: (2025)

No Impact of Vancomycin MIC, AUC, or AUC/MIC in Enterococcus faecium Bacteremia
par: Anne Limelette, et autres
Publié: (2025)

Conditional Prediction ROC Bands for Graph Classification
par: Wu, Yujia, et autres
Publié: (2024)

Area under the ROC Curve has the Most Consistent Evaluation for Binary Classification
par: Li, Jing
Publié: (2024)

Uncertainty-Aware Multimodal Learning via Conformal Shapley Intervals
par: Chandy, Mathew, et autres
Publié: (2026)

Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning
par: Sun, Minghui, et autres
Publié: (2025)

CLEAR: Unlearning Spurious Style-Content Associations with Contrastive LEarning with Anti-contrastive Regularization
par: Sun, Minghui, et autres
Publié: (2025)

Multiclass ROC
par: Wang, Liang, et autres
Publié: (2024)

Learning Uncertainty-Aware Temporally-Extended Actions
par: Lee, Joongkyu, et autres
Publié: (2024)

Introducing Interval Neural Networks for Uncertainty-Aware System Identification
par: Ferah, Mehmet Ali, et autres
Publié: (2025)

Additive Logistic Models as Interpretable Likelihood-Ratio Scores for AUC-Based Classification
par: Chang, Yuan-chin Ivan
Publié: (2015)

Beyond Prediction: Interval Neural Networks for Uncertainty-Aware System Identification
par: Ferah, Mehmet Ali, et autres
Publié: (2026)

Knee or ROC
par: Wendt, Veronica, et autres
Publié: (2024)

On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models
par: Li, Boyao, et autres
Publié: (2023)

A Multiclass ROC Curve
par: Giudici, Paolo, et autres
Publié: (2025)

Coalitions of AI-based Methods Predict 15-Year Risks of Breast Cancer Metastasis Using Real-World Clinical Data with AUC up to 0.9
par: Jiang, Xia, et autres
Publié: (2024)

Design-Based Inference for the AUC with Complex Survey Data
par: Iparragirre, Amaia, et autres
Publié: (2026)