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The AUK: A simple alternative to the AUC [PDF]
Engineering Applications of Artificial Intelligence, 2012 The area under the receiver operating characteristic (ROC) curve, also known as the AUC-index, is commonly used for ranking the performance of data mining models. The AUC has various merits, such as ease of interpretation. However, since it is class indifferent, its usefulness while dealing with highly skewed data sets is questionable.
Uzay Kaymak, Arie Ben-David
exaly +3 more sources
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach
IEEE Transactions on Pattern Analysis and Machine IntelligenceSince acquiring perfect supervision is usually difficult, real-world machine learning tasks often confront inaccurate, incomplete, or inexact supervision, collectively referred to as weak supervision. In this work, we present WSAUC, a unified framework for weakly supervised AUC optimization problems, which covers noisy label learning, positive ...
Zheng Xie, Yu Liu, Hao-Yuan He
exaly +4 more sources
Artificial Intelligence, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lu Wang, Rong Jin, Shenghuo Zhu
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AUC-mixup: Deep AUC Maximization with Mixup
CoRR, 2023 3 pages, 4 ...
Jianzhi Xv, Gang Li, Tianbao Yang
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European Biophysics Journal, 2009 Progress in analytical ultracentrifugation (AUC) has been hindered by obstructions to hardware innovation and by software incompatibility. In this paper, we announce and outline the Open AUC Project. The goals of the Open AUC Project are to stimulate AUC innovation by improving instrumentation, detectors, acquisition and analysis software, and ...
Colfen, Helmut +10 more
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AUC-MF: Point of Interest Recommendation with AUC Maximization [PDF]
2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019 The task of point of interest (POI) recommendation aims to recommend unvisited places to users based on their check-in history. A major challenge in POI recommendation is data sparsity, because a user typically visits only a very small number of POIs among all available POIs. In this paper, we propose AUC-MF to address the POI recommendation problem by
Peng Han 0005 +5 more
openaire +1 more source
A critical analysis of variants of the AUC [PDF]
Machine Learning, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stijn Vanderlooy, Eyke Hüllermeier
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Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints
CoRR, 2022 Published in AISTATS ...
Yao Yao, Qihang Lin, Tianbao Yang
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Efficient AUC Optimization for Classification [PDF]
, 2007 In this paper we show an efficient method for inducing classifiers that directly optimize the area under the ROC curve. Recently, AUC gained importance in the classification community as a mean to compare the performance of classifiers. Because most classification methods do not optimize this measure directly, several classification learning methods ...
Toon Calders, Szymon Jaroszewicz
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Estimation of AUC or Partial AUC Under Test-Result-Dependent Sampling [PDF]
Statistics in Biopharmaceutical Research, 2012 The area under the ROC curve (AUC) and partial area under the ROC curve (pAUC) are summary measures used to assess the accuracy of a biomarker in discriminating true disease status. The standard sampling approach used in biomarker validation studies is often inefficient and costly, especially when ascertaining the true disease status is costly and ...
Xiaofei, Wang +3 more
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