Results 1 to 10 of about 536,794 (162)
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
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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, , Zhi-Hua Zhou
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Artificial Intelligence, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rong Jin, Lu Wang, Zhi-Hua Zhou
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Prediction of Financial Health of Business Entities of Selected Sector Using Balance Analysis II. by Rudolf Doucha and Verification of Its Predictive Ability through ROC [PDF]
SHS Web of Conferences, 2021 Forecasting business failure is a worldwide known term, in a global notion, and there is a lot of prediction models constructed to compute financial health of a company and, by that, state whether a company inclines to financial boom or bankruptcy.
Karpac Dusan, Bartosova Viera
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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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Performance analysis of different machine learning algorithms in breast cancer predictions [PDF]
EAI Endorsed Transactions on Pervasive Health and Technology, 2020 INTRODUCTION: There is a great percentage of failures in clinical trials of early detection of breast cancer. To do this, machine learning (ML) algorithms are useful to do diagnosis and prediction of cancer tumors with better accuracy.
Gopi Battineni +2 more
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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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Funding the Future of African American Religion Archival Collections
Theological Librarianship, 2016 Preparing academically rich collections for access by scholars and students is challenging, costly and time consuming. Concerns for maintenance, preservation, and access are paramount.
Andrea Jackson +2 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
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Scientia Pharmaceutica, 2020 Cyclosporine is a potent immunosuppressive drug. It has a narrow therapeutic index, and therefore the measurement of cyclosporine’s blood concentration is essential to obtain optimal therapy.
Hassan M. Abass +3 more
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