| _ | auc | _ |
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| auc | Robot Camera Head |
| auc | -based Combination of Dichotomizers: Is Whole Maximization also Effective for Partial Maximization? |
| auc | -Based Linear Combination of Dichotomizers |
| auc | -Oriented Domain Adaptation: From Theory to Algorithm |
| Deep ROC Analysis and | auc | as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation |
| Exploiting | auc | for optimal linear combinations of dichotomizers |
| Generalizing | auc | Optimization to Multiclass Classification for Audio Segmentation With Limited Training Data |
| Half- | auc | for the evaluation of sensitive or specific classifiers |
| Improving Text Classifier Performance based on | auc | |
| Large-Scale Nonlinear | auc | Maximization via Triply Stochastic Gradients |
| Large-scale Robust Deep | auc | Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification |
| Learning probabilistic decision trees for | auc | |
| Learning With Multiclass | auc | : Theory and Algorithms |
| On the bias in the | auc | variance estimate |
| Optimal Design of Noise-Enhanced Binary Threshold Detector Under | auc | Measure |
| Optimizing Two-Way Partial | auc | With an End-to-End Framework |
| Partial | auc | maximization in a linear combination of dichotomizers |
| Revisiting | auc | -Oriented Adversarial Training With Loss-Agnostic Perturbations |
| Why Does Rebalancing Class-Unbalanced Data Improve | auc | for Linear Discriminant Analysis? |
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