In fiber-optic vibration-sensing applications, intelligent sensing analysis is an important task
for reducing costs and improving the overall quality of monitoring. Most existing methods …

While Receiver Operator Characteristic (ROC) curves have been a standard tool in the
design and evaluation of binary classification problems, they have sometimes been blamed …

ROC 曲线是模型选择的一种重要方法, 但ROC 曲线的不确定性影响了模型选择的准确性.
基于分辨粒度, 从反映得分的不确定性的角度提出gROC 和gAUC 的概念 …

Receiving Operating Curve (ROC) analysis is a powerful and statistical accepted method to
assess the performance of a diagnostic test. ROC curve plots true positive rate against false …

Sažetak Image data points mining is concerned with the extraction of knowledge
relationship among image data and other patterns inherent in the images. Taxonomy-Aware …

Classification systems are employed to remotely assess whether an element of interest falls
into a target class or non-target class. These systems have uses in fields as far ranging as …

ROC 曲线是模型选择的一种重要方法, 但 ROC 曲线的不确定性影响了模型选择的准确性.
基于分辨粒度, 从反映得分的不确定性的角度提出 gROC 和 gAUC 的概念, 从理论上讨论了 …