Essays about: "Receiver Operating Curve"
Showing result 21 - 25 of 40 essays containing the words Receiver Operating Curve.
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21. Evaluation of a Radiomics Model for Classification of Lung Nodules
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Lung cancer has been a major cause of death among types of cancers in the world. In the early stages, lung nodules can be detected by the aid of imaging modalities such as Computed Tomography (CT). In this stage, radiologists look for irregular rounded-shaped nodules in the lung which are normally less than 3 centimeters in diameter. READ MORE
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22. Rating corrumption within insurance companies using Bayesian network classifiers
University essay from Umeå universitet/StatistikAbstract : Bayesian Network (BN) classifiers are a type of probabilistic models. The learning process consists of two steps, structure learning and parameter learning. Four BN classifiers will be learned. These are two different Naive Bayes classifiers (NB), one Tree Augmented Naive Bayes classifier (TAN) and one Forest Naive Bayes classifier (FAN). READ MORE
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23. Deep learning to classify driver sleepiness from electrophysiological data
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : Driver sleepiness is a cause for crashes and it is estimated that 3.9 to 33 % of all crashes might be related to sleepiness at the wheel. It is desirable to get an objective measurement of driver sleepiness for reduced sensitivity to subjective variations. READ MORE
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24. Early Warning Leakage Detection for Pneumatic Systems on Heavy Duty Vehicles : Evaluating Data Driven and Model Driven Approach
University essay from KTH/MekatronikAbstract : Modern Heavy Duty Vehicles consist of a multitude of components and operate in various conditions. As there is value in goods transported, there is an incentive to avoid unplanned breakdowns. For this, condition based maintenance can be applied. READ MORE
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25. Debt recovery prediction in securitized non-performing loans using machine learning
University essay from KTH/Matematisk statistikAbstract : Credit scoring using machine learning has been gaining attention within the research field in recent decades and it is widely used in the financial sector today. Studies covering binary credit scoring of securitized non-performing loans are however very scarce. READ MORE