Essays about: "extremvärden"

Showing result 1 - 5 of 24 essays containing the word extremvärden.

  1. 1. Error detection in blood work : Acomparison of self-supervised deep learning-based models

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Paul Vinell; [2022]
    Keywords : anomaly detection; outlier detection; error detection; machine learning; deep learning; blood work; blood tests; felupptäckning; extremvärden; maskininlärning; djupinlärning; blodprov;

    Abstract : Errors in medical testing may cause serious problems that has the potential to severely hurt patients. There are many machine learning methods to discover such errors. However, due to the rarity of errors, it is difficult to collect enough examples to learn from them. It is therefore important to focus on methods that do not require human labeling. READ MORE

  3. 2. Application of ERT for Quality Assurance in Jet Grouting Columns; A development of an alternative quality control

    University essay from Lunds universitet/Teknisk geologi; Lunds universitet/Väg- och vattenbyggnad (CI)

    Author : Edvin Nilsagård; Rebecka Knutsson; [2022]
    Keywords : ert; jet grouting; quality control; pygimli; res2dinv; resistivity; Technology and Engineering;

    Abstract : With the increased urbanization major cities are facing, expansion of larger facilities and households are inevitable. Expansion means larger areas of the surface needs to be used where the risk of varying subsurface soil properties increases with larger surface areas. READ MORE

  4. 3. Classification and localization of extreme outliers in computer vision tasks in surveillance scenarios

    University essay from KTH/Hälsoinformatik och logistik

    Author : Tariq Daoud; Emanuel Zere Goitom; [2022]
    Keywords : Computer vision; deep learning; machine learning; artificial neural networks; convolutional neural networks; YOLOv4; Datorseende; djupinlärning; maskininlärning; artificiella neurala nätverk; konvolutionella neurala nätverk; YOLOv4;

    Abstract : Convolutional neural networks (CNN) have come a long way and can be trained toclassify many of the objects around us. Despite this, researchers do not fullyunderstand how CNN models learn features (edges, shapes, contours, etc.) fromdata. READ MORE

  5. 4. Market Surveillance Using Empirical Quantile Model and Machine Learning

    University essay from KTH/Matematik (Avd.)

    Author : Daniel Landberg; [2022]
    Keywords : Market surveillance; Outlier detection; Empirical quantiles; Empirical distribution; Isolation forest; Principal Component Analysis; PCA; Finance; Marknadsövervakning; Extremvärdes upptäckt; Empiriska kvantiler; Empirisk distribution; Isolationsskog; Huvudkomponent analys; Finans;

    Abstract : In recent years, financial trading has become more available. This has led to more market participants and more trades taking place each day. The increased activity also implies an increasing number of abusive trades. To detect the abusive trades, market surveillance systems are developed and used. READ MORE

  6. 5. Copula Modelling of High-Dimensional Longitudinal Binary Response Data

    University essay from KTH/Matematik (Avd.)

    Author : Nils Henningsson; [2022]
    Keywords : Copula; latent model; variational inference; Copula; latent modell; variational inference;

    Abstract : This thesis treats the modelling of a high-dimensional data set of longitudinal binary responses. The data consists of default indicators from different nations around the world as well as some explanatory variables such as exposure to underlying assets. READ MORE