Sökning: "receiver operating characteristic"

Visar resultat 1 - 5 av 35 uppsatser innehållade orden receiver operating characteristic.

  1. 1. Determining linguistic predictor for the classification of subjective cognitive impairment and mild cognitive impairment using machine learning

    Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

    Författare :Tian Wang; [2020-09-01]
    Nyckelord :mild cognitive impairment; sibjective cognitive impairment; natural language processing; support vector machine; neural networks;

    Sammanfattning : Introduction Mild Cognitive Impairment (MCI) is a neurological condition characterized by cognitive decline greater than expected for an individual's age and education level. Subjective Cognitive Impairment (SCI) is a selfreported decline in cognitive abilities but not clinically identified as MCI. LÄS MER

  2. 2. CLASSIFYING TWITTER BOTSA comparasion of methods for classifying whethert weets are written by humans or bots

    Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Simon Västerbo; [2020]
    Nyckelord :;

    Sammanfattning : The use of bots to inuence public debate, spread disinformation and spam, creates a need for efficient methods for detecting the usage of bots. This study will compare different machine learning methods in the task of classifying if the author of a tweet is a bot or a human, using tweet level features. LÄS MER

  3. 3. Exploring relevant features associated with measles nonvaccination using a machine learning approach

    Master-uppsats, Stockholms universitet/Sociologiska institutionen

    Författare :Orlando Olaya Bucaro; [2020]
    Nyckelord :Elastic Net; Variable selection; Determinants of immunization; Regularized Regression; Philippines;

    Sammanfattning : Measles is resurging around the world, and large outbreaks have been observed in several parts of the world. In 2019 the Philippines suffered a major measles outbreak partly due to low immunization rates in certain parts of the population. LÄS MER

  4. 4. Klassicering av neuropati baserat p˚a svettmo¨nster

    Kandidat-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Johan Broberg; Hussein Hamoodi; Henrik Håkansson; Jonathan Kerr; [2019-07-01]
    Nyckelord :;

    Sammanfattning : Syftet med undersökningen var att avgöra klassicerbarheten av patienter med perer neuropati baserat på svettmönster med hjälp av logistisk regression. Vår data innehöll tre grupper: kontroller, neuropatiska och obekräftat neuropatiska, individer som misstänks lida av neuropati men ¨annu inte fått det bekräftat. LÄS MER

  5. 5. Detection of Archaeological Sites from Aerial Imagery using Deep Learning

    Master-uppsats, Lunds universitet/Institutionen för astronomi och teoretisk fysik

    Författare :Jorge Lazo; [2019]
    Nyckelord :Deep Learning; Archaeology; Computer Vision; Aerial Imagery; Transfer Learning.; Physics and Astronomy;

    Sammanfattning : In recent years, Deep Learning has proven to be an outstanding tool in the field of computer vision showing promising results in different fields such as the analysis of medical images, obstacle detection for self-driving cars, automatic image caption generation, etc. In the case of Archaeology, the adoption of these methods in the detection of archaeological structures from aerial images has been slower than in other fields. LÄS MER