Sökning: "receiver operating characteristic"
Visar resultat 11 - 15 av 45 uppsatser innehållade orden receiver operating characteristic.
11. 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 vetenskapsteoriSammanfattning : 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
12. CLASSIFYING TWITTER BOTSA comparasion of methods for classifying whethert weets are written by humans or bots
Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : 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
13. Exploring relevant features associated with measles nonvaccination using a machine learning approach
Master-uppsats, Stockholms universitet/Sociologiska institutionenSammanfattning : 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
14. Klassificering av neuropati baserat p˚a svettmo¨nster
Kandidat-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : Syftet med undersökningen var att avgöra klassificerbarheten av patienter med perfier 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
15. Detection of Archaeological Sites from Aerial Imagery using Deep Learning
Master-uppsats, Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisationSammanfattning : 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