Sökning: "Shahin Saleh"

Hittade 2 uppsatser innehållade orden Shahin Saleh.

  1. 1. Deep Active Learning for Image Classification using Different Sampling Strategies

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Shahin Saleh; [2021]
    Nyckelord :Convolutional Neural Network; Deep Active Learning; Deep Learning; Image Classification; Sampling Strategies; SemiSupervised Learning.; Bildklassificering; Faltningsnätverk; Deep Active Learning; Djupinlärning; Semiövervakat lärande; Urvalsstrategier.;

    Sammanfattning : Convolutional Neural Networks (CNNs) have been proved to deliver great results in the area of computer vision, however, one fundamental bottleneck with CNNs is the fact that it is heavily dependant on the ground truth, that is, labeled training data. A labeled dataset is a group of samples that have been tagged with one or more labels. LÄS MER

  2. 2. Emergency Department Triage Prediction of Emergency Severity Index using Machine Learning Models

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Zohib Sekandari; Shahin Saleh; [2019]
    Nyckelord :Machine Learning; Triage; ESI; Classification; Maskininlärning; ESI; Klassificering;

    Sammanfattning : Study Objective: The emergency department (ED) in the United States strongly rely on subjective assessment of patients. This study seeks to evaluate an electronic triage system based on machine learning models that can predict the patients emergency severity index (ESI). Methods: A dataset containing 560 486 patients triage data was investigated. LÄS MER