Now showing items 1-5 of 5

  • Categorical embedding with Deep Learning.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Giannakos, Iakovos
    Thesis advisor: Tsiknakis, Emmanouil; Koumakis, Eleftherios; Marias, Konstantinos
    Publication Date: 2021-02-04
    The study conducted in the framework of the dissertation on "Categorical embedding with deep learning". To clarify, the purpose of the dissertation is to study and implement a word-embedding neural network for genomic data ...
  • Extracting high-dimensional features from medical images by utilizing deep learning techniques.

    T.E.I. of Crete, School of Engineering (STEF), PPS in Informatics and Multimedia
    Authors: Trivizakis, Eleftherios
    Thesis advisor: Marias, Konstantinos
    Publication Date: 2019-02-05
    Machine Learning, as a field of computer science started in the early 1960s. Recently, with the rise of high-throughput computing and the massively available data, advanced machine learning techniques have led to unprecedented ...
  • Semantic segmentation of diabetic retinopathy lesions, using a UNET with pretrained encoder.

    H.M.U., School of Engineering (ScENG) MSc in Informatics & Multimedia
    Authors: Theodoropoulos, Dimitrios
    Thesis advisor: Marias, Konstantinos
    Publication Date: 2022-01-19
    With the emergence of Deep Learning nowadays, a lot of novel architectures have been devised to perform tasks such as classification, detection, segmentation etc. In Medical Imaging and especially in Ophthalmology, the ...
  • Type 1 diabetes hypoglycemia prediction based on continuous glucose monitoring and heart rate.

    H.M.U., School of Engineering (ScENG) MSc in Informatics & Multimedia
    Authors: Tsichlaki, Styliani
    Thesis advisor: Tsiknakis, Emmanouil
    Publication Date: 2022-01-14
    Hypoglycemia is a condition that arises when blood glucose levels decrease below 60 mg/dL. This incident can occur due to a variety of causes, such as taking additional doses of insulin, skipping meals, or over-exercising. ...
  • Pain detection through biosignal analysis.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Kalogeraki, Maria
    Thesis advisor: Tsiknakis, Emmanouil
    Publication Date: 2022-05-12
    Pain is a complex and subjective experience. Accurate detection of pain is an important tool in assessing patients' health within the medical community. Current approaches for the detection and estimation of pain include ...