Now showing items 1-5 of 5

  • Categorical assessment of depression based on high level features.

    T.E.I. of Crete, School of Engineering (STEF), PPS in Informatics and Multimedia
    Authors: Vazakopoulou, Kalliopi-Marina
    Thesis advisor: Tsiknakis, Emmanouil
    Publication Date: 2018-04-17
    Depression is one of the leading causes of ill health and disability worldwide. In the US nearly 50 million people were living with depression in 2015. According to the latest estimates from the World Health Organization ...
  • 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 ...
  • Machine learning data preparation for epileptic seizures prediction.

    T.E.I. of Crete, School of Engineering (STEF), PPS in Informatics and Multimedia
    Authors: Theodorakopoulou, Andriana
    Thesis advisor: Papadourakis, Georgios
    Publication Date: 2017-09-13
    Epilepsy is a chronic neurological disorder that affects approximately 50 million people worldwide. These intractable seizures postures are a serious risk of injury, restrict the self-sufficiency and mobility of a person. ...
  • Τumor recognition.

    T.E.I. of Crete, School of Engineering (STEF), Department of Informatics Engineering
    Authors: Synapalos, Dimitrios
    Thesis advisor: Papadakis, Nikolaos
    Publication Date: 2019-02-15
    The presented project, engages the topic of computer assisted detection and categorization of cancerous masses in mammograms. Starting on the cited papers, the cutting-edge techniques and technologies are mentioned and ...
  • Automatic recognition of soundscapes and sound events in city environment.

    T.E.I. of Crete, School of Applied Sciences, Department of Music Technology and Acoustics Engineering (in Rethymno)
    Authors: Kampitakis, Michail
    Thesis advisor: Zervas, Panagiotis
    Publication Date: 2019-03-13
    This thesis performs a theoretical study of automatic recognition systems on audio events, due to machine learning, developing of our own data set of recordings in locations on town Rethymno, and also implementation of ...