Now showing items 1-13 of 13

  • 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 ...
  • Design and development of a web-based data visualization software for political tendency identification of Twitter’s users using Python Dash Framework.

    H.M.U., School of Engineering (ScENG) MSc in Informatics & Multimedia
    Authors: Britzolakis, Alexandros
    Thesis advisor: Papadakis, Nikolaos
    Publication Date: 2020-06-11
    The rapid evolution of computers as well as the emerge of the internet brought a new era on the field of communication systems. Many individuals can instantly communicate with each other (through instant messaging or ...
  • 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. ...
  • Opinion mining from data of social media by probabilistic logic reasoning.

    H.M.U., School of Engineering (ScENG) MSc in Informatics & Multimedia
    Authors: Zervoudakis, Stefanos
    Thesis advisor: Marakakis, Emmanouil
    Publication Date: 2020-09-23
    This thesis studies opinion mining from social media with probabilistic logic reasoning. Twitter is one of the most active social networks, with millions of tweets sent daily, where multiple users express their opinion ...
  • 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. ...
  • Gene expression analysis using deep learning.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Panagiotakis, Georgios
    Thesis advisor: Marias, Konstantinos
    Publication Date: 2021-05-11
    The present work outlines the basic aspects of artificial intelligence in the field of bioinformatics and in particular the use of neural networks for the analysis of gene expressions. In the first stage, introductory ...
  • Music database development with the use of the European Digital Library (Europeana Music).

    Η.Μ.U, School of Music and Optoacoustic Technologies (SMOT), Music Technology and Acoustics Dept.
    Authors: Tsoura, Rais
    Thesis advisor: Zervas, Panagiotis
    Publication Date: 2020-10-21
    In this paper, reference is made to digital libraries, and more specifically to the European Digital Library (europeana), their necessity, advantages and disadvantages but also the challenges they face in the modern picture, ...
  • 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 ...
  • Automatic artist recognition by using machine learning methods.

    Η.Μ.U, School of Music and Optoacoustic Technologies (SMOT), Music Technology and Acoustics Dept.
    Authors: Vavagiakis, Eftychios
    Thesis advisor: Zervas, Panagiotis
    Publication Date: 2020-09-10
    The dissemination of digital musical information brought upon the creation of huge music databases which are used for both personal and professional reasons. Thus, the need was created for fast and reliable information ...
  • Consumer's attitude towards the introduction of robots in accomodation and hotel industry.

    Η.Μ.U, School of Management and Economic Sciences (SMES), Business Administration and Tourism Dept.
    Authors: Vardoulaki, Aikaterini; Roditi, Olga
    Thesis advisor: Dimou, Eirini
    Publication Date: 2020-04-29
    It is widely accepted that we are going through a period of time in which almost all human needs and everyday life are directly linked to technology. New technologies have 'invaded' the modern households and businesses, ...