• A Deep Learning approach for modeling the spatial distribution of contaminants in the Black Sea 

      Alygizakis, Nikiforos (Πανεπιστήμιο Πελοποννήσου, 2022-05-04)
      Black Sea (BS) is an important ecosystem, which is affected by various anthropogenic pressures, such as shipping activities, wastewater inputs from large coastal cities and most importantly loads by major rivers (e.g., ...
    • Aspect Based Sentiment Analysis on hotel reviews in Greek 

      Τσίντζουρας, Δημήτριος (Πανεπιστήμιο Πελοποννήσου, 2021-07)
      In recent years, a rising number of businesses have used the feedback mechanism of reviews for their products and services in order to adapt to changing consumer demands. Sentiment identification from texts (Sentiment ...
    • Deep Metric Learning for Music Information Retrieval 

      Μουχάκης, Βασίλειος (Πανεπιστήμιο Πελοποννήσου, 2023-10-18)
      This master thesis explores the application of Deep Metric Learning (DML) in the context of audio data representations. DML is a technique that leverages deep neural networks to automatically learn hierarchical representations ...
    • Document Data Analysis via Machine/Deep Learning techniques 

      Σπυράτος, Άγγελος (Πανεπιστήμιο Πελοποννήσου, 2021-03)
      Job advert aggregators gather millions of adverts every single day, by scraping job boards and various other sources across the globe. Aggregators are getting visited by millions of active job seekers every day, that ...
    • Exploring Machine Learning for Electricity Price Forecasting 

      Μαστραπάς, Αναστάσιος (Πανεπιστήμιο Πελοποννήσου, 2021-07)
      The aim of this thesis is to explore the capabilities of Machine Learning algorithms in the task of electricity price forecasting. The focus is on the Hungarian wholesale electricity market (HUPX), which is considered a ...