Πλοήγηση Μεταπτυχιακές διπλωματικές εργασίες - Τεχνητή Νοημοσύνη και Βαθιά Μάθηση ανά Επιβλέποντα "74a82478-8042-45d0-8b67-92199279b304"

Αποτελέσματα 1-7 από 7

    • A comparative evaluation of machine learning and deep learning for sports predictions in table tennis 

      Κυρώσης, Μηνάς-Νικόλαος (Πανεπιστήμιο Δυτικής Αττικής, 2024-03-07)
      The surge in sports data availability has opened avenues for exploring the application of machine learning (ML) and deep learning (DL) techniques in predicting match outcomes as classification tasks across various sports. ...

    • Applying graph neural networks for stance detection over online social networks 

      Μοναχέλης, Παναγιώτης (Πανεπιστήμιο Δυτικής Αττικής, 2024-03)
      Fake news has flooded social networks and has been studied from different perspectives. Different methodologies have been proposed to approach this issue. In recent years, researchers have been conducting analyses based ...

    • Applying reinforcement learning algorithms for profitable strategies in a stock market simulator 

      Σταυροθανάσης, Θεόδωρος (Πανεπιστήμιο Δυτικής Αττικής, 2023-10-13)
      Financial time series present unique characteristics that an investor, analyst or algorithmic trader has to take always into account. One of the defining features is their inherent volatility and non-linearity. Unlike many ...

    • Augmentation of large language model capabilities with knowledge graphs 

      Τσακαλάκης, Βίκτωρ (Πανεπιστήμιο Δυτικής Αττικής, 2024-03-06)
      This postgraduate thesis explores the possibility for augmentation of the abilities of Large Language Models (LLMs) in the task of Question Answering by incorporating the technique of Retrieval-Augmented Generation (RAG) ...

    • Greek patent classification using deep learning 

      Ποντίκης, Ιωάννης (Πανεπιστήμιο Δυτικής Αττικής, 2023-02-22)
      Patents are documents that contain state of the art technical and scientific information in almost every field of science. Patent applications filed every day in the Hellenic Industrial Property Organization, have to be ...

    • Solving multiple sequence alignment using deep reinforcement learning 

      Κοτζιά, Ειρήνη (Πανεπιστήμιο Δυτικής Αττικής, 2024-02-20)
      Multiple Sequence Alignment (MSA) is a fundamental task in Bioinformatics, essential for understanding evolutionary relationships, genetic adaptations, drug design, and other applications. In general, MSA is a Nondeterministic ...

    • Spatial-temporal crime prediction using deep learning 

      Μποτσαράκος, Γεώργιος (Πανεπιστήμιο Δυτικής Αττικής, 2022-09-26)
      Dealing with crime is one of the main purposes of a society. Therefore, the law enforcement authorities with the limited resources they have are trying to fight crime, which is characterized by dynamic spatio-temporal ...