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A Hybrid and Reliable Method Integrating Depth and Technical Analysis with Machine Learning Techniques for Predicting Stock Prices
(Fen Bilimleri Enstitüsü, 2019)
It is quite complicated and difficult to predict the price changes direction of stock, because of the price changes of stock are non-linear. Some statistical methods are used to estimate these price changes direction, but ...
Utilization of Local and Global Image Descriptors for Phishing Web Page Identifıcation
(Fen Bilimleri Enstitüsü, 2020)
In recent years, the use of the Internet has increased in all areas of life, thus many cyber- attacks have emerged. These attacks aim to steal users' private information such as passwords, credit cards. During phishing ...
An Enhanced Approach for Malware Detectıon By Utılızıng Computer Vısıon and Memory Forensıc
(Fen Bilimleri Enstitüsü, 2020)
The number of advanced malware, which have been released, has increased substantially
year after year with the increase in the use of information systems. Due to the ransomware
programs, which we have frequently heard ...
Large-Scale Arabic Sentiment Corpus And Lexicon Building For Concept-Based Sentiment Analysis Systems
(Fen Bilimleri Enstitüsü, 2018)
Within computer-based technologies, the usage of collected data and its size are
continuously on a rise. This continuously growing big data processing and
computational requirements introduce new challenges, especially ...
A Machıne Learnıng Approach For The Detectıon Of Trade Based Manıpulatıons In Borsa İstanbul
(Fen Bilimleri Enstitüsü, 2022)
Capital markets, one of the pillars of the financial system, play a vital role in transferring the excess funds of savers to investors who need funds in the medium and long term. Trust is essential for the safe and effective ...
Development of A Machine Learning Based Application For Diagnosing Autoinflammatory Diseases
(Fen Bilimleri Enstitüsü, 2024-02)
Diseases caused by immune system dysfunction have numerous complications, significantly affecting patients' life quality. One specific group of such diseases is autoinflammatory diseases, which occur when the immune system ...
Improving Video Retrieval with Data Expansion and Knowledge Graphs
(Fen Bilimleri Enstitüsü, 2024)
Recent video-text multimodel approaches provide good results on retrieval tasks. However, the performance of domain-specific cases might be decreased because of internal differences with generic data. Since deep learning ...
Retweet Prediction on Earthquake Tweets
(Fen Bilimleri Enstitüsü, 2024-09-14)
On February 6, 2023, an earthquake centered in Kahramanmaraş killed or damaged many people. In the aftermath of these devastating earthquakes, the efficiency of communication channels in the crisis zone is of vital importance. ...
Advancing Software Defect Prediction through Ensemble XAI Methods: Insights and Performance Evaluation
(Fen Bilimleri Enstitüsü, 2024-05)
This doctoral thesis presents a comprehensive investigation into enhancing the interpretability and transparency of Machine Learning (ML) models in the domain of Software Defect Prediction (SDP) through Model-Agnostic ...
Predicting Disease-Gene Associations Via Machine Learning
(Bilişim Enstitüsü, 2024)
In the quest to elucidate disease etiology and develop advanced diagnostic and treatment
tools, knowing disease-gene relationships is of great importance. Traditional approaches
based on manual curation fall short due ...