Graduate School of Informatics, Thesis

Item Usage Stats

Browse

Search within this collection:

Filters

Entity Type
Thesis (972)

Has File(s)
Yes (947)
No (25)

Author
Akkoyun, Emrah (2)
Akyol, Mehmet Ali (2)
Alaşehir, Oğuzhan (2)
Alkan, Sarper (2)
Alkış, Nurcan (2)

Subject
Engineering and Technology (170)
Social Sciences and Humanities (80)
Natural Sciences (42)
Computer software (33)
Computer software. (33)

Date Issued
1998 - 1999 (3)
2000 - 2009 (206)
2010 - 2019 (495)
2020 - 2025 (268)

Item Type
Master Thesis (734)
Ph.D. Thesis (238)

Recent Submissions

EnSCAN: ENSEMBLE SCORING FOR PRIORITIZING CAUSATIVE VARIANTS ACROSS MULTI-PLATFORM GWAS FOR LATE-ONSET ALZHEIMER'S DISEASE Erdoğan, Onur; Aydın Son, Yeşim; İyigün, Cem; Department of Medical Informatics (2025-2-21) Late-onset Alzheimer's Disease (LOAD) represents a progressive and complex neurodegenerative condition prevalent among the elderly demographic. Manifesting through cognitive deterioration, including memory impairment and d...
INVESTIGATING THE SEMANTIC SIMILARITY EFFECT ON DELAYED FREE RECALL USING WORD EMBEDDINGS Büyükyaprak, Burak; Yet, Barbaros; Kılıç Özhan, Aslı; Department of Cognitive Sciences (2025-1-10) Episodic memory is a type of long-term memory that encodes and retrieves personal experiences associated with their context. Previous episodic memory studies showed that the context or pre-existing knowledge about retrieve...
Brain Network Connectivity of the N-Back Task in Schizophrenia Groups According to M1 Receptor Polymorphism Çağlayan, Ece; Çakır, Murat Perit; Kır, Yağmur; Department of Medical Informatics (2025-1-10) This study explores the impact of clozapine, an atypical antipsychotic, on cognitive function and brain connectivity in 43 schizophrenia patients, focusing on the M1 muscarinic receptor and its rs2067477 polymorphism. Buil...
FACILITATING COLLABORATIVE DEEPFAKE DETECTION BASED ON BLOCKCHAIN TECHNOLOGY AND REPUTATION Zemin, Mustafa; Baykal, Nazife; Department of Information Systems (2025-1-07) The increasing popularity of deepfake technology is progressively posing a significant threat to information integrity and security. There are numerous solutions to detect deepfakes, but they usually fail to detect all o...
A robust approach for predicting mutation effects on transcription factor binding: insights from mutational signatures in 560 breast cancer samples Kılınç, Hüseyin Hilmi; Otlu Sarıtaş, Burçak; Department of Bioinformatics (2025-1-07) Somatic mutations, particularly in non-coding regions, can perturb transcription factor (TF)-DNA interactions, influencing gene regulatory networks and contributing to cancer development. Thus, they require further compreh...
DEFINING CULTURE AND PEOPLE RELATED PROCESSES IN ADVANCED DATA ANALYTICS PROJECTS AFSHAR GHOCHANI, TINA; Özcan Top, Özden; Aysolmaz, Banu; Department of Information Systems (2025-1) Advanced data analytics (ADA), as an emerging field, empowers companies in gaining competitive advantages by offering insights derived from data. To derive business value from ADA, organizations must develop various capa...
Cross-Session EEG-Based Mental Workload Classification Using Graph Neural Networks for Reproducible Brain-Computer Interface Applications Demirezen, Güliz; Taşkaya Temizel, Tuğba; Brouwer, Anne-Marie; Department of Information Systems (2024-12-20) Human mental workload refers to the portion of an operator’s cognitive capacity used during a task. Performance of an operator may deteriorate if resource requirements of a task is higher than the available capability. Eff...
Using Deep Learning Models for Structural Break Detection in Time Series Yazıcı, Pınar Cemre; Yozgatlıgil, Ceylan; Department of Information Systems (2024-12-06) This study addresses the detection and localization of structural breaks in time series data through a comprehensive pipeline, encompassing synthetic data generation, model training, and validation. Synthetic datasets were...
Adaptive system for dynamic handling of concept drift: detection, modeling, and weighted ensemble predictions Özcan, Barış; Günel Kılıç, Banu; Department of Data Informatics (2024-12) Machine learning models depend on the quality and quantity of data used in the training process. This dependency necessitates continuous development in data collection methods and the optimization of existing data resource...
A comparative analysis of various 3D mesh optimization algorithms for assessing effectiveness on sustaining virtual visual illusion Eronat, Ümit; Tokel, Saniye Tuğba; Department of Modeling and Simulation (2024-11-29) 3D modeling is essential in fields like architecture, engineering, and virtual reality, but high-resolution 3D models often demand significant data and computational resources. Mesh simplification algorithms address this i...
DEVELOPING A FRAMEWORK TO EVALUATE THE USABILITY OF VIRTUAL AND MIXED REALITY ENVIRONMENTS TO PRACTICE MODEL-BASED SYSTEMS ENGINEERING Karataş, Kaan; Sürer, Elif; Department of Modeling and Simulation (2024-11-26) Systems Engineering is an interdisciplinary engineering field that focuses on the identification of the required components of a product and their specifications to achieve the purpose or objective. The emergence of Model-...
An analysis of kerberoasting attack and detection with supervised machine learning algorithms Aksüt, Yasin; Tezcan, Cihangir; Department of Cybersecurity (2024-11) Active Directory (AD) is one of the most widely used directory services today, playing a key role in organizing and managing network resources within an organization. In cybersecurity, AD serves as a significant component ...
NEURAL AND OCULAR CORRELATES OF CONCEPTUAL GROUNDING IN VERBAL INTERACTION: A MULTIMODAL HYPERSCANNING APPROACH Yilmaz, Efecan; Çakır, Murat Perit; Cognitive Science (2024-9-28) Effective communication depends on interlocutors agreeing on how to resolve ambiguities and constructing conceptual representations into shared meanings. To achieve this, continuous adaptation by all participants to establ...
ANALYSIS OF TECHNICAL DEBT IN ML-BASED SOFTWARE DEVELOPMENT PROJECTS Dayan Akman, Pelin; Özcan Top, Özden; Taşkaya Temizel, Tuğba; Department of Information Systems (2024-9-06) Rapid development of Machine Learning (ML) algorithms and tools, and easier access to available frameworks and infrastructures have greatly fueled development of ML- based software solutions for real-world problems. Simila...
Identifying potential therapeutic molecules for hepatocellular carcinoma through machine learning-based drug repurposing Başer, Tuğçe; Otlu Sarıtaş, Burçak; Atalay, Rengül; Department of Medical Informatics (2024-9-06) Hepatocellular carcinoma (HCC) is the most common primary liver cancer with a high mortality rate due to limited treatment options. Systemic drug treatments increase patient survival and often extend life by several months...
Perspective Taking in Narrative Comprehension: A Three-Factor Investigation Akkuşçu, Mustafa; Zeyrek Bozşahin, Deniz; Temürcü, Ceyhan; Department of Cognitive Sciences (2024-9-6) A narrative is a kind of discourse wherein events/situations revolving around characters are described. The field of narrative comprehension deals with how characters/events in narratives are represented in readers' cogn...
AN INVESTIGATION OF ISSUE LABELING IN OPEN SOURCE SOFTWARE PROJECTS USING LARGE LANGUAGE MODELS Deniz, İrem Selin; Özcan Top, Özden; Koçyiğit, Altan; Department of Information Systems (2024-9-06) In the evolving landscape of open source software projects, effective issue management remains a pivotal aspect of sustaining project success. Issue reports provide valuable information, as they are created for reporting b...
INDEPENDENCE OF CASE AND INNER ASPECT IN TURKISH Dinçer, Derin; Özge, Umut; Department of Cognitive Science (2024-9-06) Inner aspect refers to how a predicate describes the temporal structure of an event. Traditionally, an event with an endpoint is defined as delimited (i.e. telic), and an event without an endpoint is defined as nondelimite...
Negative Dependencies and Intervention Effects in Turkish Karataş, Batuhan; Özge, Umut; Department of Cognitive Sciences (2024-9-06) There are two main goals of this study: (i) to understand the descriptive properties of the negative dependencies (e.g. hiçbir, any, ever) in Turkish, which are basically expressions that require some kind of negation in a...
Identification of Critical Success Factors in Data Analytics Projects Demir, Nisa; Özcan Top, Özden; Aysolmaz, Banu; Department of Information Systems (2024-9-5) Various data analytics applications are increasingly used by organizations to extract insights from data. There are numerous studies exploring the critical success factors (CSFs) in different data analytics fields includin...

Citation Formats