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Recent Submissions

Secondary data analysis using Evidence-Based Bayesian Networks with an application to investigate the determinants of childhood stunting Yet, Barbaros; Öykü Başerdem, Elif; Rosenstock, Todd (2024-12-05) Secondary data – data previously collected by other researchers for a different purpose – offers a cost-effective and readily available resource for research and policy or program design but presents challenges due to the ...
Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study Aydın Son, Yeşim (2024-12-01) Through technological innovations, patient cohorts can be examined from multiple views with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict outcomes. Here, we aim to present our app...
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge Ali, Sharib; et. al. (2024-12-01) Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, appearance, and location makes the detection of polyps challenging. Moreover, colonoscopy surveillance and removal of p...
Bayesian networks may allow better performance and usability than logistic regression Wohlgemut, Jared M.; Pisirir, Erhan; Stoner, Rebecca S.; Kyrimi, Evangelia; Yet, Barbaros; Marsh, William; Perkins, Zane B.; Tai, Nigel R. M. (2024-12-01)
Design, implementation and usability analysis of patient empowerment in ADLIFE project via patient reported outcome measures and shared decision making Erturkmen, Gokce B. Laleci; Juul, Natassia Kamilla; Redondo, Irati Erreguerena; Gil, Ana Ortega; Berastegui, Dolores Verdoy; de Manuel, Esteban; Yuksel, Mustafa; Sarigul, Bunyamin; Yılmaz, Gökçen; Choi Keung, Sarah N. L. I. M.; Arvanitis, Theodoros N.; Syse, Thea Damkjaer; Bloemeke-Cammin, Janika; Kaye, Rachelle; Sorknæs, Anne Dichmann (2024-12-01) Introduction: This paper outlines the design, implementation, and usability study results of the patient empowerment process for chronic disease management, using Patient Reported Outcome Measurements and Shared Decision-M...
Test Selection for Deep Neural Networks using Meta-Models with Uncertainty Metrics Demir, Demet; Betin Can, Aysu; Sürer, Elif (2024-09-16)
Critical Success Factors in Data Analytics Projects: Insights from a Systematic Literature Review Demir, Nisa; Aysolmaz, Banu; Özcan Top, Özden (2024-09-10) 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...
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...
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...
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...
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...
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...
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...
Exploration of practitioners' continuance intention toward Agile methodology usage: an empirical investigation Vural, Tuğçe; Özkan Yıldırım, Sevgi; Department of Information Systems (2024-9-05) Organizations have embraced Agile methodology due to its flexible approach to software development compared to traditional methodologies. As Agile practices become widespread, it is crucial to understand the factors influe...
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...
SIMULATING AND AUGMENTING TURBULENT THERMAL IMAGES FOR DEEP OBJECT DETECTION MODELS Uzun, Engin; Akagündüz, Erdem; Department of Modeling and Simulation (2024-9-03) Atmospheric turbulence, caused by factors such as temperature, wind speed, and humidity, leads to random fluctuations in the atmosphere’s refractive index. This phenomenon degrades the image quality of long-range observati...
EFFICIENT PRETRAINING OF VISION TRANSFORMERS: A LAYER-FREEZING APPROACH WITH LOCAL MASKED IMAGE MODELING Topçuoğlu, Utku Mert; Akagündüz, Erdem; Department of Modeling and Simulation (2024-9-03) This thesis explores the acceleration of pre-training Vision Transformers (ViTs) for self-supervised learning by integrating progressive layer freezing with local masked image modeling. The study aims to address the signif...
Infrared Domain Adaptation with Zero-Shot Quantization Sevsay, Burak; Akagündüz, Erdem; Department of Modeling and Simulation (2024-9-03) Object detection models are gaining popularity in daily life and industry, increasing the demand for real-time computation of these models. Model compression is an essential technique to achieve faster inference and smalle...
Advanced Land Use Mix Analysis in Urban Areas Using Point-Based Data: Methods and Applications Akyol, Mehmet Ali; Baykal, Nazife; Düzgün, H. Şebnem; Department of Information Systems (2024-9-03) This thesis investigates the role of Land Use Mix (LUM) analysis in urban planning, Geographic Information Systems (GIS) research, and disaster risk assessment, offering novel methodologies and tools to address existing ch...
User performance and engagement in multi-user gaming Environments: An experimental investigation through the group eye tracking (GET) paradigm Acartürk, Cengiz; Fal, Mehmetcan; Perit Çakır, Murat (2024-09-01) This study explores user performance and engagement in a multi-user gaming environment, using the Group Eye Tracking (GET) paradigm. Through a balloon-popping task, we investigate the interplay between individual and colle...

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