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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...
Design, synthesis, and evaluation of novel Indole-Based small molecules as sirtuin inhibitors with anticancer activities. Binarci, Busra; Kilic, Ensar Korkut; Dogan, Tunca; Cetin Atalay, Rengul; Kahraman, Deniz Cansen; Nacak Baytas, Sultan (2024-11-01) Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide, driven mainly by chronic hepatitis infections and metabolic disorders, which highlights the urgent need for novel therapeutic strateg...
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 ...
News Classification with State-of-the-Art Deep Learning Methods Özdemir, Serkan (2024-10-16) The subject of text classification is a fundamental area particularly considering current expansion of chatbots and recommendation systems. There exists promising results with traditional machine learning (ML) algorithms, ...
Revisiting the earliest hyperscanning study: power and functional connectivity in the alpha band may link brains far apart Özkurt, Tolga Esat (2024-10-01) This brief report revisits the earliest known hyperscanning study published in 1965, which examined simultaneous EEG recordings of identical twins separated by six meters. The original study’s findings suggested that eye c...
TopoMaskV2: Enhanced Instance-Mask-Based Formulation for the Road Topology Problem Kalfaoğlu, Muhammet Esat; Öztürk, Halil İbrahim; Kılınç, Özsel; Temizel, Alptekin (2024-09-30)
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...
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...
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...
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...
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...

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