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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 ...
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...
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...
Test Selection for Deep Neural Networks using Meta-Models with Uncertainty Metrics Demir, Demet; Betin Can, Aysu; Sürer, Elif (2024-09-16)
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...
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...
EXPLORING THE GENETIC LANDSCAPE OF COVID-19 SUSCEPTIBILITY AMONG PATIENTS IN TÜRKIYE: A VARIANT DISCOVERY STUDY Çakır, Yavuzhan; Aydın Son, Yeşim; Department of Bioinformatics (2024-8-20) The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has underscored the need to understand the genetic factors influencing disease susceptibility. This study adopts a data-driven approach to identify and analyze Single ...
MODEL-BASED PRODUCT LINE ENGINEERING METHODOLOGY FOR VARIABILITY MANAGEMENT IN SYSTEM ARCHITECTURE MODELS Güzel, Tuana; Baykal, Buyurman; Department of Information Systems (2024-8-6) The aerospace industry faces significant challenges in maintaining efficiency and quality in product development due to the increasing complexity of systems, driven by variations arising from competitive market dynamics an...
Recent Advancements and Use Cases on Co-Creation, Procedural Content Generation, and Computational Creativity in Video Games Sürer, Elif (Routledge, London/New York , 2024-08-01) Artificial intelligence (AI) has deeply impacted our understanding of creativity and the human ability to generate creative outputs. New applications for creative tasks are rapidly evolving, and new tools are constantly be...
Advancing Technical Debt Management in Software Systems with a Comprehensive TD Indicator and Question Catalog Çağlayan, Dilek; Özcan Top, Özden (2024-08-01) The Technical Debt (TD) metaphor was introduced over three decades ago and continues to challenge software development projects. Despite its recognized importance, there is a lack of comprehensive catalog that not only lis...
UNDERSTANDING THE INFLUENCE OF ORGANIZATIONAL CULTURE ON TECHNICAL DEBT ACCUMULATION AND MANAGEMENT ÇAĞLAYAN, DİLEK; ÖZCAN-TOP, ÖZDEN; Department of Information Systems (2024-8) Technical Debt (TD) is a metaphor to describe the cost of additional work caused by choosing a non-ideal solution in software development. Over time, TD accumulates and returns as a liability, necessitating significant ref...
Exploring the Impact of IT Governance Mechanisms on IT Agility Sari, Burcin; Özkan Yıldırım, Sevgi; Mandviwalla, Munir; Schuff, David (2024-08-01) As Information Technology (IT) becomes more integral, the importance of governance and the need to adapt IT to respond to environmental changes and opportunities increases. This study analyzes the impact of IT governance r...
Memory Networks as Neurocomputational Models of Cognitive Functions ALTINUÇ, Sinan Onur; Çakır, Murat Perit; Department of Cognitive Sciences (2024-7-16) This thesis develops a cognitive computational framework for exploring memory networks as neurocomputational models of syntax and rule learning, with a particular focus on Neural Turing Machines (NTMs). It contrasts NTMs w...
Imperceptible grating based Steady-State Motion Visual Evoked Potentials Brain-Computer Interface for spatial navigation Atabek, Bartu; Çakır, Murat Perit; Department of Cognitive Sciences (2024-7-5) Brain-computer interfaces (BCIs) offer promising solutions for individuals with motor impairments while enhancing human-computer interaction for non-disabled users in virtual reality and cognitive augmentation. However, wi...
Exploring the Impact of Social Factors on Wayfinding and Visual Attention in a Virtual Airport Environment Orlu, Gökçe; İmamoğlu, Çağrı; Sürer, Elif (2024-07-02)
ENHANCING DNN TEST DATA SELECTION THROUGH UNCERTAINTY-BASED AND DATA DISTRIBUTION-AWARE APPROACHES Demir, Demet; Sürer, Elif; Betin Can, Aysu; Department of Information Systems (2024-7) In this thesis, we introduce a testing framework designed to identify fault-revealing data in Deep Neural Network (DNN) models and determine the causes of these failures. Given the data-driven nature of DNNs, the effecti...
METATRANSCRIPTOMICS ANALYSIS USING MICROBIOME RNA-SEQ DATA Köseoğlu, Aysu; Acar, Aybar Can; Department of Medical Informatics (2024-6-14) This project aimed to understand Coprothermobacter proteolyticus and explore meta transcriptomics analysis using microbiome RNA sequencing (RNA-seq). Additionally, the project emphasized the importance of training data for...
Multicriteria decision support under uncertainty: combining outranking methods with Bayesian networks Cebesoy, Melodi; TUNCER ŞAKAR, CEREN; Yet, Barbaros (2024-06-11) Assessing alternative solutions that have uncertain evaluations in conflicting multiple criteria is not straightforward. Probabilistic models such as Bayesian networks (BNs) can effectively model and represent the uncertai...

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