Graduate School of Informatics

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Recent Submissions

Presenting predictions and performance of probabilistic models for clinical decision support in trauma care Alptekin, Cansu; Wohlgemut, Jared M.; Perkins, Zane B.; Marsh, William; Tai, Nigel R. M.; Yet, Barbaros (2025-02-01) Introduction: Both predictions and performance of clinical predictive models can be presented with various verbal and visual representations. This study aims to investigate how different risk and performance presentations ...
ASSESSING ADVANCED RETRIEVALAUGMENTED GENERATION TECHNIQUES FOR QUESTION ANSWERING: A CASE STUDY ON GOVERNMENTAL SERVICES Alzariqi, Abdullah Talat Ahmed Mohammed; Taşkaya Temizel, Tuğba; Department of Information Systems (2025-1-15) This case study evaluates advanced Retrieval-Augmented Generation (RAG) methods to enhance question answering in conversational AI for government services, focusing on data from the Ministry of Health and Prevention. It as...
Security Assessment of the Smartcard Systems at Middle East Technical University akçören, berkay; Tezcan, Cihangir; Department of Cybersecurity (2025-1-10) Smartcards are portable devices that can communicate wirelessly and contain microchips capable of transferring, processing or storing data. They serve practical and reliable solutions for everyday problems such as identifi...
API Security Guideline for Developers and Product Owners Akgündüz, Okan; Tezcan, Cihangir; Department of Cognitive Sciences (2025-1-10) A security guideline with security topics, practices, and recommendations to consider when designing, developing, and maintaining an API service for developers and product owners.
Representations in design computing through 3-D deep generative models Çakmak, Başak; Öngün, Cihan (2024-12-10) This paper aims to explore alternative representations of the physical architecture using its real-world sensory data through artificial neural networks (ANNs). In the project developed for this research, a detailed 3-D po...
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...
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...
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-...
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 ...
Arkeolojide Dijital Yöntemlerin Kullanım Alanları Sürer, Elif (Ege Yayınları, 2024-11-01)
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)

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