Graduate School of Informatics

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Recent Submissions

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...
Statistical modelling of determinants of child stunting using secondary data and Bayesian networks: a UKRI Global Challenges Research Fund (GCRF) Action Against Stunting Hub protocol paper Rosenstock, Todd S.; Yet, Barbaros (2024-03-22) Introduction Several factors have been implicated in child stunting, but the precise determinants, mechanisms of action and causal pathways remain poorly understood. The objective of this study is to explore causal relatio...
Efficient primer design for genotype and subtype detection of highly divergent viruses in large scale genome datasets Demiralay, Burak; Acar, Aybar Can; Department of Medical Informatics (2024-3-11) Identification of microorganisms is a crucial step in diagnostics, pathogen screening, biomedical research, evolutionary studies, agriculture, and biological threat assessment. While progress has been made in studying larg...
Real-World Implicit Association Task for Studying Mind Perception: Insights for Social Robotics Pekçetin, Tuğçe Nur; Evsen, Şeyda; Pekçetin, Serkan; Acartürk, Cengiz; Urgen, Burcu A. (2024-03-11) In response to the growing demand for enhanced integration of implicit measurements in Human-Robot Interaction (HRI) research, the need for studies involving physically present robots, and the calls for a transition from l...
A Naturalistic Laboratory Setup for Real-World HRI Studies Pekçetin, Tuğçe Nur; Evsen, Şeyda; Pekçetin, Serkan; Karaduman, Tuvana Dilan; Acartürk, Cengiz; Urgen, Burcu A. (2024-03-11) We present our novel naturalistic laboratory setup that facilitates the presentation of real-world live-action stimuli by physically present actors in a controlled manner. Participants observe live-action stimuli through a...
Investigating Mind Perception in HRI through Real-Time Implicit and Explicit Measurements Pekçetin, Tuğçe Nur; Acartürk, Cengiz; Urgen, Burcu A. (2024-03-11) Social robots have revolutionized social interaction and communication. This study explores our perception of robots, focusing on the factors influencing evaluations of Agency and Experience - two dimensions of mind percep...
FPGA-friendly compact and efficient AES-like 8 × 8 S-box Malal, Ahmet; Tezcan, Cihangir (2024-03-01) One of the main layers in the Advanced Encryption Standard (AES) is the substitution layer, where an 8 × 8 S-Box is used 16 times. The substitution layer provides confusion and makes the algorithm resistant to cryptanalysi...
An integrative framework for clinical diagnosis and knowledge discovery from exome sequencing data Shojaei, Mona; Mohammadvand, Navid; DOĞAN, TUNCA; Alkan, Can; Çetin Atalay, Rengül; Acar, Aybar Can (2024-02-01) Non-silent single nucleotide genetic variants, like nonsense changes and insertion-deletion variants, that affect protein function and length substantially are prevalent and are frequently misclassified. The low sensitivit...
Abnormally low sensorimotor α band nonlinearity serves as an effective EEG biomarker of Parkinson’s disease Özkurt, Tolga Esat (2024-02-01) Biomarkers obtained from the neurophysiological signals of patients with Parkinson’s disease (PD) have objective value in assessing their motor condition for effective diagnosis, monitoring, and clinical intervention. Prom...
BioNet-XR: Biological Network Visualization Framework for Virtual Reality and Mixed Reality Environments Şenderin, Büşra; Tunçbağ, Nurcan; Sürer, Elif (2024-02-01) Protein-protein interaction networks (PPIN) enable the study of cellular processes in organisms. Visualizing PPINs in extended reality (XR), including virtual reality (VR) and mixed reality (MR), is crucial for exploring s...
Spatiotemporal signal space separation for regions of interest: Application for extracting neuromagnetic responses evoked by deep brain stimulation Oswal, Ashwini; Abdi-Sargezeh, Bahman; Sharma, Abhinav; Özkurt, Tolga Esat; Taulu, Samu; Sarangmat, Nagaraja; Green, Alexander L.; Litvak, Vladimir (2024-02-01) Magnetoencephalography (MEG) recordings are often contaminated by interference that can exceed the amplitude of physiological brain activity by several orders of magnitude. Furthermore, the activity of interference sources...
WORD INTERNAL STRUCTURE IN CHINESE: EVENT STRUCTURE, PREDICATE-ARGUMENT STRUCTURE AND CATEGORIES IN SEPARABLE VERBS Kao, Tzu-Ching; Bozşahin, Hüseyin Cem; Department of Cognitive Sciences (2024-2) The study of Chinese separable verbs has long been one of the unresolved and under-debated challenges in the field of Chinese linguistics due to their indivisible semantics, yet decomposable syntactic behaviors of separabl...
PathFinder - An Intelligent Algorithm for MCDC Test-Path Generation Şimşekoğlu, İsmail; Koçyiğit, Altan; Department of Software Management (2024-1-31) Introducing Pathfinder, an innovative automated tool designed for generating comprehensive test cases in the realm of C language source codes. The primary objective is to fulfill Modified Condition/Decision Coverage (MC/DC...
Smart Contract Vulnerabilities Özgen, Mustafa Uğur; Tezcan, Cihangir; Department of Cybersecurity (2024-1-26) Various industries, particularly financial technologies, are adopting blockchain to create decentralized applications through smart contracts due to its popularity and features such as immutability, pseudo-anonymity, trans...
Analyzing decision making behaviour under risk and uncertainty with the help of computational cognitive modeling and neuroscience perspectives Bulur, Hatice Gonca; Çakır, Murat Perit; Department of Cognitive Science (2024-1-26) This study aims to understand individuals' decision making behaviour under risk and uncertainty by bringing insights from computational cognitive modeling and neuroscience perspectives. More specifically, it investigates c...
A GENERIC BLOCKCHAIN PROCESS REFERENCE MODEL FOR SOFTWARE DEVELOPMENT IN SAFETY CRITICAL DOMAINS Baysal, Merve Vildan; Özcan Top, Özden; Betin Can, Aysu; Department of Information Systems (2024-1-26) In recent years, blockchain technology has garnered significant interest and shown promises in various safety critical domains such as health, automotive, and energy. In safety critical domains, any failure or malfunction ...
Predicting Alzheimer's Disease Stage Transformations 12 Months in Advance using 3D Convolutional LSTM based on 3D Magnetic Resonance Images Erdemir, Elifnur; Aydın Son, Yeşim; Department of Medical Informatics (2024-1-25) This study evaluates the ability to predict the transition from the healthy cognitive stage to the Alzheimer's stage using a 3D LSTM model. The model was trained on a data set created from MR images taken at different time...
Process, Technology and Human Aspects of a Security Operations Center Erdıvan, Cem; Acar, Aybar Can; Department of Cybersecurity (2024-1-24) This report presents the high level aspects of any security operations center and tries to define a baseline for SOC processes, technologies to be used and roles to be assigned for an effective and efficient service. This ...
Prediction of Covid-19 risk of a person by analyzing computed tomography images using convolutional neural networks Topçu, Kaan; Acar, Aybar Can; Department of Information Systems (2024-1-24) In this thesis, 4 main research questions are answered to evaluate the performance of convolutional neural networks (CNN) in predicting Covid-19 risk by using computed tomography (CT) images. The CT images by Yang et al., ...
CROSS-DISCIPLINARITY IN COGNITIVE SCIENCE: A DOCUMENT SIMILARITY ANALYSIS Alaşehir, Oğuzhan; Çakır, Murat Perit; Acartürk, Cengiz; Department of Information Systems (2024-1-22) Systematic quantification of cross-disciplinarity necessitates bibliometric and spatial analysis, socio-institutional aspects, or text-based techniques. Especially, with the advancement in bibliometric methods, a variety o...

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