Graduate School of Informatics, Article

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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...
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...
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...
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...
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...
Benchmarking kinship estimation tools for ancient genomes using pedigree simulations Akturk, Sevval; Mapelli, Igor; Guler, Murat; Gurun, Kanat; Katircioglu, Buesra; Vural, Kivilcim Basak; Saglican, Ekin; Cetin, Mehmet; Yaka, Reyhan; Sürer, Elif; Atag, Gozde; Cokoglu, Sevim Seda; Sevkar, Arda; Altinisik, N. Ezgi; Koptekin, Dilek; Somel, Mehmet (2024-04-27) There is growing interest in uncovering genetic kinship patterns in past societies using low-coverage palaeogenomes. Here, we benchmark four tools for kinship estimation with such data: lcMLkin, NgsRelate, KIN, and READ, w...
Designing human-centered learning analytics and artificial intelligence in education solutions: a systematic literature review Topali, Paraskevi; Ortega-Arranz, Alejandro; Rodriguez-Triana, Maria Jesus; Er, Erkan; Khalil, Mohammad; Ackapinar, Gokhan (2024-04-24) The recent advances in educational technology enabled the development of solutions that collect and analyse data from learning scenarios to inform the decision-making processes. Research fields like Learning Analytics (LA)...
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...
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...
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...
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...
Quasi-Newton FDE in One-Bit Pseudo-Randomly Quantized Massive MIMO-OFDM Systems Yılmaz, Gökçen; Yılmaz, Ali Özgür (2024-01-01) This letter offers a new frequency-domain equalization (FDE) scheme that can work with a pseudo-random quantization (PRQ) scheme utilizing non-zero threshold quantization in one-bit uplink multi-user massive multiple-input...
A Modular Serious Game Development Framework for Virtual Laboratory Courses Yucel, Furkan; Sultan Unal, Hasret; Sürer, Elif; Huvaj Sarıhan, Nejan (2024-01-01) Laboratory experience is an integral part of the undergraduate curriculum in most engineering courses. When physical learning is not feasible, and when the demand cannot be met through actual hands-on laboratory sessions, ...
Uncovering Engagement Profiles of Young Learners in K–8 Education through Learning Analytics Er, Erkan; Silik, Safak; Cansiz, Sergen (2024-01-01) E-learning platforms have become increasingly popular in K–8 education to promote student learning and enhance classroom teaching. Student interactions with these platforms produce trace data, which are digital records of ...

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