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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...
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...
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 ...
The role of spatial uncertainty in the context-specific proportion congruency effect BOZKURT, ÖZGE; Mısırlısoy, Mine; Atalay, Nart Bedin (2024-01-01) The prime-probe version of the Stroop task has been predominantly used to demonstrate the context-specific proportion congruency (CSPC) effect. In this version, the location of the color is not known until its presentation...
Maximizing the impact of dialogic peer feedback on student engagement: The role of regulation support Tseng, Sheng-Shiang; Er, Erkan (2024-01-01) The absence of instructional support during peer feedback prevents students from engaging with peer feedback. This study adopted regulated dialogic feedback as the instructional foundation and investigated its impact on st...
Decoding Video Logs: Unveiling Student Engagement Patterns in Lecture Capture Videos AKÇAPINAR, GÖKHAN; Er, Erkan; BAYAZIT, ALPER (2024-01-01) Lecture capture videos, a popular type of instructional content used by instructors to share course recordings online, play a significant role in educational settings. Compared to other educational videos, these recordings...
CLOUD-QM: a quality model for benchmarking cloud-based enterprise information systems Şener, Umut; GÖKALP AYDIN, EBRU; Eren, Pekin Erhan (2024-01-01) Organizations are increasingly migrating from on-premise enterprise information systems (EIS) to cloud products due to cloud computing benefits, such as flexibility, elasticity, and on-demand service. However, identifying ...
Geographic variation of mutagenic exposures in kidney cancer genomes Senkin, Sergey; et. al. (2024-01-01) International differences in the incidence of many cancer types indicate the existence of carcinogen exposures that have not yet been identified by conventional epidemiology make a substantial contribution to cancer burden...

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