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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 ...
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...
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...
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...
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...
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...
Unveiling hidden connections in omics data via pyPARAGON: an integrative hybrid approach for disease network construction Arici, Muslum Kaan; Tunçbağ, Nurcan (2024-09-01) Network inference or reconstruction algorithms play an integral role in successfully analyzing and identifying causal relationships between omics hits for detecting dysregulated and altered signaling components in various ...
landusemix: A Python package for calculating land use mix Akyol, Mehmet Ali; Duzgun, Sebnem; Baykal, Nazife (2024-09-01) Integrating different land uses within a geographic area is essential to urban planning and development. Accurate and fast land use mix (LUM) measurement is necessary for evaluating urban diversity and sustainability. In t...
Effects of biophilic design on sustainable behaviors: introducing the use of serious game as a measure of sustainable behavior Ozgen Turan, Dilay Seda; Afacan, Yasemin; Sürer, Elif (2024-09-01)
A Multi-Criteria Decision Support Tool for Shared Decision Making in Clinical Consultation TUNCER ŞAKAR, CEREN; Keith-Jopp, Chloe; Yet, Barbaros; Joyner, Christopher; Hill, Adele; Roberts, James; Marsh, William; Morrissey, Dylan (2024-09-01) In clinical consultation, Shared Decision Making (SDM) between the patient and clinician can inform the patient about available treatment options, likely harms and benefits in order to reach a joint decision that accommoda...
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...
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...
Identification of Land Use Mix Using Point-Based Geospatial Data in Urban Areas Akyol, Mehmet Ali; Taşkaya Temizel, Tuğba; Duzgun, Sebnem; Baykal, Nazife (2024-08-01) Identifying land use mix (LUM) in urban areas is challenging, often requiring extensive human intervention and fieldwork. Accurate classification of LUM is crucial for various disciplines, including urban planning, urban e...
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)...

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