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...
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)
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...
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...
Test Selection for Deep Neural Networks using Meta-Models with Uncertainty Metrics Demir, Demet; Betin Can, Aysu; Sürer, Elif (2024-09-16)
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...
Recent Advancements and Use Cases on Co-Creation, Procedural Content Generation, and Computational Creativity in Video Games Sürer, Elif (Routledge, London/New York , 2024-08-01) Artificial intelligence (AI) has deeply impacted our understanding of creativity and the human ability to generate creative outputs. New applications for creative tasks are rapidly evolving, and new tools are constantly be...
Exploring the Impact of Social Factors on Wayfinding and Visual Attention in a Virtual Airport Environment Orlu, Gökçe; İmamoğlu, Çağrı; Sürer, Elif (2024-07-02)
ENHANCING DNN TEST DATA SELECTION THROUGH UNCERTAINTY-BASED AND DATA DISTRIBUTION-AWARE APPROACHES Demir, Demet; Sürer, Elif; Betin Can, Aysu; Department of Information Systems (2024-7) In this thesis, we introduce a testing framework designed to identify fault-revealing data in Deep Neural Network (DNN) models and determine the causes of these failures. Given the data-driven nature of DNNs, the effecti...
METATRANSCRIPTOMICS ANALYSIS USING MICROBIOME RNA-SEQ DATA Köseoğlu, Aysu; Acar, Aybar Can; Department of Medical Informatics (2024-6-14) This project aimed to understand Coprothermobacter proteolyticus and explore meta transcriptomics analysis using microbiome RNA sequencing (RNA-seq). Additionally, the project emphasized the importance of training data for...
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...
AN INFORMATION SECURITY ASSESSMENT MODEL FOR VERY SMALL ENTITIES Bitlisli Erdivan, Halime Eda; Özcan Top, Özden; Department of Information Systems (2024-6-7) In today’s digital landscape, the significance of information security is undeniable for Very Small Entities (VSEs) just like larger corporations. Despite their size, VSEs handle sensitive data and must safeguard their ass...
THE CONCEPTUAL DESIGN AND IMPLEMENTATION OF A KNOWLEDGE MANAGEMENT SYSTEM FOR COLLABORATIVE DATA SCIENCE Civelek, Utku; Eren, Pekin Erhan; Department of Information Systems (2024-6-6) The new industrial revolution heavily depends on digital transformation. Companies strive to ameliorate or redesign their business processes with the help of digital technologies to preserve or attain competitive advantage...
Prediction of Non-Coding Driver Mutations Using Ensemble Learning Basharat, Sana; Otlu Sarıtaş, Burçak; Data Informatics (2024-6) Driver coding mutations are extensively studied and frequently detected due to their deleterious amino acid changes that affect protein function. However, driver non-coding mutations need further analysis and experimental ...
A novel content-based retrieval system for hyperspectral remote sensing imagery Ömrüuzun, Fatih; Yardımcı Çetin, Yasemin; Leloğlu, Uğur Murat; Department of Information Systems (2024-5-27) Due to the increased use of hyperspectral remote sensing payloads, there has been a rise in the number of hyperspectral remote sensing image archives, resulting in a massive amount of collected data. This highlights the ne...
A meta synthesis on cloud task scheduling algorithms: COVID-19 and onwards Aksöz, Ata Hüseyin; Özkan Yıldırım, Sevgi; Department of Information Systems (2024-5-27) This thesis seeks to analyze different task scheduling algorithms proposed for Cloud Computing field and categorize such algorithms for different use cases. It is hypothesized that COVID-19 pandemic had huge impact on Clou...
EXPLORING THE IMPACT OF IT GOVERNANCE MECHANISMS ON IT AGILITY CAPABILITIES AND CONSEQUENCES OF CENTRALIZATION OF IT GOVERNANCE Sarı, Burçin; Özkan Yıldırım, Sevgi; Mandviwalla, Munir; Department of Information Systems (2024-5-22) As information technology (IT) budgets continue to rise and IT’s centrality in businesses grows, effective IT governance (ITG) has become crucial for organizations aiming to swiftly respond to environmental shifts and seiz...
Image-based malware family classification with deep learning and a new dataset Mutlu, Emre; Tezcan, Cihangir; Department of Cybersecurity (2024-5) Security breaches and incidents due to malware, which is still exponentially evolving in sophistication, continue to increase and will likely be a significant security concern in the future. Moreover, generating a large nu...
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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