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...
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...
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...
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...
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...
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...
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)...
A computational study on accusativity and ergativity Demirel, Seda; Bozşahin, Hüseyin Cem; Department of Cognitive Sciences (2024-4-22) English is defined as an accusative language with Subject-Verb-Object (SVO) syntactic order. In this study, if children were exposed to hypothetical English, i.e. ergative English, rather than accusative English in the lan...
Can AI code like a human: A Critical analysis of AI’s understanding in code generation Akkuş, Sami; Bozşahin, Hüseyin Cem; Department of Cognitive Sciences (2024-4-22) Large language models (LLMs) are so popular that they have revolutionized many software develop- ment areas, including code generation. This thesis investigates GPT3.5's ability to achieve human-like understanding in code ...
A BROADCAST MODEL OF SPREAD OF DIGITAL MUSIC COMPOSITION AMONG ARTIFICIAL AUDIENCE KARABIYIK, EMRE; Bozşahin, Hüseyin Cem; Department of Cognitive Sciences (2024-4-22) This thesis explores a novel paradigm in the realm of digital music composition, presenting a comprehensive model that simulates the intricate social dynamics between composers, broadcasters, and artificial audiences. Empl...
MEANING, REFERENTIALITY AND DISTRIBUTION: A COMPUTATIONAL INVESTIGATION OF MARKERS IN GERMAN COMPOUNDING Çetintaş, Ali Eren; Bozşahin, Hüseyin Cem; Department of Cognitive Sciences (2024-4-22) Compounding is one of the known ways of word formation and it is available in many languages to some degree or another with crosslinguistic variations. It is also a productive way of word formation in German (Neef, 2009). ...
Özgecilik (Diğerkamlık) Davranışının İncelenmesi: Üniversite Öğrencileri Arasında Kişilik Özelliklerinin, Risk Tutumunun, Cinsiyetin ve COVID-19 Korkusunun Etkisi Şimşek, Şeyma; Özdemir, Özlem (2024-04-20)
AUTOMATED ANALYSIS OF CROSSING ACTIONS IN FOOTBALL COMMENTARY USING LARGE LANGUAGE MODELS Erkul, Anıl; Taşkaya Temizel, Tuğba; Department of Information System (2024-4-19) In football, well-executed crosses have a significant impact, directly creating about 15% of scoring opportunities in the top leagues of England, Italy, and France. This thesis focuses on the development of a comprehensive...
ANALYSIS OF MOBILE PAYMENT TECHNOLOGIES’ ADOPTION USING INTERPRETIVE STRUCTURAL MODELING: SOLIPAY CASE Koçak, Onur Ozan; Özkan Yıldırım, Sevgi; Department of Information Systems (2024-4-19) In today's fast-paced world, smartphones have become an indispensable part of modern life. They have also revolutionized the way payments are made. Carrying multiple physical cards or assets can be cumbersome for modern in...
Transformer models for translating natural language sentences into formal logical expressions Deveci, İbrahim Ethem; Zambak, Aziz Fevzi; Temürcü, Ceyhan; Department of Cognitive Sciences (2024-4-17) Translating natural language sentences into logical expressions has been challenging due to contextual information and the variational complexity of sentences. The task is not straightforward to handle using rule-based and...

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