Graduate School of Informatics

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Temizel, Alptekin (103)
Özkan Yıldırım, Sevgi (96)
Eren, Pekin Erhan (95)
Sürer, Elif (95)
Acartürk, Cengiz (85)

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2020 - 2024 (779)

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Conference Paper (813)
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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...
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 ...
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...
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). ...
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...
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...
Gürakın, Zeynep; Özcan Top, Özden; Alkış Bayhan, Nurcan; Department of Information System (2024-4-04)
Ongoing gender inequalities the in the Information Technology (IT) industry emphasize the need for aimed interventions to promote gender equality in the world. Despite advancements in technology and societal attitudes, sys...
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...
Efficient primer design for genotype and subtype detection of highly divergent viruses in large scale genome datasets
Demiralay, Burak; Acar, Aybar Can; Department of Medical Informatics (2024-3-11)
Identification of microorganisms is a crucial step in diagnostics, pathogen screening, biomedical research, evolutionary studies, agriculture, and biological threat assessment. While progress has been made in studying larg...
Investigating Mind Perception in HRI through Real-Time Implicit and Explicit Measurements
Pekçetin, Tuğçe Nur; Acartürk, Cengiz; Urgen, Burcu A. (2024-03-11)
Social robots have revolutionized social interaction and communication. This study explores our perception of robots, focusing on the factors influencing evaluations of Agency and Experience - two dimensions of mind percep...
Real-World Implicit Association Task for Studying Mind Perception: Insights for Social Robotics
Pekçetin, Tuğçe Nur; Evsen, Şeyda; Pekçetin, Serkan; Acartürk, Cengiz; Urgen, Burcu A. (2024-03-11)
In response to the growing demand for enhanced integration of implicit measurements in Human-Robot Interaction (HRI) research, the need for studies involving physically present robots, and the calls for a transition from l...
A Naturalistic Laboratory Setup for Real-World HRI Studies
Pekçetin, Tuğçe Nur; Evsen, Şeyda; Pekçetin, Serkan; Karaduman, Tuvana Dilan; Acartürk, Cengiz; Urgen, Burcu A. (2024-03-11)
We present our novel naturalistic laboratory setup that facilitates the presentation of real-world live-action stimuli by physically present actors in a controlled manner. Participants observe live-action stimuli through a...
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...
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