Graduate School of Informatics, Article

Browse
Search within this collection:

Filters

Entity Type
Publication (728)

Has File(s)
No (508)
Yes (220)

Author
Sürer, Elif (42)
Tunçbağ, Nurcan (39)
Atalay, Rengül (38)
Özkan Yıldırım, Sevgi (38)
Yet, Barbaros (37)

Subject
Software (18)
Computer Science Applications (13)
Bayesian networks (12)
Turkey (10)
Artificial Intelligence (8)

Date Issued
1988 - 1989 (1)
1990 - 1999 (16)
2000 - 2009 (97)
2010 - 2019 (345)
2020 - 2025 (269)

Item Type
Journal Article (636)
Other (12)
Article (6)
Conference Paper (3)
Magazin Article (1)

Recent Submissions

Data-driven alarm parameter optimization
Eylen, Tayfun; Eren, Pekin Erhan; Koçyiğit, Altan (2025-05-01)
Most manufacturing sector businesses utilize advanced control mechanisms to sustain their ongoing operations. An alarm management system is one of these control mechanisms that works as a safety barrier, and it contains al...
Class distance weighted cross entropy loss for classification of disease severity
Polat, Gorkem; Çağlar, Ümit Mert; Temizel, Alptekin (2025-04-01)
Assessing disease severity with ordinal classes, where each class reflects increasing severity levels, benefits from loss functions designed for this ordinal structure. Traditional categorical loss functions, like Cross-En...
Sustainable biodiesel production from oil crops: The impact of bio-nutrient recycling on yield and farmer technology acceptance
Özdemir, Serkan; Ozer, Hasan; Ozdemir, Saim; Dede, Omer Hulusi (2025-03-01)
Circular utilization of biowaste through biofuel production is a key priority for many waste-producing facilities seeking to internally supply biofuels and to reduce greenhouse gases. This study assesses the role of biowas...
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 ...
AI in the classroom: Exploring students' interaction with ChatGPT in programming learning
Guner, Hacer; Er, Erkan (2025-01-15)
As being more prevalent in educational settings, understanding the impact of artificial intelligence tools on student behaviors and interactions has become crucial. In this regard, this study investigates the dynamic inter...
Comprehensive whole-genome sequencing reveals origins of mutational signatures associated with aging, mismatch repair deficiency and temozolomide chemotherapy
Hwang, Taejoo; Sitko, Lukasz Karol; Khoirunnisa, Ratih; Navarro-Aguad, Fernanda; Samuel, David M.; Park, Hajoong; Cheon, Banyoon; Mutsnaini, Luthfiyyah; Lee, Jaewoong; Otlu Sarıtaş, Burçak; Takeda, Shunichi; Lee, Semin; Ivanov, Dmitri; Gartner, Anton (2025-01-13)
In a comprehensive study to decipher the multi-layered response to the chemotherapeutic agent temozolomide (TMZ), we analyzed 427 genomes and determined mutational patterns in a collection of ∼40 isogenic DNA repair-defici...
Impact of Land Use Change on Lake Pollution Dynamics: A Case Study of Sapanca Lake, Turkey
Özdemir, Serkan; Celebi, Ahmet; Dede, Gulgun; Maghrebi, Mohsen; Danandeh Mehr, Ali (2025-01-01)
Modeling non-point source pollution dynamics in inland lake basins is essential for safeguarding water quality, maintaining ecosystem integrity, protecting public health, and advancing long-term environmental sustainabilit...
Assessing student perceptions and use of instructor versus AI-generated feedback
Er, Erkan; AKÇAPINAR, GÖKHAN; BAYAZIT, ALPER; Noroozi, Omid; Banihashem, Seyyed Kazem (2024-12-27)
Despite the growing research interest in the use of large language models for feedback provision, it still remains unknown how students perceive and use AI-generated feedback compared to instructor feedback in authentic se...
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 ...
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...
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...
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...
Classification of System and Software Related FDA Medical Device Recalls with a Three-Level Taxonomy Approach: Defibrillator Case
Önder, Nazire Merve; Özcan Top, Özden (2024-12-01)
In the healthcare domain, where safety is paramount, medical device recalls are highly critical events that can pose significant risks to health. The U.S. Food and Drug Administration (FDA) maintains a comprehensive databa...
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, 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...
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)
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...
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...
Citation Formats