Department of Computer Engineering, Article

Item Usage Stats

Browse

Search within this collection:

Filters

Entity Type
Publication (887)

Has File(s)
No (635)
Yes (252)

Author
Yazıcı, Adnan (72)
Polat, Faruk (57)
Toroslu, İsmail Hakkı (50)
Karagöz, Pınar (48)
Oğuztüzün, Mehmet Halit S. (38)

Subject
Software (100)
Artificial Intelligence (73)
Computer Science Applications (69)
Information Systems (45)
Electrical and Electronic Engineering (40)

Date Issued
1987 - 1989 (7)
1990 - 1999 (43)
2000 - 2009 (198)
2010 - 2019 (392)
2020 - 2026 (247)

Item Type
Journal Article (750)
Article (5)
Conference Paper (1)

Recent Submissions

Firearm brand classification using deep learning on cartridge case images Meral, Edanur; Akyüz, Ahmet Oğuz (2026-02-01) When a firearm is discharged, it leaves characteristic marks on the cartridge case, which are analyzed in forensic ballistics to identify the firearm. Conventional ballistic examination systems rely on high-quality images ...
CAPIM: Catalytic activity and site prediction and analysis tool in multimer proteins Özsarı, Gökhan; García-Soriano, Daniela A.; Parate, Shraddha; el Issaoui, Amar; Wittung-Stafshede, Pernilla (2025-11-01) Enzymes play a fundamental role in living organisms by catalyzing vital chemical reactions. While much is known about enzyme function, a substantial portion of the proteome remains uncharacterized. Computational tools have...
Task assignment strategies for capacitated agents engaged in lifelong pickup and delivery tasks Çilden, Evren; Polat, Faruk (2025-11-01) In this study, we tackled the task assignment problem in the capacity-enhanced version of Multi-Agent Pickup and Delivery (MAPD), a lifelong variant of the classical Multi-Agent Path Finding (MAPF) problem. Capacity-enhanc...
DARKIN: a zero-shot benchmark for phosphosite–dark kinase association using protein language models Sunar, Emine Ayşe; Işık, Zeynep; Pekey, Mert; Cinbiş, Ramazan Gökberk; Tastan, Oznur (2025-11-01) Motivation: Protein language models (pLMs) have emerged as powerful tools for capturing the intricate information encoded in protein sequences, facilitating various downstream protein prediction tasks. With numerous pLMs a...
Generalized variational autoencoders for learning disentangled representation Moğultay, Hazal; KALKAN, SİNAN; Vural, Fatos T. Yarman (2025-10-14) The major goal of disentangled representation learning is to form representation space, which independently captures the underlying sources of variation, responsible for generating the data. A pioneering approach is sugges...
Preselection and diversity in PSO Akan, Yurdusev Yakup; Herrmann, J. Michael (2025-10-08) Particle swarm optimization (PSO) is a popular metaheuristic algorithm that is theoretically well understood, but its full potential does not yet seem to have been realized. While diversity is a critical issue in all popul...
Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art Miri Rekavandi, Aref; Rashidi, Shima; Boussaid, Farid; Hoefs, Stephen; Akbaş, Emre; Bennamoun, Mohammed (2025-09-10) Transformers have rapidly gained popularity in computer vision, especially in the field of object detection. Upon examining the outcomes of state-of-the-art object detection methods, we noticed that transformers consistent...
Multimodal multimedia information retrieval through the integration of fuzzy clustering, OWA-based fusion, and Siamese neural networks Sattari, SİNAN; Kalkan, Sinan; Yazıcı, Adnan (2025-09-01) This paper presents an end-to-end, scalable, and flexible framework for multimodal multimedia information retrieval (MMIR). This framework is designed to handle multiple data modalities, such as visual, audio, and text, fr...
From Walking to Running: A Comprehensive Clock Torque Actuated SLIP Framework for Trotting in Quadrupedal Locomotion Akbaba, Mustafa; Saranlı, Uluç; Turgut, Ali Emre; Ankaralı, Mustafa Mert (2025-08-29) This paper presents a template-based control method for achieving diverse trotting motions in quadrupedal systems, with a focus on smooth transitions between walking trot, regular trot, and flying (running) trot. First, we...
HELP4DNS: Leveraging the programmable data plane for effective and robust defense against DDoS attacks on DNS Şahin, Mehmet Emin; DEMİRCİ, MEHMET (2025-08-01) DNS is a critical component of the Internet infrastructure, and securing it has been an active research domain, with a particular emphasis on countering DDoS attacks. With the rise of programmable data planes, novel defens...
Real-Time Secondary Animation with Spring Decomposed Skinning Akyürek, B.; Sahillioğlu, Yusuf (2025-08-01) We present a framework to integrate secondary motion into the existing animation pipelines. Skinning provides fast computation for real-time animation and intuitive control over the deformation. Despite the benefits, tradi...
Privacy-Preserving Clinical Decision Support for Emergency Triage Using LLMs: System Architecture and Real-World Evaluation Karamanlıoğlu, Alper; Demirel, Berkan; Tural, Onur; Doğan, Osman Tufan; Alpaslan, Ferda Nur (2025-08-01) This study presents a next-generation clinical decision-support architecture for Clinical Decision Support Systems (CDSS) focused on emergency triage. By integrating Large Language Models (LLMs), Federated Learning (FL), a...
WAIT: Feature warping for animation to illustration video translation using GANs Hicsonmez, Samet; Samet, Nermin; Samet, Fidan; Bakir, Oguz; Akbaş, Emre; DUYGULU ŞAHİN, PINAR (2025-07-07) In this paper, we explore a new domain for video-to-video translation. Motivated by the availability of animation movies that are adopted from illustrated books for children, we aim to stylize these videos with the style o...
Risk Management Based on Machine Learning Tekinbaş, Cihad; Alpaslan, Ferda Nur (2025-07-01) Efficient and effective risk management is a crucial factor for organizations as it enables in identifying and responding to potential threats that may impede the achievement of strategic organizational objectives. It help...
Machine learning based prediction of long-term energy consumption and overheating under climate change impacts using urban building energy modeling Canlı Akyol, Ilkim; Halaçlı, Eren Gökberk; Uçar, Şevval; Işeri, Orçun Koral; Yavuz, Feyza; Güney, Dilara; Gürsoy, Fatma Ece; Duran, Ayça; Akgül, ÇAĞLA; Kalkan, Sinan; Gürsel Dino, Ipek (2025-07-01)
Real-time discrete visibility fields for ray-traced dynamic scenes Günay, Beril; Akyüz, Ahmet Oğuz (2025-05-01) Environment lighting plays a crucial role in enhancing the realism of rendered images. As environment light sources are distributed over a sphere or hemisphere, the rendering process involves tracing multiple rays per pixe...
Neighborhood search with heuristic-based feature selection for click-through rate prediction Aksu, Dogukan; Toroslu, İsmail Hakkı; Davulcu, Hasan (2025-04-15) Click-through-rate (CTR) prediction is crucial in online advertising and recommender systems. Maximizing CTR has been a major focus, leading to the development of numerous models designed to capture implicit and explicit f...
An island-parallel ensemble metaheuristic algorithm for large graph coloring problems Coşar, Ahmet (2025-04-01) Graph Coloring Problem (GCP) is an NP-Hard vertex labeling problem in graphs such that no two adjacent vertices can have the same color. Large instances of GCP cannot be solved in reasonable execution times by exact al...
A concept-aware explainability method for convolutional neural networks Gurkan, Mustafa Kagan; Arica, Nafiz; Yarman Vural, Fatoş Tunay (2025-03-01) Although Convolutional Neural Networks (CNN) outperform the classical models in a wide range of Machine Vision applications, their restricted interpretability and their lack of comprehensibility in reasoning, generate many...
Colorectal cancer tumor grade segmentation: A new dataset and baseline results Arslan, Duygu; Sehlaver, Sina; Guder, Erce; Temena, Mehmet Arda; Bahcekapili, Alper; Ozdemir, Umut; Turkay, Duriye Ozer; Guner, Gunes; Guresci, Servet; SÖKMENSÜER, CENK; Akbaş, Emre; Acar, Ahmet (2025-02-28) Routine pathology assessment for the tumor grading is currently performed under the microscope by experienced pathologists which might be prone to interpersonal variability and requiring years of experience. Over the past ...

Citation Formats