Yazar "Kuş, Zeki" için WOS İndeksli Yayınlar / WOS Indexed Publications listeleme
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BaDENAS: Retina Damar Segmentasyonu için Bayes Tabanlı Sinir Mimarisi Arama
Kuş, Zeki; Kiraz, Berna (IEEE, 2023)Retinal damar segmentasyonu, retinal görüntülerin analizi için önemli bir görevdir ve göz hastalıklarının teşhisinde ve tedavisinde kullanılan etkili bir araçtır. Damar segmentasyonunu otomatik hale getiren U-Net gibi derin ... -
Bi-criteria Simulated Annealing for the Curriculum-based Course Timetabling Problem With Robustness Approximation
Akkan, Can; Gülcü, Ayla; Kuş, Zeki (Springer, 2022)In the process of developing a university’s weekly course timetable, changes in the data, such as the available time periods of professors or rooms, render the timetable infeasible, requiring the administrators to repair ... -
Differential Evolution-Based Neural Architecture Search for Brain Vessel Segmentation
Kuş, Zeki; Kiraz, Berna; Göksu, Tuğçe Koçak; Aydın, Musa; Özkan, Esra; Vural, Atay; Kiraz, Alper; Can, Burhanettin (Elsevier, 2024)Brain vasculature analysis is critical in developing novel treatment targets for neurodegenerative diseases. Such an accurate analysis cannot be performed manually but requires a semi-automated or fully-automated approach. ... -
Evolutionary Architecture Optimization for Retinal Vessel Segmentation
Kuş, Zeki; Kiraz, Berna (IEEE, 2023)Retinal vessel segmentation (RVS) is crucial in medical image analysis as it helps identify and monitor retinal diseases. Deep learning approaches have shown promising results for RVS, but designing optimal neural network ... -
Hücre Canlılığı Tespitinde Yapay Öğrenme Yaklaşımları
Kaya, Zeliha; Kuş, Zeki; Kiraz, Berna; Uludağ, Gönül (IEEE, 2023)Hücre canlılığı, kök hücre tedavileri, kanser tedavileri, estetik ve kozmetik gibi klinik araştırmalarda önemli yer tutmaktadır. Doğru tedavi ve yaklaşımın uygulanabilmesi için alınan örnekteki toplam hücre canlılık oranı ... -
Hyper-Parameter Selection in Convolutional Neural Networks Using Microcanonical Optimization Algorithm
Gülcü, Ayla; Kuş, Zeki (The Institute of Electrical and Electronics Engineers, 2020)The success of Convolutional Neural Networks is highly dependent on the selected architecture and the hyper-parameters. The need for the automatic design of the networks is especially important for complex architectures ... -
Minimum Penalty Perturbation Heuristics for Curriculum-Based Timetables Subject to Multiple Disruptions
Akkan, Can; Gülcü, Ayla; Kuş, Zeki (Elsevier, 2021)Course timetables are often rendered infeasible due to unexpected changes in requirements and must be repaired. Given an initial timetable, planners prefer a repaired timetable whose quality is worsened as little as possible ... -
Multi-Objective Simulated Annealing for Hyper-Parameter Optimization in Convolutional Neural Networks
Gülcü, Ayla; Kuş, Zeki (PeerJ, Inc., 2021)In this study, we model a CNN hyper-parameter optimization problem as a bi-criteria optimization problem, where the first objective being the classification accuracy and the second objective being the computational ... -
Novel Surrogate Measures Based on a Similarity Network for Neural Architecture Search
Kuş, Zeki; Akkan, Can; Gülcü, Ayla (IEEE, 2023)We propose two novel surrogate measures to predict the validation accuracy of the classification produced by a given neural architecture, thus eliminating the need to train it, in order to speed up neural architecture ... -
Search Space Sampling by Simulated Annealing for Identifying Robust Solutions in Course Timetabling
Akkan, Can; Gülcü, Ayla; Kuş, Zeki (Institute of Electrical and Electronics Engineers Inc., 2020)For many combinatorial optimization problems, it is important to identify solutions that can be repaired without degrading solution quality in case changes in the data associated with the constraints make the initial ...