| Hyper-parameter selection in convolutional neural networks using microcanonical optimization algorithm A Gülcü, Z Kuş IEEE Access 8, 52528-52540, 2020 | 40 | 2020 |
| Konvolüsyonel sinir ağlarında hiper-parametre optimizasyonu yöntemlerinin incelenmesi A Gülcü, KUŞ Zeki Gazi University Journal of Science Part C: Design and Technology 7 (2), 503-522, 2019 | 35 | 2019 |
| Multi-objective simulated annealing for hyper-parameter optimization in convolutional neural networks A Gülcü, Z Kuş PeerJ Computer Science 7, e338, 2021 | 16 | 2021 |
| A survey of hyper-parameter optimization methods in convolutional neural networks A Gülcü, Z Kuş Gazi Üniversitesi Fen Bilimleri Dergisi 7 (2), 503-522, 2019 | 12 | 2019 |
| Mikrokanonikal optimizasyon algoritması ile konvolüsyonel sinir ağlarında hiper parametrelerin optimize edilmesi Z Kuş Fatih Sultan Mehmet Vakıf Üniversitesi, Lisansüstü Eğitim Enstitüsü, 2019 | 11 | 2019 |
| Bi-criteria simulated annealing for the curriculum-based course timetabling problem with robustness approximation C Akkan, A Gülcü, Z Kuş Journal of Scheduling 25 (4), 477-501, 2022 | 7 | 2022 |
| Minimum penalty perturbation heuristics for curriculum-based timetables subject to multiple disruptions C Akkan, A Gülcü, Z Kuş Computers & Operations Research 132, 105306, 2021 | 6 | 2021 |
| Neural architecture search using metaheuristics for automated cell segmentation Z Kuş, M Aydın, B Kiraz, B Can Metaheuristics International Conference, 158-171, 2022 | 5 | 2022 |
| Evolutionary Architecture Optimization for Retinal Vessel Segmentation Z Kuş, B Kiraz IEEE Journal of Biomedical and Health Informatics, 2023 | 4 | 2023 |
| Differential evolution-based neural architecture search for brain vessel segmentation Z Kuş, B Kiraz, TK Göksu, M Aydın, E Özkan, A Vural, A Kiraz, B Can Engineering Science and Technology, an International Journal 46, 101502, 2023 | 3 | 2023 |
| Yapay Sinir Ağları, Kelime Vektörleri ve Derin Öğrenme Uygulamaları E Koç, S Çalışkan, SA Yazıcıoğlu, U Demirci, Z Kuş FSM Vakıf Üniversitesi, 2018 | 3 | 2018 |
| Search space sampling by simulated annealing for identifying robust solutions in course timetabling C Akkan, A Gülcü, Z Kuş 2020 IEEE Congress on Evolutionary Computation (CEC), 1-10, 2020 | 2 | 2020 |
| Novel surrogate measures based on a similarity network for neural architecture search Z Kuş, C Akkan, A Gülcü IEEE Access 11, 22596-22613, 2023 | 1 | 2023 |
| Neural architecture search using differential evolution in MAML framework for few-shot classification problems A Gülcü, Z Kuş Metaheuristics International Conference, 143-157, 2022 | 1 | 2022 |
| Disruption scenarios for multiple disruption types for the curriculum-based course timetabling problem of ITC-2007 C Akkan, A Gülcü, Z Kuş | 1 | 2020 |
| Evrimsel Algoritmalar ve Uygulamaları E Koç, S Çalışkan, U Demirci, Z Kuş FSM Vakıf Üniversitesi, 2017 | 1 | 2017 |
| BaDENAS: Bayesian Based Neural Architecture Search for Retinal Vessel Segmentation Z Kuş, B Kiraz 2023 31st Signal Processing and Communications Applications Conference (SIU …, 2023 | | 2023 |
| Machine Learning Approaches for Cell Viability Z Kaya, Z Kuş, B Kiraz, G Uludağ 2023 31st Signal Processing and Communications Applications Conference (SIU …, 2023 | | 2023 |
| Triplet MAML for Few-Shot Classification Problems A Gülcü, İTS Özkan, Z Kuş, OF Karakuş International Conference on Advanced Engineering, Technology and …, 2023 | | 2023 |
| Check for updates Neural Architecture Search Using Metaheuristics for Automated Cell Segmentation Z Kuş, M Aydın, B Kiraz, B Can Metaheuristics: 14th International Conference, MIC 2022, Syracuse, Italy …, 2023 | | 2023 |
