| Transfer learning-based convolutional neural network for COVID-19 detection with X-ray images K Sahinbas, FO Catak Data science for COVID-19, 451-466, 2021 | 116 | 2021 |
| Data augmentation based malware detection using convolutional neural networks FO Catak, J Ahmed, K Sahinbas, ZH Khand Peerj computer science 7, e346, 2021 | 78 | 2021 |
| Malicious url detection using machine learning FO Catak, K Sahinbas, V Dörtkardeş Artificial intelligence paradigms for smart cyber-physical systems, 160-180, 2021 | 33 | 2021 |
| Secure multi-party computation-based privacy-preserving data analysis in healthcare IoT systems K Sahinbas, FO Catak Interpretable Cognitive Internet of Things for Healthcare, 57-72, 2023 | 17 | 2023 |
| Employee promotion prediction by using machine learning algorithms for imbalanced dataset K Şahinbaş 2022 2nd International Conference on Computing and Machine Intelligence …, 2022 | 14 | 2022 |
| Catak FO Data Science for COVID-19 K Sahinbas Amsterdam, Netherland: Elsevier, 2021 | 12 | 2021 |
| A generative model based adversarial security of deep learning and linear classifier models S Sivaslioglu, K Sahinbas arXiv preprint arXiv:2010.08546, 2020 | 10 | 2020 |
| Human-in-the-loop enhanced COVID-19 detection in transfer learning-based CNN models FO Catak, K Şahinbaş Computational Intelligence for COVID-19 and Future Pandemics: Emerging …, 2022 | 6 | 2022 |
| Price Prediction Model for Restaurants In Istanbul By Using Machine Learning Algorithms K Şahinbaş Ekonomi İşletme ve Maliye Araştırmaları Dergisi 4 (2), 159-171, 2022 | 3 | 2022 |
| SEIR Based Epidemic Modeling of COVID-19 in Turkey K Şahinbaş, F Çatak Avrupa Bilim ve Teknoloji Dergisi, 306-310, 2022 | 3 | 2022 |
| Performance Comparison of K-Means and DBSCAN Methods for Airline Customer Segmentation K Şahinbaş Black Sea Journal of Engineering and Science 5 (4), 158-165, 2022 | 2 | 2022 |
| Dengesiz klinik veriler için karar destek önerisi: Akut apandisit örneği K Şahinbaş, S Gülseçen Doktora Tezi), İstanbul: İstanbul Üniversitesi Fen Bilimleri Enstitüsü, 2019 | 2 | 2019 |
| Customer Segmentation in the Retail Sector: A Data Analytics Approach K Şahinbaş, FO Catak 2022 14th International Conference on Intelligent Human-Machine Systems and …, 2022 | 1 | 2022 |
| Data analysis of the top universities in the ranking via the topsis model K Şahinbaş, A Keskin Tarsus Üniversitesi Uygulamalı Bilimler Fakültesi Dergisi 2 (2), 130-143, 2022 | 1 | 2022 |
| Gerçek Hayat Verileriyle Makine Öğrenmesi Algoritmalarına Dayalı Otobüs Durak Süresi Tahmini K Şahinbaş Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi 13 (3), 421-428, 2022 | 1 | 2022 |
| Otel rezervasyon iptal tahmin modelinin veri madenciliği algoritmaları ile uygulanması K Şahinbaş, O Doguc Selçuk Turizm ve Bilişim Araştırmaları Dergisi 1 (2), 15-24, 2022 | 1 | 2022 |
| Predicting Order Cancellations for E-Commerce Domain: A Proposed Model Based on Retailing Experience K Şahinbaş İnsan ve Toplum Bilimleri Araştırmaları Dergisi 11 (3), 1493-1514, 2022 | 1 | 2022 |
| Business Intelligence Application in the Natural Gas Industry: A Company Case K Şahinbaş, B Yılmaz Strategic Approaches to Energy Management, 141-154, 2021 | 1 | 2021 |
| İş Süreçlerinin Otomasyonunda Analitik Hiyerarşi Süreci Yöntemiyle Yazılım Seçimi İçin Karar Destek Sistemi O Doguc, K Şahinbaş Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi 16 (1), 87-93, 0 | 1 | |
| Non-cryptographic privacy preserving machine learning methods: a review K Şahinbaş, FO Catak, M Kuzlu, M Tabassum, S Sarp International Conference on Advanced Engineering, Technology and …, 2023 | | 2023 |
