| Modeling and predicting binding affinity of phencyclidine‐like compounds using machine learning methods O Erdas, E Buyukbingol, FN Alpaslan, A Adejare Journal of Chemometrics: A Journal of the Chemometrics Society 24 (1), 1-13, 2010 | 12 | 2010 |
| Experimental assessment of the performance of data augmentation with generative adversarial networks in the image classification problem ÖÖ Karadağ, ÖE Çiçek 2019 Innovations in Intelligent Systems and Applications Conference (ASYU), 1-4, 2019 | 9 | 2019 |
| Three-dimensional analysis of binding sites for predicting binding affinities in drug design O Erdas-Cicek, AO Atac, AS Gurkan-Alp, E Buyukbingol, FN Alpaslan Journal of Chemical Information and Modeling 59 (11), 4654-4662, 2019 | 7 | 2019 |
| Evaluation of the robustness of deep features on the change detection problem ÖÖ Karadağ, Ö Erdaş 2018 26Th signal processing and communications applications conference (SIU …, 2018 | 7 | 2018 |
| Compressed images for affinity prediction (CIFAP): a study on predicting binding affinities for checkpoint kinase 1 protein inhibitors O Erdas, CA Andac, A Selen Gurkan‐Alp, FN Alpaslan, E Buyukbingol Journal of Chemometrics 27 (6), 155-164, 2013 | 6 | 2013 |
| Compressed images for affinity prediction-2 (CIFAP-2): an improved machine learning methodology on protein–ligand interactions based on a study on caspase 3 inhibitors O Erdas, CA Andac, AS Gurkan-Alp, FN Alpaslan, E Buyukbingol Journal of Enzyme Inhibition and Medicinal Chemistry 30 (5), 809-815, 2015 | 3 | 2015 |
| K En Yakın Komşu Algoritması ile Binalarda Enerji Verimliliği Tahmini M Hacıbeyoglu, M Çelik, ÖE Çiçek Necmettin Erbakan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi 5 (2), 65-74, 2023 | 2 | 2023 |
| An application of CIFAP for predicting the binding affinity of Chk1 inhibitors derived from 2‐aminothiazole‐4‐carboxamide D Konyar, O Erdas, FN Alpaslan, E Buyukbingol Journal of Molecular Recognition 30 (11), e2642, 2017 | 2 | 2017 |
| Empirical evaluation of the effectiveness of variational autoencoders on data augmentation for the image classification problem OO Karadag, OE Cicek International Journal of Intelligent Systems and Applications in Engineering …, 2020 | 1 | 2020 |
| Predicting the binding affinities of drug-protein interaction by analyzing the images of binding sites Ö Erdaş Middle East Technical University, 2013 | 1 | 2013 |
| Machine Learning Studies in Business During the COVID-19 Pandemic OE Cicek Innovation Capabilities and Entrepreneurial Opportunities of Smart Working …, 2024 | | 2024 |
| Innovation Capabilities and Entrepreneurial Opportunities of Smart Working B Orlando IGI Global, 2023 | | 2023 |
| Protein-Drug Binding Analysis Using Change Detection on Binding Site Images Ö Erdaş, ÖÖ Karadağ 2018 Innovations in Intelligent Systems and Applications Conference (ASYU), 1-4, 2018 | | 2018 |
| Parameter Estimation for Dynamic Volume Spline Based Facial Skin Model İ Ulusoy, E Akagündüz, Ö Erdaş, M Durmaz, GW Weber | | |
Erdem BuyukbingolFaculty at Ankara University, Pharmacy, Department of Pharmaceutical Chemistry在 pharmacy.ankara.edu.tr 的电子邮件经过验证
