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 |
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 | 11* | 2023 |
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 | 11 | 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 | 8 | 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 |
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 |
Predicting the binding affinities of drug-protein interaction by analyzing the images of binding sites Ö Erdaş Middle East Technical University, 2013 | 2 | 2013 |
DERİN ÖĞRENME İLE ASFALT ÇATLAKLARININ TESPİTİNDE VERİ ARTIRIMI VE EVRİŞİMSEL BLOK SEÇİMİNİN ETKİSİ Z Topbaş, ÖE Çiçek, Ş Gülcü Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi 11 (23), 172-189, 2024 | | 2024 |
Digitalization of Organizational Memory OE Cicek Driving Transformative Technology Trends With Cloud Computing, 88-115, 2024 | | 2024 |
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 |
Empirical Evaluation of the Effectiveness of Variational Autoencoders on Data Augmentation for the Image Classification Problem O Oztimur Karadag, O Erdas Cicek International Journal of Intelligent Systems and Applications 8 (2), 116-120, 2020 | | 2020 |
Combining Low-Level Image Features with Features from A Simple Convolutional Neural Network Ö Öztimur Karadağ, O Oztimur Karadag, Ö Erdaş, O Erdas Akıllı Sistemler ve Uygulamaları Dergisi 2 (2), 136-139, 2019 | | 2019 |
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 |
Evaluation of the robustness of deep features on the change detection problem Ö Öztimur Karadağ, Ö Erdaş Ieee, 2018 | | 2018 |
Bilgisayar Mühendisliği Bölümü, Alanya Alaaddin Keykubat Üniversitesi, Antalya, Türkiye ÖÖ Karadağ, Ö Erdaş | | |
K En Yakın Komşu Algoritması ile Binalarda Enerji Verimliliği Tahmini M HACIBEYOĞLU, M ÇELİK, ÖE ÇİÇEK | | |
Parameter Estimation for Dynamic Volume Spline Based Facial Skin Model İ Ulusoy, E Akagündüz, Ö Erdaş, M Durmaz, GW Weber | | |