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Ozlem ERDAS CICEK
Ozlem ERDAS CICEK
Necmettin Erbakan University
Verified email at erbakan.edu.tr
Title
Cited by
Cited by
Year
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
122010
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
92019
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
72019
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
72018
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
62013
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
32015
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
22017
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
12020
Predicting the binding affinities of drug-protein interaction by analyzing the images of binding sites
Ö Erdaş
Middle East Technical University, 2013
12013
Machine Learning Studies in Business During the COVID-19 Pandemic
OE Cicek
Innovation Capabilities and Entrepreneurial Opportunities of Smart Working …, 2024
2024
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
K En Yakın Komşu Algoritması ile Binalarda Enerji Verimliliği Tahmini
M HACIBEYOGLU, M ÇELİK, ÖE ÇİÇEK
Necmettin Erbakan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi 5 (2), 28-37, 0
Parameter Estimation for Dynamic Volume Spline Based Facial Skin Model
İ Ulusoy, E Akagündüz, Ö Erdaş, M Durmaz, GW Weber
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