‪Alperen Bağ‬ - ‪Google Scholar‬

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202220232 2

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Co-authors

Arzucan OzgurDepartment of Computer Engineering, Bogazici UniversityVerified email at boun.edu.tr
Elif OzkirimliHead of Data Science and Advanced Analytics, RocheVerified email at boun.edu.tr
Rıza ÖzçelikPh.D. Candidate, Biomedical Engineering, Eindhoven University of TechnologyVerified email at tue.nl
Berk AtılPhD Student, Computer Science and Engineering, Pennsylvania State UniversityVerified email at psu.edu

Alperen Bağ

Alperen Bağ

Technical University of Munich

Verified email at tum.de

Computer Vision Bio-informatics Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
DebiasedDTA: Model debiasing to boost drug-target affinity prediction R Ozçelik, A Bag, B Atıl, A Ozgür, E Ozkirimli arXiv preprint arXiv:2107.05556, 2021	3*	2021
A Computational Software for Training Robust Drug–Target Affinity Prediction Models: pydebiaseddta M Barsbey, R Özçelik, A Bağ, B Atil, A ÖZgür, E Ozkirimli Journal of Computational Biology 30 (11), 1240-1245, 2023	1	2023
A Framework for Improving the Generalizability of Drug–Target Affinity Prediction Models R Özçelik, A Bağ, B Atil, Mİ Barsbey, A ÖZgür, E Ozkirimli Journal of Computational Biology 30 (11), 1226-1239, 2023		2023
Discovering Multiple and Diverse Directions for Cognitive Image Properties U Kocasari, A Bag, OK Yuksel, P Yanardag arXiv preprint arXiv:2202.11772, 2022		2022
Exploring Latent Dimensions of Crowd-sourced Creativity U Kocasari, A Bag, E Atici, P Yanardag 5th Workshop on Machine Learning for Creativity and Design (NeurIPS 2021), 2021		2021

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