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Arezoo Bozorgmehr
Arezoo Bozorgmehr
Researcher and PHD Candidate
Verified email at ukbonn.de
Title
Cited by
Cited by
Year
A conceptual framework for clone detection using machine learning
J Ghofrani, M Mohseni, A Bozorgmehr
2017 IEEE 4th International Conference on Knowledge-Based Engineering and …, 2017
172017
Reusability in artificial neural networks: An empirical study
J Ghofrani, E Kozegar, A Bozorgmehr, MD Soorati
Proceedings of the 23rd International Systems and Software Product Line …, 2019
122019
Migration to microservices: Barriers and solutions
J Ghofrani, A Bozorgmehr
Applied Informatics: Second International Conference, ICAI 2019, Madrid …, 2019
122019
Chronic stress in practice assistants: An analytic approach comparing four machine learning classifiers with a standard logistic regression model
A Bozorgmehr, A Thielmann, B Weltermann
Plos one 16 (5), e0250842, 2021
112021
A Fast Algorithm Based on Apriori Algorithms to Explore the Set of Repetitive Items of Large Transaction Data
J Ghofrani, A Bozorgmehr, A Panah
Proceedings of the 2nd International Conference on Compute and Data Analysis …, 2018
12018
From Limited Data to Meaningful Insights
A Bozorgmehr
Universitäts-und Landesbibliothek Bonn, 2024
2024
The Predominance of the Health-Promoting Patterns of Work Behavior and Experience in General Practice Teams—Results of the IMPROVEjob Study
B Thielmann, A Wagner, A Bozorgmehr, E Rind, A Siegel, M Hippler, ...
Healthcare 12 (3), 299, 2024
2024
Prediction of Chronic Stress and Protective Factors in Adults: Development of an Interpretable Prediction Model Based on XGBoost and SHAP Using National Cross-sectional DEGS1 Data
A Bozorgmehr, B Weltermann
JMIR AI 2, e41868, 2023
2023
Cloud-efficient modelling and simulation of magnetic nano materials
P Ivanović
Dissertation, Clausthal-Zellerfeld, Technische Universität Clausthal, 2021, 2021
2021
Repository for Reusing Artifacts of Artificial Neural Networks
J Ghofrani, E Kozegar, MD Soorati, A Bozorgmehr, H Chen, M Naake
arXiv preprint arXiv:2003.13619, 2020
2020
19. Deutscher Kongress für Versorgungsforschung
A Bozorgmehr, S Nöst, J Szecsenyi, O Razum
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Articles 1–11