Anamaria Mojica-Hanke
Anamaria Mojica-Hanke
PhD Student, Universidad de los Andes, Bogotá, Colombia
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Cited by
Cited by
Shallow or deep? An empirical study on detecting vulnerabilities using deep learning
A Mazuera-Rozo, A Mojica-Hanke, M Linares-Vásquez, G Bavota
2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC …, 2021
What are the Machine Learning best practices reported by practitioners on Stack Exchange?
A Mojica-Hanke, A Bayona, M Linares-Vásquez, S Herbold, FA González
arXiv preprint arXiv:2301.10516, 2023
Hall-of-apps: The top android apps metadata archive
L Bello-Jiménez, C Escobar-Velásquez, A Mojica-Hanke, ...
Proceedings of the 17th International Conference on Mining Software …, 2020
Crème de la crème. Investigating Metadata and Survivability of Top Android Apps
A Mojica-Hanke, L Bello-Jiménez, C Escobar-Velásquez, ...
2022 IEEE International Conference on Software Analysis, Evolution and …, 2022
On Using Information Retrieval to Recommend Machine Learning Good Practices for Software Engineers
L Cabra-Acela, A Mojica-Hanke, M Linares-Vásquez, S Herbold
Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023
Towards machine learning guided by best practices
A Mojica-Hanke
arXiv preprint arXiv:2305.00233, 2023
An exploratory study of bug-introducing changes: what happens when bugs are introduced in open source software?
L Schulte, A Mojica-Hanke, M Linares-Vásquez, S Herbold
arXiv preprint arXiv:2304.05358, 2023
Detection of android material components in application usage videos
AI Mojica Hanke, SY Velásquez Yepes
Universidad de los Andes, 2017
Detection of Android Material Components in Application Usage Videos
AIM Hanke
Uniandes, 2017
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