Automated management of deep learning experiments G Gharibi, V Walunj, R Alanazi, S Rella, Y Lee Proceedings of the 3rd International workshop on data management for end-to …, 2019 | 34 | 2019 |
Automatic hierarchical clustering of static call graphs for program comprehension G Gharibi, R Alanazi, Y Lee 2018 IEEE International conference on big data (Big Data), 4016-4025, 2018 | 23 | 2018 |
Facilitating program comprehension with call graph multilevel hierarchical abstractions R Alanazi, G Gharibi, Y Lee Journal of Systems and Software 176, 110945, 2021 | 17 | 2021 |
Defect prediction using deep learning with Network Portrait Divergence for software evolution V Walunj, G Gharibi, R Alanazi, Y Lee Empirical Software Engineering 27 (5), 118, 2022 | 9 | 2022 |
Software Analytics for Improving Program Comprehension R Alanazi University of Missouri-Kansas City, 2021 | 2 | 2021 |
Improved and Efficient Object Detection Algorithm based on YOLOv5 AA Alsuwaylimi, R Alanazi, SM Alanazi, SM Alenezi, T Saidani, ... Engineering, Technology & Applied Science Research 14 (3), 14380-14386, 2024 | | 2024 |
Graphevo Dataset: Network Portrait Divergence Based Defect Dataset and its Assessment V Walunj, G Gharibi, R Alanazi, Y Lee Available at SSRN 4176728, 0 | | |