Defect prediction using deep learning with Network Portrait Divergence for software evolution.
Empir. Softw. Eng., 2022
Automated end-to-end management of the modeling lifecycle in deep learning.
Empir. Softw. Eng., 2021
Secure5G: A Deep Learning Framework Towards a Secure Network Slicing in 5G and Beyond.
Proceedings of the 10th Annual Computing and Communication Workshop and Conference, 2020
DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks.
Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019
Automated Management of Deep Learning Experiments.
Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, 2019
ModelKB: towards automated management of the modeling lifecycle in deep learning.
Proceedings of the 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, 2019
GraphEvo: Characterizing and Understanding Software Evolution using Call Graphs.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019