Follow
Gharib Gharibi
Gharib Gharibi
TripleBlind, University of Missouri-Kansas City
Verified email at tripleblind.ai - Homepage
Title
Cited by
Cited by
Year
Code2graph: automatic generation of static call graphs for python source code
G Gharibi, R Tripathi, Y Lee
Proceedings of the 33rd ACM/IEEE international conference on automated …, 2018
362018
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
332019
Modelkb: towards automated management of the modeling lifecycle in deep learning
G Gharibi, V Walunj, S Rella, Y Lee
2019 IEEE/ACM 7th International Workshop on Realizing Artificial …, 2019
292019
Automated end-to-end management of the modeling lifecycle in deep learning
G Gharibi, V Walunj, R Nekadi, R Marri, Y Lee
Empirical Software Engineering 26, 1-33, 2021
282021
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
222018
Facilitating program comprehension with call graph multilevel hierarchical abstractions
R Alanazi, G Gharibi, Y Lee
Journal of Systems and Software 176, 110945, 2021
172021
GraphEvo: Characterizing and Understanding Software Evolution using Call Graphs
V Walunj, G Gharibi, DH Ho, Y Lee
2019 IEEE International Conference on Big Data (Big Data), 2019
122019
ArchFeature: Integrating features into product line architecture
G Gharibi, Y Zheng
Proceedings of the 31st annual acm symposium on applied computing, 1302-1308, 2016
72016
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
42022
Scat: Second chance autoencoder for textual data
S Goudarzvand, G Gharibi, Y Lee
arXiv preprint arXiv:2005.06632, 2020
42020
ArchFeature: A Modeling Environment Integrating Features into Product Line Architecture.
G Gharibi, Y Zheng
D&P@ MoDELS, 56-63, 2016
32016
Similarity-based second chance autoencoders for textual data
S Goudarzvand, G Gharibi, Y Lee
Applied Intelligence 52 (11), 12330-12346, 2022
22022
Systems and methods for providing a modified loss function in federated-split learning
G Gharibi, R Patel, BP Gilkalaye, P Vepakomma, G Storm, R Das
US Patent 11,431,688, 2022
22022
An automated framework for distributed deep learning–a tool demo
G Gharibi, R Patel, A Khan, BP Gilkalaye, P Vepakomma, R Raskar, ...
2022 IEEE 42nd International Conference on Distributed Computing Systems …, 2022
22022
Systems and methods for blind multimodal learning
G Gharibi, G Storm, R Patel, R Das
US Patent 11,855,970, 2023
12023
Systems and methods for securely training a decision tree
BP Gilkalaye, G Gharibi, R Das, G Storm
US Patent App. 17/939,797, 2023
12023
Systems and methods for finding a value in a combined list of private values
BP Gilkalaye, R Das, G Gharibi
US Patent 11,531,782, 2022
12022
TripleBlind: A Privacy-Preserving Framework for Decentralized Data and Algorithms
G Gharibi, BP Gilkalaye, R Patel, A Rademacher, D Wagner, J Fay, ...
NeurIPS 2021 Competitions and Demonstrations Track, 343-348, 2022
12022
Systems and methods for tree-based model inference using multi-party computation
BP Gilkalaye, G Gharibi, G Storm, R Das
US Patent 11,843,587, 2023
2023
Systems and methods for providing a modified loss function in federated-split learning
G Gharibi, R Patel, BP Gilkalaye, P Vepakomma, G Storm, R Das
US Patent 11,843,586, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–20