Gharib Gharibi

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 17

Top Topics

Software Evolution

Hierarchical Clustering

Top Venues

Empir. Softw. Eng.

Publications

Zhuohang Li, Chao Yan, Xinmeng Zhang, Gharib Gharibi, Zhijun Yin, Xiaoqian Jiang, Bradley A. Malin
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics. CoRR (2023)
Gharib Gharibi, Babak Poorebrahim Gilkalaye, Praneeth Vepakomma, Zachi Attia, Riddhiman Das, Suraj Kapa, Ramesh Raskar
Blind Inference: An Automated Privacy-Preserving Prediction Service using Secure Multi-Party Computation for Medical Applications. AMIA (2022)
Gharib Gharibi, Ravi Patel, Anissa Khan, Babak Poorebrahim Gilkalaye, Praneeth Vepakomma, Ramesh Raskar, Steve Penrod, Greg Storm, Riddhiman Das
An Automated Framework for Distributed Deep Learning-A Tool Demo. ICDCS (2022)
Vijay Walunj, Gharib Gharibi, Rakan Alanazi, Yugyung Lee
Defect prediction using deep learning with Network Portrait Divergence for software evolution. Empir. Softw. Eng. 27 (5) (2022)
Saria Goudarzvand, Gharib Gharibi, Yugyung Lee
Coherence-based Second Chance Autoencoders for Document Understanding. SDU@AAAI (2022)
Saria Goudarzvand, Gharib Gharibi, Yugyung Lee
Similarity-based second chance autoencoders for textual data. Appl. Intell. 52 (11) (2022)
Rakan Alanazi, Gharib Gharibi, Yugyung Lee
Facilitating program comprehension with call graph multilevel hierarchical abstractions. J. Syst. Softw. 176 (2021)
Gharib Gharibi, Vijay Walunj, Raju Nekadi, Raj Marri, Yugyung Lee
Automated end-to-end management of the modeling lifecycle in deep learning. Empir. Softw. Eng. 26 (2) (2021)
Gharib Gharibi, Babak Poorebrahim Gilkalaye, Ravi Patel, Andrew Rademacher, David Wagner, Jack Fay, Gary Moore, Steve Penrod, Greg Storm, Riddhiman Das
TripleBlind: A Privacy-Preserving Framework for Decentralized Data and Algorithms. NeurIPS (Competition and Demos) (2021)
Somaieh Goudarzvand, Gharib Gharibi, Yugyung Lee
SCAT: Second Chance Autoencoder for Textual Data. CoRR (2020)
Gharib Gharibi, Vijay Walunj, Rakan Alanazi, Sirisha Rella, Yugyung Lee
Automated Management of Deep Learning Experiments. DEEM@SIGMOD (2019)
Vijay Walunj, Gharib Gharibi, Duy H. Ho, Yugyung Lee
GraphEvo: Characterizing and Understanding Software Evolution using Call Graphs. IEEE BigData (2019)
Gharib Gharibi, Vijay Walunj, Sirisha Rella, Yugyung Lee
ModelKB: towards automated management of the modeling lifecycle in deep learning. RAISE@ICSE (2019)
Gharib Gharibi, Rashmi Tripathi, Yugyung Lee
Code2graph: automatic generation of static call graphs for Python source code. ASE (2018)
Gharib Gharibi, Rakan Alanazi, Yugyung Lee
Automatic Hierarchical Clustering of Static Call Graphs for Program Comprehension. IEEE BigData (2018)
Gharib Gharibi, Yongjie Zheng
ArchFeature: integrating features into product line architecture. SAC (2016)
Gharib Gharibi, Yongjie Zheng
ArchFeature: A Modeling Environment Integrating Features into Product Line Architecture. D&P@MoDELS (2016)
Wajeb Gharibi, Gharib Gharibi
Gharibi_FaceCard for Contacts and Easy Personal - Information Exchange. CoRR (2014)