Gharib Gharibi

According to our database, Gharib Gharibi authored at least 19 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

STOP-HCV-HCC Program: Privacy-Preserving Innovation for Remote Data Access Analytics at Federally Qualified Health Centers in South Texas.

Catherine K. Craven, Raudel Bobadilla, Edward Yao, Caleb Castillo, Julio Cerroblanco, Bertha E. Flores, Mamta Jain, Alex Radunsky, Mikulas Plesak, Craig Gentry, Riddhiman Das, Gharib Gharibi

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

2023

Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics.

Zhuohang Li, Chao Yan, Xinmeng Zhang, Gharib Gharibi, Zhijun Yin, Xiaoqian Jiang, Bradley A. Malin

CoRR, 2023

2022

Defect prediction using deep learning with Network Portrait Divergence for software evolution.

Vijay Walunj, Gharib Gharibi, Rakan Alanazi, Yugyung Lee

Empir. Softw. Eng., 2022

Similarity-based second chance autoencoders for textual data.

Saria Goudarzvand, Gharib Gharibi, Yugyung Lee

Appl. Intell., 2022

An Automated Framework for Distributed Deep Learning-A Tool Demo.

Gharib Gharibi, Ravi Patel, Anissa Khan, Babak Poorebrahim Gilkalaye, Praneeth Vepakomma, Ramesh Raskar, Steve Penrod, Greg Storm, Riddhiman Das

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Blind Inference: An Automated Privacy-Preserving Prediction Service using Secure Multi-Party Computation for Medical Applications.

Gharib Gharibi, Babak Poorebrahim Gilkalaye, Praneeth Vepakomma, Zachi Attia, Riddhiman Das, Suraj Kapa, Ramesh Raskar

Proceedings of the AMIA 2022, 2022

Coherence-based Second Chance Autoencoders for Document Understanding.

Saria Goudarzvand, Gharib Gharibi, Yugyung Lee

Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

2021

Facilitating program comprehension with call graph multilevel hierarchical abstractions.

Rakan Alanazi, Gharib Gharibi, Yugyung Lee

J. Syst. Softw., 2021

Automated end-to-end management of the modeling lifecycle in deep learning.

Gharib Gharibi, Vijay Walunj, Raju Nekadi, Raj Marri, Yugyung Lee

Empir. Softw. Eng., 2021

TripleBlind: A Privacy-Preserving Framework for Decentralized Data and Algorithms.

Gharib Gharibi, Babak Poorebrahim Gilkalaye, Ravi Patel, Andrew Rademacher, David Wagner, Jack Fay, Gary Moore, Steve Penrod, Greg Storm, Riddhiman Das

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2020

SCAT: Second Chance Autoencoder for Textual Data.

Somaieh Goudarzvand, Gharib Gharibi, Yugyung Lee

CoRR, 2020

2019

Automated Management of Deep Learning Experiments.

Gharib Gharibi, Vijay Walunj, Rakan Alanazi, Sirisha Rella, Yugyung Lee

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.

Gharib Gharibi, Vijay Walunj, Sirisha Rella, Yugyung Lee

Proceedings of the 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, 2019

GraphEvo: Characterizing and Understanding Software Evolution using Call Graphs.

Vijay Walunj, Gharib Gharibi, Duy H. Ho, Yugyung Lee

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Code2graph: automatic generation of static call graphs for Python source code.

Gharib Gharibi, Rashmi Tripathi, Yugyung Lee

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

Automatic Hierarchical Clustering of Static Call Graphs for Program Comprehension.

Gharib Gharibi, Rakan Alanazi, Yugyung Lee

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016

ArchFeature: integrating features into product line architecture.

Gharib Gharibi, Yongjie Zheng

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

ArchFeature: A Modeling Environment Integrating Features into Product Line Architecture.

Gharib Gharibi, Yongjie Zheng

Proceedings of the MoDELS 2016 Demo and Poster Sessions co-located with ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems (MoDELS 2016), 2016

2014

Gharibi_FaceCard for Contacts and Easy Personal - Information Exchange.

Wajeb Gharibi, Gharib Gharibi

CoRR, 2014