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Gharib Gharibi
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2020 – today
- 2024
- [c12]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:
STOP-HCV-HCC Program: Privacy-Preserving Innovation for Remote Data Access Analytics at Federally Qualified Health Centers in South Texas. MIE 2024: 1716-1717 - 2023
- [i3]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 abs/2308.11027 (2023) - 2022
- [j4]Saria Goudarzvand
Similarity-based second chance autoencoders for textual data. Appl. Intell. 52(11): 12330-12346 (2022) - [j3]Vijay Walunj
Defect prediction using deep learning with Network Portrait Divergence for software evolution. Empir. Softw. Eng. 27(5): 118 (2022) - [c11]Saria Goudarzvand, Gharib Gharibi, Yugyung Lee:
Coherence-based Second Chance Autoencoders for Document Understanding. SDU@AAAI 2022 - [c10]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 - [c9]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: 1302-1305 - 2021
- [j2]Gharib Gharibi
Automated end-to-end management of the modeling lifecycle in deep learning. Empir. Softw. Eng. 26(2): 17 (2021) - [j1]Rakan Alanazi
Facilitating program comprehension with call graph multilevel hierarchical abstractions. J. Syst. Softw. 176: 110945 (2021) - [c8]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: 343-348 - 2020
- [i2]Somaieh Goudarzvand, Gharib Gharibi, Yugyung Lee:
SCAT: Second Chance Autoencoder for Textual Data. CoRR abs/2005.06632 (2020)
2010 – 2019
- 2019
- [c7]Vijay Walunj, Gharib Gharibi, Duy H. Ho, Yugyung Lee:
GraphEvo: Characterizing and Understanding Software Evolution using Call Graphs. IEEE BigData 2019: 4799-4807 - [c6]Gharib Gharibi, Vijay Walunj, Sirisha Rella, Yugyung Lee:
ModelKB: towards automated management of the modeling lifecycle in deep learning. RAISE@ICSE 2019: 28-34 - [c5]Gharib Gharibi, Vijay Walunj, Rakan Alanazi
Automated Management of Deep Learning Experiments. DEEM@SIGMOD 2019: 8:1-8:4 - 2018
- [c4]Gharib Gharibi, Rakan Alanazi
Automatic Hierarchical Clustering of Static Call Graphs for Program Comprehension. IEEE BigData 2018: 4016-4025 - [c3]Gharib Gharibi, Rashmi Tripathi, Yugyung Lee:
Code2graph: automatic generation of static call graphs for Python source code. ASE 2018: 880-883 - 2016
- [c2]Gharib Gharibi, Yongjie Zheng:
ArchFeature: A Modeling Environment Integrating Features into Product Line Architecture. D&P@MoDELS 2016: 56-63 - [c1]Gharib Gharibi, Yongjie Zheng:
ArchFeature: integrating features into product line architecture. SAC 2016: 1302-1308 - 2014
- [i1]Wajeb Gharibi, Gharib Gharibi:
Gharibi_FaceCard for Contacts and Easy Personal - Information Exchange. CoRR abs/1410.4928 (2014)
Coauthor Index
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