| 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 | 37 | 2019 |
| 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 | 37 | 2018 |
| 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 | 30 | 2021 |
| 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 | 29 | 2019 |
| 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 | 24 | 2018 |
| Facilitating program comprehension with call graph multilevel hierarchical abstractions R Alanazi, G Gharibi, Y Lee Journal of Systems and Software 176, 110945, 2021 | 20 | 2021 |
| 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 | 13 | 2019 |
| 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 | 9 | 2022 |
| ArchFeature: Integrating features into product line architecture G Gharibi, Y Zheng Proceedings of the 31st annual acm symposium on applied computing, 1302-1308, 2016 | 7 | 2016 |
| Scat: Second chance autoencoder for textual data S Goudarzvand, G Gharibi, Y Lee arXiv preprint arXiv:2005.06632, 2020 | 4 | 2020 |
| 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 | 3 | 2022 |
| ArchFeature: A Modeling Environment Integrating Features into Product Line Architecture. G Gharibi, Y Zheng D&P@ MoDELS, 56-63, 2016 | 3 | 2016 |
| Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics Z Li, C Yan, X Zhang, G Gharibi, Z Yin, X Jiang, BA Malin AMIA Annual Symposium Proceedings 2023, 1047, 2023 | 2 | 2023 |
| Similarity-based second chance autoencoders for textual data S Goudarzvand, G Gharibi, Y Lee Applied Intelligence 52 (11), 12330-12346, 2022 | 2 | 2022 |
| 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 | 2 | 2022 |
| Systems and methods for blind multimodal learning G Gharibi, G Storm, R Patel, R Das US Patent 11,855,970, 2023 | 1 | 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 | 1 | 2023 |
| Systems and methods for securely training a decision tree BP Gilkalaye, G Gharibi, R Das, G Storm US Patent App. 17/939,797, 2023 | 1 | 2023 |
| 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 | 1 | 2022 |
| Systems and methods for providing a systemic error in artificial intelligence algorithms G Gharibi, BP Gilkalaye, R Das US Patent 11,528,259, 2022 | 1 | 2022 |
Yugyung LeeProfessor of Computer Science, University of Missouri - Kansas City在 umkc.edu 的电子邮件经过验证
