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Sean J. Moran
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2020 – today
- 2024
- [c8]Sae Young Moon
, Gregor Kerr
API-Miner: an API-to-API Specification Recommendation Engine. FinanSE@ICSE 2024: 9-16 - [c7]Shaltiel Eloul, Fran Silavong, Sanket Kamthe, Antonios Georgiadis, Sean J. Moran:
Mixing Gradients in Neural Networks as a Strategy to Enhance Privacy in Federated Learning. WACV 2024: 3944-3953 - [i11]Amal Vaidya, Mohan Krishna Vankayalapati, Jacky Chan, Senad Ibraimoski, Sean J. Moran:
A Generative AI Assistant to Accelerate Cloud Migration. CoRR abs/2401.01753 (2024) - [i10]Gregor Kerr, David Algorry, Senad Ibraimoski, Peter Maciver, Sean J. Moran:
Using AI/ML to Find and Remediate Enterprise Secrets in Code & Document Sharing Platforms. CoRR abs/2401.01754 (2024) - 2023
- [c6]Lili Tao, Alexandru-Petre Cazan, Senad Ibraimoski, Sean J. Moran:
Code Librarian: A Software Package Recommendation System. ICSE-SEIP 2023: 196-198 - [c5]Georgios Papadopoulos
A Baseline Generative Probabilistic Model for Weakly Supervised Learning. ECML/PKDD (6) 2023: 36-50 - [i9]Xiaoying Zhi, Varun Babbar, Pheobe Sun, Fran Silavong, Ruibo Shi, Sean J. Moran:
A New Baseline for GreenAI: Finding the Optimal Sub-Network via Layer and Channel Pruning. CoRR abs/2302.10798 (2023) - [i8]Georgios Papadopoulos, Fran Silavong, Sean J. Moran:
A Benchmark Generative Probabilistic Model for Weak Supervised Learning. CoRR abs/2303.17841 (2023) - 2022
- [c4]Ruibo Shi, Lili Tao, Rohan Saphal, Fran Silavong, Sean J. Moran:
CV4Code: Sourcecode Understanding via Visual Code Representations. ACCV (2) 2022: 291-306 - [c3]Xiaoying Zhi, Yash Satsangi, Sean J. Moran, Shaltiel Eloul:
Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning. CIKM 2022: 5069-5073 - [c2]Fran Silavong, Sean J. Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter:
Senatus - A Fast and Accurate Code-to-Code Recommendation Engine. MSR 2022: 511-523 - [i7]Antonios Georgiadis, Varun Babbar, Fran Silavong, Sean J. Moran, Robert Otter:
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation. CoRR abs/2203.13680 (2022) - [i6]Shaltiel Eloul, Fran Silavong, Sanket Kamthe, Antonios Georgiadis, Sean J. Moran:
Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies. CoRR abs/2204.12495 (2022) - [i5]Ruibo Shi, Lili Tao, Rohan Saphal, Fran Silavong, Sean J. Moran:
CV4Code: Sourcecode Understanding via Visual Code Representations. CoRR abs/2205.08585 (2022) - [i4]Agathe Lherondelle, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean J. Moran:
Topical: Learning Repository Embeddings from Source Code using Attention. CoRR abs/2208.09495 (2022) - [i3]Lili Tao, Alexandru-Petre Cazan, Senad Ibraimoski, Sean J. Moran:
Code Librarian: A Software Package Recommendation System. CoRR abs/2210.05406 (2022) - [i2]Sae Young Moon, Fran Silavong, Sean J. Moran:
API-Spector: an API-to-API Specification Recommendation Engine. CoRR abs/2212.07253 (2022) - 2021
- [c1]Shaltiel Eloul, Sean J. Moran, Jacob Mendel:
Improving Streaming Cryptocurrency Transaction Classification via Biased Sampling and Graph Feedback. ACSAC 2021: 761-772 - [i1]Fran Silavong, Sean J. Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter:
DeSkew-LSH based Code-to-Code Recommendation Engine. CoRR abs/2111.04473 (2021)
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