Sean J. Moran

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Software Package

Supervised Learning

Top Venues

Publications

Amal Vaidya, Mohan Krishna Vankayalapati, Jacky Chan, Senad Ibraimoski, Sean J. Moran
A Generative AI Assistant to Accelerate Cloud Migration. CoRR (2024)
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)
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 (2024)
Georgios Papadopoulos, Fran Silavong, Sean J. Moran
A Baseline Generative Probabilistic Model for Weakly Supervised Learning. ECML/PKDD (6) (2023)
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 (2023)
Lili Tao, Alexandru-Petre Cazan, Senad Ibraimoski, Sean J. Moran
Code Librarian: A Software Package Recommendation System. ICSE-SEIP (2023)
Georgios Papadopoulos, Fran Silavong, Sean J. Moran
A Benchmark Generative Probabilistic Model for Weak Supervised Learning. CoRR (2023)
Sae Young Moon, Fran Silavong, Sean J. Moran
API-Spector: an API-to-API Specification Recommendation Engine. CoRR (2022)
Agathe Lherondelle, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean J. Moran
Topical: Learning Repository Embeddings from Source Code using Attention. CoRR (2022)
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 (2022)
Ruibo Shi, Lili Tao, Rohan Saphal, Fran Silavong, Sean J. Moran
CV4Code: Sourcecode Understanding via Visual Code Representations. ACCV (2) (2022)
Antonios Georgiadis, Varun Babbar, Fran Silavong, Sean J. Moran, Robert Otter
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation. CoRR (2022)
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)
Fran Silavong, Sean J. Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter
Senatus - A Fast and Accurate Code-to-Code Recommendation Engine. MSR (2022)
Ruibo Shi, Lili Tao, Rohan Saphal, Fran Silavong, Sean J. Moran
CV4Code: Sourcecode Understanding via Visual Code Representations. CoRR (2022)
Lili Tao, Alexandru-Petre Cazan, Senad Ibraimoski, Sean J. Moran
Code Librarian: A Software Package Recommendation System. CoRR (2022)
Shaltiel Eloul, Sean J. Moran, Jacob Mendel
Improving Streaming Cryptocurrency Transaction Classification via Biased Sampling and Graph Feedback. ACSAC (2021)