Sean J. Moran

According to our database, Sean J. Moran authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Using AI/ML to Find and Remediate Enterprise Secrets in Code & Document Sharing Platforms.

Gregor Kerr, David Algorry, Senad Ibraimoski, Peter Maciver, Sean J. Moran

CoRR, 2024

A Generative AI Assistant to Accelerate Cloud Migration.

Amal Vaidya, Mohan Krishna Vankayalapati, Jacky Chan, Senad Ibraimoski, Sean J. Moran

CoRR, 2024

Mixing Gradients in Neural Networks as a Strategy to Enhance Privacy in Federated Learning.

Shaltiel Eloul, Fran Silavong, Sanket Kamthe, Antonios Georgiadis, Sean J. Moran

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

A Benchmark Generative Probabilistic Model for Weak Supervised Learning.

Georgios Papadopoulos, Fran Silavong, Sean J. Moran

CoRR, 2023

A New Baseline for GreenAI: Finding the Optimal Sub-Network via Layer and Channel Pruning.

Xiaoying Zhi, Varun Babbar, Pheobe Sun, Fran Silavong, Ruibo Shi, Sean J. Moran

CoRR, 2023

A Baseline Generative Probabilistic Model for Weakly Supervised Learning.

Georgios Papadopoulos, Fran Silavong, Sean J. Moran

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Code Librarian: A Software Package Recommendation System.

Lili Tao, Alexandru-Petre Cazan, Senad Ibraimoski, Sean J. Moran

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

2022

API-Spector: an API-to-API Specification Recommendation Engine.

Sae Young Moon, Fran Silavong, Sean J. Moran

CoRR, 2022

Topical: Learning Repository Embeddings from Source Code using Attention.

Agathe Lherondelle, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean J. Moran

CoRR, 2022

Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies.

Shaltiel Eloul, Fran Silavong, Sanket Kamthe, Antonios Georgiadis, Sean J. Moran

CoRR, 2022

ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation.

Antonios Georgiadis, Varun Babbar, Fran Silavong, Sean J. Moran, Robert Otter

CoRR, 2022

Senatus - A Fast and Accurate Code-to-Code Recommendation Engine.

Fran Silavong, Sean J. Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning.

Xiaoying Zhi, Yash Satsangi, Sean J. Moran, Shaltiel Eloul

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

CV4Code: Sourcecode Understanding via Visual Code Representations.

Ruibo Shi, Lili Tao, Rohan Saphal, Fran Silavong, Sean J. Moran

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

DeSkew-LSH based Code-to-Code Recommendation Engine.

Fran Silavong, Sean J. Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter

CoRR, 2021

Improving Streaming Cryptocurrency Transaction Classification via Biased Sampling and Graph Feedback.

Shaltiel Eloul, Sean J. Moran, Jacob Mendel

Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021