Sean J. Moran

According to our database, Sean J. Moran authored at least 32 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Learning a consensus sub-network with polarization regularization and one pass training.

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

Data Min. Knowl. Discov., September, 2025

On Iterative Evaluation and Enhancement of Code Quality Using GPT-4o.

Rundong Liu, Andre Frade, Amal Vaidya, Maxime Labonne, Marcus Kaiser, Bismayan Chakrabarti, Jonathan Budd, Sean J. Moran

CoRR, February, 2025

A probabilistic model for API contract specification retrieval focusing on the openAPI standard.

Sae Young Moon, Gregor Kerr, Fran Silavong, Sean J. Moran

Data Min. Knowl. Discov., January, 2025

LLMs as Interfaces for a Cloud Migration Assistant.

Gregor Kerr, Amal Vaidya, Mohan Krishna Vankayalapati, Jacky Chan, Senad Ibraimoski, Bismayan Chakrabarti, Sean J. Moran

Proceedings of the 2nd IEEE/ACM Workshop on Software Engineering Challenges in Financial Firms, 2025

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

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

Proceedings of the 2nd IEEE/ACM Workshop on Software Engineering Challenges in Financial Firms, 2025

ADkit: A Framework for Anomaly Detection from Natural Language.

Kostis Gourgoulias, Senad Ibraimoski, Alexandru-Petre Cazan, Mohammed Ayub, Andre Frade, Leandro Martin Rios, Sean J. Moran

Proceedings of the 2nd IEEE/ACM Workshop on Software Engineering Challenges in Financial Firms, 2025

Efficient and Explainable Anomaly Detection in Financial System Logs Using Statistical Modeling.

Mohammed Ayub, Mauro Annarumma, Gaston Liberman, David Algorry, Kostis Gourgoulias, Najah Ghalyan, Sean J. Moran

Proceedings of the 2nd IEEE/ACM Workshop on Software Engineering Challenges in Financial Firms, 2025

2024

Model-Agnostic Utility-Preserving Biometric Information Anonymization.

Chun-Fu Chen, Bill Moriarty, Shaohan Hu, Sean J. Moran, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati

Int. J. Inf. Sec., August, 2024

Estimating class separability of text embeddings with persistent homology.

Kostis Gourgoulias, Najah Ghalyan, Maxime Labonne, Yash Satsangi, Sean J. Moran, Joseph Sabelja

Trans. Mach. Learn. Res., 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

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

Sae Young Moon, Gregor Kerr, Fran Silavong, Sean J. Moran

Proceedings of the 1st IEEE/ACM Workshop on Software Engineering Challenges in Financial Firms, 2024

Topical: Automatic Repository Tagging using Attention on Hybrid Code Embeddings.

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

Proceedings of the 1st IEEE/ACM Workshop on Software Engineering Challenges in Financial Firms, 2024

DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights Using the Fisher Diagonal.

Jialei Shi, Kostis Gourgoulias, John F. Buford, Sean J. Moran, Najah Ghalyan

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal.

Jiaeli Shi, Najah Ghalyan, Kostis Gourgoulias, John F. Buford, Sean J. Moran

CoRR, 2023

An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLMs Fine-Tuning.

Najah Ghalyan, Kostis Gourgoulias, Yash Satsangi, Sean J. Moran, Maxime Labonne, Joseph Sabelja

CoRR, 2023

Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection.

Maxime Labonne, Sean J. Moran

CoRR, 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

Utility-Preserving Biometric Information Anonymization.

Bill Moriarty, Chun-Fu (Richard) Chen, Shaohan Hu, Sean J. Moran, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati

Proceedings of the Computer Security - ESORICS 2022, 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