Sean J. Moran - RankMe

35 papers A 4Journal 20Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A probabilistic model for API contract specification retrieval focusing on the openAPI standard. Data Min. Knowl. Discov. Sae Young Moon, Gregor Kerr, Fran Silavong, Sean J. Moran
2025	—	`conf`	ADkit: A Framework for Anomaly Detection from Natural Language. FinanSE@ICSE Kostis Gourgoulias, Senad Ibraimoski, Alexandru-Petre Cazan, Mohammed Ayub, Andre Frade, Leandro Martin Rios, Sean J. Moran
2025	—	`conf`	Efficient and Explainable Anomaly Detection in Financial System Logs Using Statistical Modeling. FinanSE@ICSE Mohammed Ayub, Mauro Annarumma, Gaston Liberman, David Algorry, Kostis Gourgoulias, Najah Ghalyan, Sean J. Moran
2025	—	`conf`	LLMs as Interfaces for a Cloud Migration Assistant. FinanSE@ICSE Gregor Kerr, Amal Vaidya, Mohan Krishna Vankayalapati, Jacky Chan, Senad Ibraimoski, Bismayan Chakrabarti, Sean J. Moran
2025	J	`jnl`	Learning a consensus sub-network with polarization regularization and one pass training. Data Min. Knowl. Discov. Xiaoying Zhi, Varun Babbar, Rundong Liu, Pheobe Sun, Fran Silavong, Ruibo Shi, Sean J. Moran
2025	J	`jnl`	On Iterative Evaluation and Enhancement of Code Quality Using GPT-4o. CoRR Rundong Liu, Andre Frade, Amal Vaidya, Maxime Labonne, Marcus Kaiser, Bismayan Chakrabarti, Jonathan Budd, Sean J. Moran
2025	—	`conf`	Using AI/ML to Find and Remediate Enterprise Secrets in Code and Document Sharing Platforms. FinanSE@ICSE Gregor Kerr, David Algorry, Senad Ibraimoski, Peter Maciver, Kostis Gourgoulias, Sean J. Moran
2024	J	`jnl`	A Generative AI Assistant to Accelerate Cloud Migration. CoRR Amal Vaidya, Mohan Krishna Vankayalapati, Jacky Chan, Senad Ibraimoski, Sean J. Moran
2024	—	`conf`	API-Miner: an API-to-API Specification Recommendation Engine. FinanSE@ICSE Sae Young Moon, Gregor Kerr, Fran Silavong, Sean J. Moran
2024	—	`conf`	DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights Using the Fisher Diagonal. ECCV Workshops (18) Jialei Shi, Kostis Gourgoulias, John F. Buford, Sean J. Moran, Najah Ghalyan
2024	J	`jnl`	Estimating class separability of text embeddings with persistent homology. Trans. Mach. Learn. Res. Kostis Gourgoulias, Najah Ghalyan, Maxime Labonne, Yash Satsangi, Sean J. Moran, Joseph Sabelja
2024	A	`conf`	Mixing Gradients in Neural Networks as a Strategy to Enhance Privacy in Federated Learning. WACV Shaltiel Eloul, Fran Silavong, Sanket Kamthe, Antonios Georgiadis, Sean J. Moran
2024	J	`jnl`	Model-Agnostic Utility-Preserving Biometric Information Anonymization. CoRR Chun-Fu Richard Chen, Bill Moriarty, Shaohan Hu, Sean J. Moran, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati
2024	J	`jnl`	Model-Agnostic Utility-Preserving Biometric Information Anonymization. Int. J. Inf. Sec. Chun-Fu Chen, Bill Moriarty, Shaohan Hu, Sean J. Moran, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati
2024	—	`conf`	Topical: Automatic Repository Tagging using Attention on Hybrid Code Embeddings. FinanSE@ICSE Agathe Lherondelle, Varun Babbar, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean J. Moran
2024	J	`jnl`	Using AI/ML to Find and Remediate Enterprise Secrets in Code & Document Sharing Platforms. CoRR Gregor Kerr, David Algorry, Senad Ibraimoski, Peter Maciver, Sean J. Moran
2023	—	`conf`	A Baseline Generative Probabilistic Model for Weakly Supervised Learning. ECML/PKDD (6) Georgios Papadopoulos, Fran Silavong, Sean J. Moran
2023	J	`jnl`	A Benchmark Generative Probabilistic Model for Weak Supervised Learning. CoRR Georgios Papadopoulos, Fran Silavong, Sean J. Moran
2023	J	`jnl`	A New Baseline for GreenAI: Finding the Optimal Sub-Network via Layer and Channel Pruning. CoRR Xiaoying Zhi, Varun Babbar, Pheobe Sun, Fran Silavong, Ruibo Shi, Sean J. Moran
2023	J	`jnl`	An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLMs Fine-Tuning. CoRR Najah Ghalyan, Kostis Gourgoulias, Yash Satsangi, Sean J. Moran, Maxime Labonne, Joseph Sabelja
2023	—	`conf`	Code Librarian: A Software Package Recommendation System. ICSE-SEIP Lili Tao, Alexandru-Petre Cazan, Senad Ibraimoski, Sean J. Moran
2023	J	`jnl`	DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal. CoRR Jiaeli Shi, Najah Ghalyan, Kostis Gourgoulias, John F. Buford, Sean J. Moran
2023	J	`jnl`	Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection. CoRR Maxime Labonne, Sean J. Moran
2022	J	`jnl`	API-Spector: an API-to-API Specification Recommendation Engine. CoRR Sae Young Moon, Fran Silavong, Sean J. Moran
2022	—	`conf`	CV4Code: Sourcecode Understanding via Visual Code Representations. ACCV (2) Ruibo Shi, Lili Tao, Rohan Saphal, Fran Silavong, Sean J. Moran
2022	J	`jnl`	CV4Code: Sourcecode Understanding via Visual Code Representations. CoRR Ruibo Shi, Lili Tao, Rohan Saphal, Fran Silavong, Sean J. Moran
2022	J	`jnl`	Code Librarian: A Software Package Recommendation System. CoRR Lili Tao, Alexandru-Petre Cazan, Senad Ibraimoski, Sean J. Moran
2022	J	`jnl`	Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies. CoRR Shaltiel Eloul, Fran Silavong, Sanket Kamthe, Antonios Georgiadis, Sean J. Moran
2022	A	`conf`	Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning. CIKM Xiaoying Zhi, Yash Satsangi, Sean J. Moran, Shaltiel Eloul
2022	J	`jnl`	ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation. CoRR Antonios Georgiadis, Varun Babbar, Fran Silavong, Sean J. Moran, Robert Otter
2022	A	`conf`	Senatus - A Fast and Accurate Code-to-Code Recommendation Engine. MSR Fran Silavong, Sean J. Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter
2022	J	`jnl`	Topical: Learning Repository Embeddings from Source Code using Attention. CoRR Agathe Lherondelle, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean J. Moran
2022	—	`conf`	Utility-Preserving Biometric Information Anonymization. ESORICS (2) Bill Moriarty, Chun-Fu (Richard) Chen, Shaohan Hu, Sean J. Moran, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati
2021	J	`jnl`	DeSkew-LSH based Code-to-Code Recommendation Engine. CoRR Fran Silavong, Sean J. Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter
2021	A	`conf`	Improving Streaming Cryptocurrency Transaction Classification via Biased Sampling and Graph Feedback. ACSAC Shaltiel Eloul, Sean J. Moran, Jacob Mendel