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)

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)

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 (ECCV Workshops (18), 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)

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 (FinanSE@ICSE, 2025)