Publications

40+ peer-reviewed papers across vision, NLP, retrieval, and federated learning. Google Scholar →
2026
2025
2025
ADKit: A Framework for Anomaly Detection from Natural Language
K. Gourgoulias, S. Ibraimoski, G. Liberman, A. Cazan, M. Ayub, A. Frade, L. Rios, S. Moran
FinanSE 2025
2025
Using AI/ML to Find and Remediate Enterprise Secrets in Code & Document Sharing Platforms
G. Kerr, D. Algorry, S. Ibraimoski, P. Maciver, K. Gourgoulias, S. Moran
FinanSE 2025
2025
LLMs as Interfaces for Cloud Migration
G. Kerr, A. Vaidya, M. Vankayalapati, J. Chan, S. Ibraimoski, B. Chakrabarti, S. Moran
FinanSE 2025
2025
Efficient and Explainable Anomaly Detection in Financial System Logs
M. Ayub, M. Annarumma, K. Gourgoulias, G. Liberman, D. Algorry, N. Ghalyan, S. Moran
FinanSE 2025
2025
CodeQUEST: Evaluation and Improvement of Code Quality Using LLMs
R. Liu, A. Frade, A. Vaidya, M. Labonne, M. Kaiser, B. Chakrabarti, S. Moran
ISSREW 2025 (IEEE)
2025
Learning a Consensus Sub-Network with Polarization Regularization and One-Pass Training
X. Zhi, V. Babbar, P. Sun, F. Silavong, R. Shi, S. Moran
Data Mining & Knowledge Discovery 2025
2024
A Probabilistic Model for API Contract Specification Retrieval (OpenAPI)
S.Y. Moon, G. Kerr, F. Silavong, S. Moran
Data Mining & Knowledge Discovery 2024
2024
An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLM Fine-Tuning
N. Ghalyan, K. Gourgoulias, Y. Satsangi, S. Moran, M. Labonne, J. Sabelja
TMLR 2024
2024
Model-Agnostic Utility-Preserving Biometric Information Anonymization
B. Moriarty, C-F. Chen, S. Hu, S. Moran, M. Pistoia, V. Piuri, P. Samarati
Int. Journal of Information Security 2024
2024
DeepClean: Machine Unlearning by Resetting Privacy-Sensitive Weights using the Fisher Diagonal
J. Shi, N. Ghalyan, K. Gourgoulias, J. Buford, S. Moran
ECCV Workshop on Unlearning 2024
2024
Enhancing Privacy against Inversion Attacks in Federated Learning by Mixing Gradients
S. Eloul, F. Silavong, S. Kamthe, A. Georgiadis, S. Moran
WACV 2024
2024
API-Miner: an API-to-API Specification Recommendation Engine
S.Y. Moon, G. Kerr, F. Silavong, S. Moran
FinanSE 2024
2024
Topical: Learning Repository Embeddings from Source Code using Attention
A. Lherondelle, V. Babbar, Y. Satsangi, F. Silavong, S. Eloul, S. Moran
FinanSE 2024
2023
A Benchmark Generative Probabilistic Model for Weak Supervised Learning
G. Papadopoulos, F. Silavong, S. Moran
ECML PKDD 2023
2023
Spam-T5: Benchmarking LLMs for Few-Shot Email Spam Detection
M. Labonne, S. Moran
FinLLM @ IJCAI 2023
2023
Code Librarian: A Software Package Recommendation Engine
L. Tao, A-P. Cazan, S. Ibraimoski, S. Moran
ICSE SEIP 2023
2022
Towards Data Efficient and Robust Speech Representation Model Distillation
P. Sun, R. Shi, A. Emami, S. Moran
NeurIPS ENLSP Workshop 2022
2022
2022
Utility-Preserving Biometric Information Anonymization
B. Moriarty, C-F. Chen, S. Hu, S. Moran, M. Pistoia, V. Piuri, P. Samarati
ESORICS 2022
2022
CV4Code: Source Code Understanding via Visual Code Representations
R. Shi, L. Tao, R. Saphal, F. Silavong, S. Moran
ACCV 2022
2022
Senatus: A Fast and Accurate Code-To-Code Recommendation Engine
F. Silavong, S. Moran, A. Georgiadis, R. Saphal, R. Otter
MSR 2022
2022
ST-FL: Style-Transfer Preprocessing in Federated Learning for COVID-19 Segmentation
A. Georgiadis, V. Babbar, F. Silavong, S. Moran, R. Otter
SPIE Medical Imaging 2022
2021
2020
Low-Light Video Enhancement using Synthetic Data with Intermediate Domain Mapping
D. Triantafyllidou, S. Moran, S. McDonagh, S. Parisot, G. Slabaugh
ECCV 2020
2020
DeepLPF: Deep Local Parametric Filters for Image Enhancement
S. Moran, P. Marza, S. McDonagh, S. Parisot, G. Slabaugh
CVPR 2020
2020
CURL: Neural Curve Layers for Global Image Enhancement
S. Moran, S. McDonagh, G. Slabaugh
ICPR 2020
2019
NODE: Extreme Low-Light Raw Image Denoising via Noise Decomposition
H. Guan, L. Liu, S. Moran, F. Song, G. Slabaugh
arXiv 2019
2019
2018
A Novel Genomics-Based Platform for Environmental-Responsive Gene Promoters
J.M. Iglesias, R.M. Fraser, S. Moran, et al.
Molecular Therapy 2018
2016
2016
Enhancing First Story Detection using Word Embeddings
S. Moran, R. McCreadie, C. MacDonald, I. Ounis
SIGIR 2016
2015
Learning to Hash for Large-Scale Image Retrieval
S. Moran
PhD Thesis, University of Edinburgh, 2015
2015
Regularised Cross-Modal Hashing
S. Moran, V. Lavrenko
SIGIR 2015
2015
2015
Graph Regularised Hashing
S. Moran, V. Lavrenko
ECIR 2015
2014
2014
Sparse Kernel Learning for Image Annotation
S. Moran, V. Lavrenko
ICMR 2014 — Best Student Paper
2014
2013
2013
Variable Bit Quantisation for LSH
S. Moran, V. Lavrenko, M. Osborne
ACL 2013
2013
Neighbourhood Preserving Quantisation for LSH
S. Moran, V. Lavrenko, M. Osborne
SIGIR 2013
2012
2011
Optimal Tag Sets for Automatic Image Annotation
S. Moran, V. Lavrenko
BMVC 2011
2004