Anomaly Detection in Raw Audio Using Deep Autoregressive Networks. - Ellen Rushe; Brian Mac Namee (ICASSP, 2019)

Personalized, Health-Aware Recipe Recommendation: An Ensemble Topic Modeling Based Approach. - Mansura A. Khan; Ellen Rushe; Barry Smyth; David Coyle (HealthRecSys@RecSys, 2019)

Overlapping community finding with noisy pairwise constraints. - Elham Abdullah Alghamdi; Ellen Rushe; Brian Mac Namee; Derek Greene (Appl. Netw. Sci., 2020)

Deep Context-Aware Novelty Detection. - Ellen Rushe; Brian Mac Namee (CoRR, 2020)

Deep Contextual Novelty Detection with Context Prediction. - Ellen Rushe; Brian Mac Namee (LIDTA, 2022)

From Scarcity to Understanding: Transfer Learning for the Extremely Low Resource Irish Sign Language. - Ruth Holmes; Ellen Rushe; Mathieu De Coster; Maxim Bonnaerens; Shinichi Satoh 001; Akihiro Sugimoto; Anthony Ventresque (ICCV (Workshops), 2023)

Towards the extraction of robust sign embeddings for low resource sign language recognition. - Mathieu De Coster; Ellen Rushe; Ruth Holmes; Anthony Ventresque; Joni Dambre (CoRR, 2023)

What's left can't be right - The remaining positional incompetence of contrastive vision-language models. - Nils Hoehing; Ellen Rushe; Anthony Ventresque (CoRR, 2023)

The Impact of CLIP Encoders and CNN Architectures on Model Efficiency: A Case Study on Hate Speech Detection. - Christof Kälin; Ellen Rushe; Stefan Kull; Andrew McCarren (AICS, 2024)

The Key Points: Using Feature Importance to Identify Shortcomings in Sign Language Recognition Models. - Ruth M. Holmes; Ellen Rushe; Anthony Ventresque (LREC/COLING, 2024)

Frisbees and Dogs: Domain Adaptation for Object Detection with Limited Labels in Rugby Data. - Will Connors; Ellen Rushe; Anthony Ventresque (ECAI, 2024)

Metamorphic Testing for Pose Estimation Systems. - Matias Duran; Thomas Laurent 003; Ellen Rushe; Anthony Ventresque (ICST, 2025)