Ellen Rushe

According to our database, Ellen Rushe authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Frisbees and Dogs: Domain Adaptation for Object Detection with Limited Labels in Rugby Data.

Will Connors, Ellen Rushe, Anthony Ventresque

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

The Key Points: Using Feature Importance to Identify Shortcomings in Sign Language Recognition Models.

Ruth M. Holmes, Ellen Rushe, Anthony Ventresque

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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

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

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, Akihiro Sugimoto, Anthony Ventresque

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Deep Contextual Novelty Detection with Context Prediction.

Ellen Rushe, Brian Mac Namee

Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022

2020

Deep Context-Aware Novelty Detection.

Ellen Rushe, Brian Mac Namee

CoRR, 2020

Overlapping community finding with noisy pairwise constraints.

Elham Alghamdi, Ellen Rushe, Brian Mac Namee, Derek Greene

Appl. Netw. Sci., 2020

2019

Personalized, Health-Aware Recipe Recommendation: An Ensemble Topic Modeling Based Approach.

Mansura A. Khan, Ellen Rushe, Barry Smyth, David Coyle

Proceedings of the 4th International Workshop on Health Recommender Systems co-located with the 13th ACM Conference on Recommender Systems 2019 (RecSys 2019), 2019

Anomaly Detection in Raw Audio Using Deep Autoregressive Networks.

Ellen Rushe, Brian Mac Namee

Proceedings of the IEEE International Conference on Acoustics, 2019