Charmaine Barker

According to our database, Charmaine Barker authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

Reasonable Doubt in the Face of Bias: Fair Flagging with Dirichlet-Based Models.

Charmaine Barker, Dimitar Kazakov

Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026

Multi-Partner Project: Enhancing Resilience, Efficiency, and Trustworthiness of Edge AI in Safety-Critical Systems (GuardAI).

Antonis D. Savva, Mehmet Demirel, Yeshwanth Kumar Adimoolam, Rafaella Elia, Alexandros Gkillas, Christos Anagnostopoulos, Erion-Vasilis M. Pikoulis, Amalia Damianou, Charmaine Barker, Daniel Bethell, Ahmed Salah Tawfik Ibrahim, Filippo Cugini, Francesco Paolucci, Kyriakos Vlachos, Simos Gerasimou, Antonios Lalas, Konstantinos Votis, Aris S. Lalos, Christos Kyrkou, Theocharis Theocharides

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

Guided Uncertainty Learning Using a Post-Hoc Evidential Meta-Model.

Charmaine Barker, Daniel Bethell, Simos Gerasimou

CoRR, September, 2025

Quantifying Adversarial Uncertainty in Evidential Deep Learning using Conflict Resolution.

Charmaine Barker, Daniel Bethell, Simos Gerasimou

CoRR, June, 2025

Learning Fairer Representations with FairVIC.

Charmaine Barker, Daniel Bethell, Dimitar Kazakov

Proceedings of TRUST-AI 2025, 2025

Mitigating Bias in Text Classification via Prompt-Based Text Transformation.

Charmaine Barker, Dimitar Kazakov

Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing, 2025

2024

Enhancing Fairness in Neural Networks Using FairVIC.

Charmaine Barker, Daniel Bethell, Dimitar Kazakov

CoRR, 2024

2023

ChatGPT as a Text Simplification Tool to Remove Bias.

Charmaine Barker, Dimitar Kazakov

CoRR, 2023