PUBLICATIONS
Journal Articles
- Nelson, J., Baimagambetov, A., Avgerinakis, K., & Polatidis, N. (2025). Ethical AI prompt recommendations in large language models using collaborative filtering. International Journal of Parallel, Emergent and Distributed Systems, 0(0), 1–12. https://doi.org/10.1080/17445760.2025.2573086
- Nelson, J., Pavlidis, M., Fish, A., Polatidis, N., & Manolopoulos, Y. (2025). Leveraging Ethical Narratives to Enhance LLM-AutoML Generated Machine Learning Models. Expert Systems, 42(7), e70072. https://doi.org/10.1111/exsy.70072
- Sohrabi, R. (2026). When AI fails to listen: Convergent failure patterns across speech impairments and low-resource speech in ASR. AI & SOCIETY. https://doi.org/10.1007/s00146-026-03073-y
- Wali, A., Kapetanakis, S., & Nalli, G. (2026). Towards a news authenticity predictor (NAP AI). Engineering Proceedings, 124(1), 89. https://doi.org/10.3390/engproc2026124089
Conference Proceedings
- Signer, B. (in press). Leveraging generative AI, knowledge graphs and personalised learning paths to improve the learning experience of neurodivergent students in e-learning courses. In Proceedings of the 40th International Conference on Advanced Information Networking and Applications (AINA-2026). https://www.academia.edu/156583519/Leveraging_Generative_AI_Knowledge_Graphs_and_Personalised_Learning_Paths_to_Improve_the_Learning_Experience_of_Neurodivergent_Students_in_E_learning_Courses
- Uwasomba, C., Nnamoko, N., & Korkontzelos, Y. (in press-a). Behaviourally informed adversarial prompting for evaluating emergent risk behaviours in foundation models. In Proceedings of the International Conference on Circuit, Systems and Communication (ICCSC 2026). IEEE. https://research.edgehill.ac.uk/en/publications/behaviourally-informed-adversarial-prompting-for-evaluating-emerg/
- Uwasomba, C., Nnamoko, N., & Korkontzelos, Y. (in press-b). Deterministic and trustworthy LLM-driven semantic knowledge graph construction. In Proceedings of the International Conference on Circuit, Systems and Communication (ICCSC 2026). IEEE. https://research.edgehill.ac.uk/en/publications/deterministic-and-trustworthy-llm-driven-semantic-knowledge-graph/
- Vassiliades, A., Polatidis, N., Smaras, S., Diplaris, S., Cabrera Martin, I., Manolopoulos, Y., Vrochidis, S., & Kompatsiaris, I. (2025). Utilizing large language models for machine learning explainability. In Proceedings of MEDES 2025. https://doi.org/10.48550/arXiv.2510.06912
