Publications

All research publications are available to access on the project’s Zenodo page.

Journal Articles

Cabrera Martin, I., Mukherjee, S., Baimagambetov, A., Vanschoren, J., & Polatidis, N. (2026). Evolving Machine Learning in Non-Stationary Environments: A Unified Survey of Drift, Forgetting, and Adaptation. Applied Artificial Intelligence, 40(1). https://www.tandfonline.com/doi/full/10.1080/08839514.2026.2707047
Cabrera Martin, I., Trovati, M., Baimagambetov, A., & Polatidis, N. (2026). Cluster-specific localized drift detection for efficient batch model adaptation under controlled distribution shift. Expert Systems with Applications, 331, 133370. https://doi.org/10.1016/j.eswa.2026.133370
Harris, S., Thong Ta, V., Trovati, M., Nakhla, G., Latif, F., & Korkontzelos, I. (2026). Multimodal misinformation detection across diverse languages using RAG and LLMs. Journal of Intelligent Information Systems, 64(4), 1719–1746. https://doi.org/10.1007/s10844-026-01042-x
McDonagh, S. A., & Orero, P. (2026). Environmental Context as a Critical Factor in Clear Communication: Lessons from a Failed Intervention. Sphera Publica, 1(26), 9–25. https://doi.org/10.5281/zenodo.21700141
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
Oncins, E., Serrat-Roozen, I., & Orero, P. (2026). AI-driven sign language interpreting avatars: Navigating challenges to address communication gaps. Universal Access in the Information Society, 25. https://link.springer.com/article/10.1007/s10209-026-01388-7
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-yGavornik, A., & Podroužek, J. (2025). Towards Moral Sensitivity in AI Practice (SSRN Scholarly Paper No. 5195678). Social Science Research Network.

Conference Proceedings

Gavornik, A., & Podroužek, J. (2025). Adopting Moral Sensitivity for Evaluation of Trustworthy AI Frameworks. ETHICOMP 2025: 22nd International Conference on the Ethical and Social Impacts of ICT. https://hdl.handle.net/11144/7468
Lamprou, Z., Christodoulou, G., & Avgerinakis, K. (2026). Driver Drowsiness Detection on the Edge. ITU Kaleidoscope Academic Conference. https://doi.org/10.5281/zenodo.21512007
Oncins, E., Orero, P., & Iris, S. R. (2026). Artificial Intelligence Driven Sign Language Interpreting Avatars. AI and Frontier Technologies for Good. ITU Kaleidoscope. https://zenodo.org/records/21496346
Uwasomba, C., Nnamoko, N., & Korkontzelos, Y. (2026). 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. (2026). 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

Book Chapters

Serrat, I., Orero, P., & Oncins, E. (2026). Artificial Intelligence in Europe: Challenges and Opportunities towards Communication for All. In Tecnologías emergentes y sociedad conectada: Automatización, datos y mediaciones contemporáneas (pp. 647–662). https://doi.org/10.5281/zenodo.22856299