The topics associated to the KMi publications listed in this page were automatically generated using the CSO Classifier, a solution developed by the SKM3 team in KMi. This technology has also been adopted by Springer Nature and is used routinely by them to generate automatically the metadata for all Computer Science conference proceedings they publish.
Larasati, R. (2026). Explainable AI Approach to Compare Predictive Drivers of Student Success for Disabled and Non-Disabled Learners. In: International Conference on Artificial Intelligence and Teacher Education (ICAITE 2025), 07-09 Dec 2025, Kyoto, Japan. https://oro.open.ac.uk/108447/.
Kwarteng, J., Third, A., Mikroyannidis, A., Tarrant, D. and Domingue, J. (2026). SAGE-RAI: Design Patterns for Transparent RAG Systems. In: The ACM Web Conference 2026 (WWW '26), 13-17 Apr 2026, Dubai, United Arab Emirates. https://oro.open.ac.uk/108348/.
Bayer, V. (2026). Leveraging Learning Analytics to Support Institutional Efforts in Addressing Awarding Gaps. [Thesis] https://oro.open.ac.uk/107979/.
Polilli, W., Galieni, A., Platani, C., Stagnari, F. and Antonini, A. (2026). Automated classification of plant water status through morpho-kinematic monitoring of plant movement. Computers and Electronics in Agriculture, 241 https://oro.open.ac.uk/107801/.
Anastasiou, L. and De Liddo, A. (2026). From Shallow Discourse to Structured Deliberation: The BCause Approach. In: Ardito, Carmelo; Junqueira Barbosa, Simone Diniz; Conte, Tayana; Freire, Andre; Gasparini, Isabela; Palanque, Philippe and Prates, Raquel eds. Human-Computer Interaction – INTERACT 2025. Lecture Notes in Computer Science (16111). Routledge, pp. 94–99. https://oro.open.ac.uk/106885/.
Aggarwal, T., Salatino, A., Osborne, F. and Motta, E. (2026). Large language models for scholarly ontology generation: An extensive analysis in the engineering field. Information Processing & Management, 63(1), https://oro.open.ac.uk/105868/.
