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.
Innominato, P., Macdonald, J., Saxton, W., Longshaw, L., Granger, R., Naja, I., Allocca, C., Edwards, R., Rasheed, S., Folkvord, F., de Batle, J., Ail, R., Motta, E., Bale, C., Fuller, C., Mullard, A., Subbe, C., Griffiths, D., Wreglesworth, N., Pecchia, L., Fico, G. and Antonini, A. (2024). Digital remote monitoring using a mobile health solution in cancer survivors: an observational pilot trial protocol. JMIR Research Protocols, 12 https://oro.open.ac.uk/102625/.
Kusa, W., E. Mendoza, O., Samwald, M., Knoth, P. and Hanbury, A. (2024). CSMED: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews. In: 37th Conference on Neural Information Processing Systems (NeurIPS 2023): Track on Datasets and Benchmarks., 10 Dec 2023, New Orleans, USA.. https://oro.open.ac.uk/102450/.
Knoth, P., Klein, M., Macgregor, G., Cancellieri, M. and Walk, P. (2024). How to make repository content indexed and discoverable. In: The 19th International Conference on Open Repositories, 03-06 Jun 2024, Göteborg, Sweden. https://oro.open.ac.uk/102474/.
George, M., Knoth, P., Walk, P., Dowson, N., Eadie, M., Jones, B. and Martínez-García, A. (2024). Exploring the concept of 'custodianship' in harvesting repository resources and graphing their relations: Rioxx version 3. 0. In: The 19th International Conference on Open Repositories, 03-06 Jun 2024, Göteborg, Sweden. https://oro.open.ac.uk/102475/.
Zhao, X., Fabbrizzi, S., Reyero Lobo, P., Ghodsi, S., Broelemann, K., Staab, S. and Kasneci, G. (2024). Adversarial Reweighting Guided by Wasserstein Distance to Achieve Demographic Parity. In: 2024 IEEE International Conference on Big Data, 15-18 Dec 2024, Washington, DC, USA. https://oro.open.ac.uk/102425/.
Altoe, F., Burel, G., Pinto, S.M.G., Alani, H. and Pinto, H. (2024). Towards AI-mediated Meme Generation for Misinformation Correction Explanation. In: 1st Multimodal, Affective and Interactive eXplainable AI Workshop, MAI-XAI24 2024, 19 Oct 2024, Santiago de Compostela. https://oro.open.ac.uk/102051/.
Daga, E., Damiano, R., Díaz-Kommonen, L., Kuflik, T. and Striani, M. (2024). Introduction to the Special Issue on Extended Intelligence for Cultural Engagement. Journal on Computing and Cultural Heritage, 17(4), https://oro.open.ac.uk/101724/.
Onyebuchukwu, O. (2024). Research Companion App. Knowledge Media Institute, The Open University, Milton Keynes, UK. https://oro.open.ac.uk/100824/.
Obiogbolu, K.I. (2024). Analyse Large language models and evaluate their usage inside CORE-QA. Which model performs better? Which model is the best compromise in terms of cost, accuracy, and performance? Knowledge Media Institute, The Open University, Milton Keynes, UK. https://oro.open.ac.uk/100808/.
Aggarwal, T., Salatino, A., Osborne, F. and Motta, E. (2024). Identifying Semantic Relationships Between Research Topics Using Large Language Models in a Zero-Shot Learning Setting. In: 4th International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment, Sci-K 2024, 12 Nov 2024, Baltimore. https://oro.open.ac.uk/101266/.
Tsaneva, S., Dessì, D., Osborne, F. and Sabou, M. (2024). Enhancing Scientific Knowledge Graph Generation Pipelines with LLMs and Human-in-the-Loop. In: 4th International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment, Sci-K 2024, 12 Nov 2024, Baltimore. https://oro.open.ac.uk/101265/.
Motta, E., Osborne, F., Pulici, M.M., Salatino, A. and Naja, I. (2024). Capturing the Viewpoint Dynamics in the News Domain. In: Proceedings of the 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-24), 26-28 Nov 2024, Amsterdam, Netherlands. https://oro.open.ac.uk/100046/.
Carvalho, J., Daga, E., Mulholland, P., Asprino, L., Uwasomba, C., Daquino, M., Gangemi, A., Maguire, M. and Stoneman, A. (2024). Integrating Citizen Experiences in Cultural Heritage Archives with a Linked Non-Open Data Hub. Journal on Computing and Cultural Heritage, 17(4), https://oro.open.ac.uk/100981/.
Ao, S., Rüger, S. and Siddharthan, A. (2024). CSS: Contrastive Semantic Similarities for Uncertainty Quantification of LLMs. In: 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024), 15-19 Jul 2024, Barcelona, Spain. https://oro.open.ac.uk/100908/.
Knight, S., Viberg, O., Mavrikis, M., Kovanović, V., Khosravi, H., Ferguson, R., Corrin, L., Thompson, K., Major, L., Lodge, J., Hennessy, S. and Cukurova, M. (2024). Emerging technologies and research ethics: Developing editorial policy using a scoping review and reference panel. PLOS ONE, 19(10), https://oro.open.ac.uk/100851/.
Dodd, M., Döring, M., Valentine, C., Siddharthan, A. and Ansine, J. (2024). Updating Species Dictionaries in the Citizen Science Platform iSpotnature. org with the Help of Its User Community and ChecklistBank. Biodiversity Information Science and Standards, 8 https://oro.open.ac.uk/100687/.
Innominato, P.F., Wreglesworth, N.I., Antonini, A. and Buchwald, Z.S. (2024). Drug's Journey of a Thousand Papers Begins With a Single Step. JCO Clinical Cancer Informatics, 8 https://oro.open.ac.uk/100487/.
Benatti, F. and Antonini, A. (2024). On the margins and at the centre. New Review of Hypermedia and Multimedia, 30(1-2), pp. 1–7. https://oro.open.ac.uk/100423/.
Pisu, A., Pompianu, L., Salatino, A., Osborne, F., Riboni, D., Motta, E. and Reforgiato Recupero, D. (2024). Classifying Scientific Topic Relationships with SciBERT. In: Joint Proc. of Posters, Demos, Workshops, and Tutorials of the 20th Int.l Conf. on Semantic Systems (SEMANTiCS 2024), 17-19 Sep 2024, Amsterdam. https://oro.open.ac.uk/100269/.
Mikroyannidis, A., Third, A. and Domingue, J. (2024). Blockchain-based decentralised micro-accreditation for lifelong learning. Interactive Learning Environments, 33(3), pp. 2201–2215. https://oro.open.ac.uk/100059/.
