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Matteo CancellieriMember status icon

Lead Developer - Open Research
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Works on improving and and maintaining CORE (http://core.ac.uk) FOSTER (http://fosteropenscience.eu) and Stories Of Change (http://storiesofchange.ac.uk). Once he was a Super Mario plumber.

Team: Valeriy Budko, Petr Knoth, Nancy Pontika, David Pride, Mologadi Ramushu, Friedrich Summann, Besik Tsiklauri, Andrew Vasilyev, Anton Zhuk

News

02 Jul 2025


04 Apr 2025


20 Mar 2025


18 Dec 2024


20 Mar 2024

Publications

Publications | Visit External Site for Details Publications | doi 

Cancellieri, M., El-Ebshihy, A., Fink, T., Galuščáková, P., Gonzalez-Saez, G., Goeuriot, L., Iommi, D., Keller, J., Knoth, P., Mulhem, P., Piroi, F., Pride, D. and Schaer, P. (2025) LongEval at CLEF 2025: Longitudinal Evaluation of IR Model Performance Advances in Information Retrieval: 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part V, eds. Claudia Hauff,Craig Macdonald,Dietmar Jannach,Gabriella Kazai,Franco Maria Nardini,Fabio Pinelli,Fabrizio Silvestri,Nicola Tonellotto, 15576, pp. 382-388, Springer

Publications | Visit External Site for Details  

Knoth, P., Lopez, P., Laurent, R., Cosmo, R., Smrz, P., Umerle, T., Harrison, M., Monteil, A., Cancellieri, M. and Pride, D. (2024) Making Software FAIR: A machine-assisted workflow for the research software lifecycle, 19th International Conference on Open Repositories (OR2024), Göteborg, Sweden

Publications | Visit External Site for Details  

Knoth, P., Klein, M., Macgregor, G., Cancellieri, M. and Walk, P. (2024) How to make repository content indexed and discoverable, The 19th International Conference on Open Repositories, Göteborg, Sweden

Publications | Visit External Site for Details  

Pride, D., Cancellieri, M. and Knoth, P. (2023) CORE-GPT: Combining Open Access Research and Large Language Models for Credible, Trustworthy Question Answering, International Conference on Theory and Practice of Digital Libraries TPDL 2023: Linking Theory and Practice of Digital Libraries, Zadar, Croatia

Publications | Visit External Site for Details Publications | doi 

Thelwall, M., Kousha, K., Wilson, P., Makita, M., Abdoli, M., Stuart, E., Levitt, J., Knoth, P. and Cancellieri, M. (2023) Predicting article quality scores with machine learning: The UK Research Excellence Framework, Quantitative Science Studies, pp. (early access), MIT Press

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