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2020 – today
- 2023
[j1]Mike Thelwall
, Kayvan Kousha, Paul Wilson, Meiko Makita, Mahshid Abdoli, Emma Stuart, Jonathan M. Levitt, Petr Knoth, Matteo Cancellieri:
Predicting article quality scores with machine learning: The U.K. Research Excellence Framework. Quant. Sci. Stud. 4(2): 547-573 (2023)- [c5]David Pride, Matteo Cancellieri, Petr Knoth:
CORE-GPT: Combining Open Access Research and Large Language Models for Credible, Trustworthy Question Answering. TPDL 2023: 146-159 - [i3]David Pride, Matteo Cancellieri, Petr Knoth:
CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answering. CoRR abs/2307.04683 (2023) - 2022
- [c4]David Pride, Matteo Cancellieri, Petr Knoth:
Cui Bono? Cumulative Advantage in Open Access Publishing. TPDL 2022: 260-265 - [i2]Mike Thelwall, Kayvan Kousha, Mahshid Abdoli, Emma Stuart, Meiko Makita, Paul Wilson, Jonathan M. Levitt, Petr Knoth, Matteo Cancellieri:
Predicting article quality scores with machine learning: The UK Research Excellence Framework. CoRR abs/2212.05415 (2022)
2010 – 2019
- 2017
- [c3]Matteo Cancellieri, Nancy Pontika, Samuel Pearce, Lucas Anastasiou, Petr Knoth:
Building Scalable Digital Library Ingestion Pipelines Using Microservices. MTSR 2017: 275-285 - [i1]Petr Knoth, Lucas Anastasiou, Aristotelis Charalampous, Matteo Cancellieri, Samuel Pearce, Nancy Pontika, Vaclav Bayer:
Towards effective research recommender systems for repositories. CoRR abs/1705.00578 (2017) - 2015
- [c2]Nancy Pontika, Petr Knoth, Matteo Cancellieri, Samuel Pearce:
Fostering open science to research using a taxonomy and an eLearning portal. I-KNOW 2015: 11:1-11:8 - 2012
- [c1]Stefano Salsano, Andrea Detti, Matteo Cancellieri, Matteo Pomposini, Nicola Blefari-Melazzi:
Transport-layer issues in information centric networks. ICN 2012: 19-24
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