Michael Soprano
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Reproduce and improve: An evolutionary approach to select a few good topics for information retrieval evaluation
K Roitero, M Soprano, A Brunello, S Mizzaro
Journal of Data and Information Quality (JDIQ) 10 (3), 1-21, 2018
Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor's Background
K Roitero, M Soprano, S Fan, D Spina, S Mizzaro, G Demartini
arXiv preprint arXiv:2005.06915, 2020
Crowdsourcing peer review: As we may do
M Soprano, S Mizzaro
Italian Research Conference on Digital Libraries, 259-273, 2019
Effectiveness evaluation with a subset of topics: A practical approach
K Roitero, M Soprano, S Mizzaro
The 41st International ACM SIGIR Conference on Research & Development iná…, 2018
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?
K Roitero, M Soprano, B Portelli, D Spina, V Della Mea, G Serra, ...
arXiv preprint arXiv:2008.05701, 2020
HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis.
M Soprano, K Roitero, S Mizzaro
BIRNDL@ SIGIR, 70-82, 2019
Crowdsourcing Peer Review in the Digital Humanities?
M Soprano, S Mizzaro
Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Models
M Soprano, K Roitero, S Mizzaro
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