MARIACRISTINA GALLO | Publications
MARIACRISTINA GALLO Publications
2021 | |
Articolo in rivista | |
Data set quality in Machine Learning: Consistency measure based on Group Decision Making APPLIED SOFT COMPUTING. Vol. 106. Pag.107366-107376 ISSN:1568-4946. | |
Fenza, G.; Gallo, M.; Loia, V.; Orciuoli, F.; Herrera-Viedma, E. | |
Digital Object Identifier (DOI): 10.1016/j.asoc.2021.107366 Codice identificativo ISI: WOS:000653738000011 Codice identificativo SCOPUS: 2-s2.0-85103693026 | |
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2021 | |
Articolo in rivista | |
Pharmacovigilance in the era of social media: Discovering adverse drug events cross-relating Twitter and PubMed FUTURE GENERATION COMPUTER SYSTEMS. Vol. 114. Pag.394-402 ISSN:0167-739X. | |
De Rosa, M.; Fenza, G.; Gallo, A.; Gallo, M.; Loia, V. | |
Digital Object Identifier (DOI): 10.1016/j.future.2020.08.020 Codice identificativo ISI: WOS:000579186700034 Codice identificativo SCOPUS: 2-s2.0-85089802549 | |
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2021 | |
Articolo in rivista | |
NSL-BP: A Meta Classifier Model Based Prediction of Amazon Product Reviews INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE. Vol. 6. Pag.95-103 ISSN:1989-1660. | |
Kumar, P; Dayal, M; Khari, M; Fenza, G; Gallo, M | |
Digital Object Identifier (DOI): 10.9781/ijimai.2020.10.001 Codice identificativo ISI: WOS:000657570700011 Codice identificativo SCOPUS: 2-s2.0-85108556443 | |
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2021 | |
Contributo in Atti di convegno | |
Group Decision Making as Consistency Measure for Learning To Rank. In: IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications 345 E 47TH ST, NEW YORK, NY 10017 USA IEEE Pag.1-6 ISBN:978-1-6654-1249-0 | |
IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2021 Hong Kong June, 2021 | |
Fenza, G; Gallo, M; Loia, V; Nota, Fd; Orciuoli, F; Herrera-Viedma, E | |
Digital Object Identifier (DOI): 10.1109/CIVEMSA52099.2021.9493582 Codice identificativo ISI: WOS:000858899100007 Codice identificativo SCOPUS: 2-s2.0-85112376897 | |
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2021 | |
Contributo in Atti di convegno | |
Unmask inflated product reviews through Machine Learning. In: IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2021 345 E 47TH ST, NEW YORK, NY 10017 USA IEEE Pag.1-6 ISBN:978-1-6654-1249-0 | |
IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2021 Hong Kong June, 2021 | |
Bangerter, Ml; Fenza, G; Gallo, M; Genovese, A; Nota, Fd; Stanzione, C; Zanfardino, G | |
Digital Object Identifier (DOI): 10.1109/CIVEMSA52099.2021.9493576 Codice identificativo ISI: WOS:000858899100001 Codice identificativo SCOPUS: 2-s2.0-85112393915 | |
Show it in Product Database (IRIS) |