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)