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2020 – today
- 2024
[j9]Raffaele Guarasci
, Rosario Catelli, Massimo Esposito:
Classifying deceptive reviews for the cultural heritage domain: A lexicon-based approach for the Italian language. Expert Syst. Appl. 252: 124131 (2024)- 2023
- [j8]Rosario Catelli, Luca Bevilacqua, Nicola Mariniello, Vladimiro Scotto di Carlo, Massimo Magaldi, Hamido Fujita, Giuseppe De Pietro, Massimo Esposito:
A New Italian Cultural Heritage Data Set: Detecting Fake Reviews With BERT and ELECTRA Leveraging the Sentiment. IEEE Access 11: 52214-52225 (2023) - [j7]Rosario Catelli, Serena Pelosi, Carmela Comito, Clara Pizzuti, Massimo Esposito:
Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy. Comput. Biol. Medicine 158: 106876 (2023) - [c4]Christos Doulkeridis, Georgios M. Santipantakis, Nikolaos Koutroumanis, George Makridis, Vasilis Koukos, George S. Theodoropoulos, Yannis Theodoridis, Dimosthenis Kyriazis, Pavlos Kranas, Diego Burgos, Ricardo Jiménez-Peris, Mariana M. G. Duarte, Mahmoud Attia Sakr, Esteban Zimányi, Anita Graser, Clemens Heistracher, Kristian Torp, Ioannis Chrysakis, Theofanis Orphanoudakis, Evgenia Kapassa, Marios Touloupou, Jürgen Neises, Petros Petrou, Sophia Karagiorgou, Rosario Catelli, Domenico Messina, Marcelo Corrales Compagnucci, Matteo Falsetta:
MobiSpaces: An Architecture for Energy-Efficient Data Spaces for Mobility Data. IEEE Big Data 2023: 1487-1494 - 2022
- [j6]Rosario Catelli, Luca Bevilacqua, Nicola Mariniello, Vladimiro Scotto di Carlo, Massimo Magaldi, Hamido Fujita, Giuseppe De Pietro, Massimo Esposito:
Cross lingual transfer learning for sentiment analysis of Italian TripAdvisor reviews. Expert Syst. Appl. 209: 118246 (2022) - [j5]Rosario Catelli, Hamido Fujita, Giuseppe De Pietro, Massimo Esposito:
Deceptive reviews and sentiment polarity: Effective link by exploiting BERT. Expert Syst. Appl. 209: 118290 (2022) - 2021
- [j4]Rosario Catelli, Francesco Gargiulo, Valentina Casola, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito:
A Novel COVID-19 Data Set and an Effective Deep Learning Approach for the De-Identification of Italian Medical Records. IEEE Access 9: 19097-19110 (2021) - [j3]Rosario Catelli, Valentina Casola, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito:
Combining contextualized word representation and sub-document level analysis through Bi-LSTM+CRF architecture for clinical de-identification. Knowl. Based Syst. 213: 106649 (2021) - [j2]Marco Pota, Mirko Ventura, Rosario Catelli, Massimo Esposito:
An Effective BERT-Based Pipeline for Twitter Sentiment Analysis: A Case Study in Italian. Sensors 21(1): 133 (2021) - [c3]Rosario Catelli, Francesco Gargiulo, Emanuele Damiano, Massimo Esposito, Giuseppe De Pietro:
Clinical de-identification using sub-document analysis and ELECTRA. ICDH 2021: 266-275 - 2020
- [j1]Rosario Catelli, Francesco Gargiulo, Valentina Casola, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito:
Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set. Appl. Soft Comput. 97(Part): 106779 (2020)
2010 – 2019
- 2019
- [c2]Hassan Mokalled, Rosario Catelli, Valentina Casola, Daniele Debertol, Ermete Meda, Rodolfo Zunino:
The Applicability of a SIEM Solution: Requirements and Evaluation. WETICE 2019: 132-137 - [c1]Valentina Casola, Rosario Catelli, Alessandra De Benedictis:
A First Step Towards an ISO-Based Information Security Domain Ontology. WETICE 2019: 334-339
Coauthor Index
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last updated on 2024-10-07 22:15 CEST by the dblp team
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