Rosario Catelli

According to our database, Rosario Catelli authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy.

Rosario Catelli, Serena Pelosi, Carmela Comito, Clara Pizzuti, Massimo Esposito

Comput. Biol. Medicine, May, 2023

A New Italian Cultural Heritage Data Set: Detecting Fake Reviews With BERT and ELECTRA Leveraging the Sentiment.

Rosario Catelli, Luca Bevilacqua, Nicola Mariniello, Vladimiro Scotto di Carlo, Massimo Magaldi, Hamido Fujita, Giuseppe De Pietro, Massimo Esposito

IEEE Access, 2023

MobiSpaces: An Architecture for Energy-Efficient Data Spaces for Mobility Data.

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

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Deceptive reviews and sentiment polarity: Effective link by exploiting BERT.

Rosario Catelli, Hamido Fujita, Giuseppe De Pietro, Massimo Esposito

Expert Syst. Appl., 2022

Cross lingual transfer learning for sentiment analysis of Italian TripAdvisor reviews.

Rosario Catelli, Luca Bevilacqua, Nicola Mariniello, Vladimiro Scotto di Carlo, Massimo Magaldi, Hamido Fujita, Giuseppe De Pietro, Massimo Esposito

Expert Syst. Appl., 2022

2021

An Effective BERT-Based Pipeline for Twitter Sentiment Analysis: A Case Study in Italian.

Marco Pota, Mirko Ventura, Rosario Catelli, Massimo Esposito

Sensors, 2021

Combining contextualized word representation and sub-document level analysis through Bi-LSTM+CRF architecture for clinical de-identification.

Rosario Catelli, Valentina Casola, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito

Knowl. Based Syst., 2021

A Novel COVID-19 Data Set and an Effective Deep Learning Approach for the De-Identification of Italian Medical Records.

Rosario Catelli, Francesco Gargiulo, Valentina Casola, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito

IEEE Access, 2021

Clinical de-identification using sub-document analysis and ELECTRA.

Rosario Catelli, Francesco Gargiulo, Emanuele Damiano, Massimo Esposito, Giuseppe De Pietro

Proceedings of the IEEE International Conference on Digital Health, 2021

2020

Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set.

Rosario Catelli, Francesco Gargiulo, Valentina Casola, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito

Appl. Soft Comput., 2020

2019

The Applicability of a SIEM Solution: Requirements and Evaluation.

Hassan Mokalled, Rosario Catelli, Valentina Casola, Daniele Debertol, Ermete Meda, Rodolfo Zunino

Proceedings of the 28th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2019

A First Step Towards an ISO-Based Information Security Domain Ontology.

Valentina Casola, Rosario Catelli, Alessandra De Benedictis

Proceedings of the 28th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2019