| Sentiment analysis for mining texts and social networks data: Methods and tools C Zucco, B Calabrese, G Agapito, PH Guzzi, M Cannataro Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (1 …, 2020 | 125 | 2020 |
| Sentiment analysis and affective computing for depression monitoring C Zucco, B Calabrese, M Cannataro 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 110 | 2017 |
| Explainable sentiment analysis with applications in medicine C Zucco, H Liang, G Di Fatta, M Cannataro 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 66 | 2018 |
| COVID-WAREHOUSE: A Data Warehouse of Italian COVID-19, Pollution, and Climate Data G Agapito, C Zucco, M Cannataro International journal of environmental research and public health 17 (15), 5596, 2020 | 53 | 2020 |
| Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: An international multi-centre observational cohort study BWL Tan, BWQ Tan, ALM Tan, ER Schriver, A Gutiérrez-Sacristán, P Das, ... Eclinicalmedicine 55, 101724, 2023 | 48 | 2023 |
| International analysis of electronic health records of children and youth hospitalized with COVID-19 infection in 6 countries FT Bourgeois, A Gutiérrez-Sacristán, MS Keller, M Liu, C Hong, ... JAMA network open 4 (6), e2112596-e2112596, 2021 | 33 | 2021 |
| Investigating topic modeling techniques to extract meaningful insights in Italian long COVID narration I Scarpino, C Zucco, R Vallelunga, F Luzza, M Cannataro BioTech 11 (3), 41, 2022 | 24 | 2022 |
| A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects G Varone, S Gasparini, E Ferlazzo, M Ascoli, GG Tripodi, C Zucco, ... Sensors 20 (4), 1235, 2020 | 21 | 2020 |
| Hospitalizations Associated With Mental Health Conditions Among Adolescents in the US and France During the COVID-19 Pandemic A Gutiérrez-Sacristán, A Serret-Larmande, MR Hutch, C Sáez, BJ Aronow, ... JAMA Network Open 5 (12), e2246548-e2246548, 2022 | 19 | 2022 |
| International comparisons of harmonized laboratory value trajectories to predict severe COVID-19: Leveraging the 4CE collaborative across 342 hospitals and 6 countries: A … GM Weber, C Hong, NP Palmer, P Avillach, SN Murphy, ... medRxiv, 2020 | 17 | 2020 |
| Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium F Sperotto, A Gutiérrez-Sacristán, S Makwana, X Li, VN Rofeberg, T Cai, ... EClinicalMedicine 64, 2023 | 12 | 2023 |
| Computational challenges for sentiment analysis in life sciences F Ciullo, C Zucco, B Calabrese, G Agapito, PH Guzzi, M Cannataro 2016 International Conference on High Performance Computing & Simulation …, 2016 | 11 | 2016 |
| Artificial Intelligence in Bioinformatics: From Omics Analysis to Deep Learning and Network Mining M Cannataro, PH Guzzi, G Agapito, C Zucco, M Milano Elsevier, 2022 | 9 | 2022 |
| COVID-19 Community Temporal Visualizer: A new methodology for the network-based analysis and visualization of COVID-19 data M Milano, C Zucco, M Cannataro Network Modeling Analysis in Health Informatics and Bioinformatics 10, 1-38, 2021 | 9 | 2021 |
| An Italian lexicon-based sentiment analysis approach for medical applications MC Martinis, C Zucco, M Cannataro Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022 | 8 | 2022 |
| Sentiment Analysis and Text Mining of Questionnaires to Support Telemonitoring Programs C Zucco, C Paglia, S Graziano, S Bella, M Cannataro Information 11 (12), 550, 2020 | 8 | 2020 |
| Predicting abandonment in telehomecare programs using Sentiment Analysis: a system proposal C Zucco, S Bella, C Paglia, P Tabarini, M Cannataro 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 8 | 2018 |
| Data Mining in Bioinformatics C Zucco Encyclopedia of Bioinformatics and Computational Biology, ABC of …, 2018 | 7 | 2018 |
| Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study A Dagliati, ZH Strasser, ZSH Abad, JG Klann, KB Wagholikar, R Mesa, ... Eclinicalmedicine 64, 2023 | 6 | 2023 |
| An Extensive Assessment of Network Embedding in PPI Network Alignment M Milano, C Zucco, M Settino, M Cannataro Entropy 24 (5), 730, 2022 | 6 | 2022 |
Mario CannataroFull Professor of Bioinformatics and Computer Engineering, University of Catanzaro, ItalyVerified email at unicz.it
