| Sentiment analysis and affective computing for depression monitoring C Zucco, B Calabrese, M Cannataro 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 60 | 2017 |
| 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 | 52 | 2020 |
| 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 | 23 | 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 | 22 | 2020 |
| 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, 2020.12. 16.20247684, 2021 | 14 | 2021 |
| 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 | 11 | 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 | 9 | 2018 |
| 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 | 9 | 2016 |
| Data Mining in Bioinformatics C Zucco Encyclopedia of Bioinformatics and Computational Biology, ABC of …, 2018 | 6 | 2018 |
| 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 | 5 | 2020 |
| Multiple Learners Combination: Bagging C Zucco Academic Press, 2019 | 3 | 2019 |
| A Software Pipeline Based on Sentiment Analysis to Analyze Narrative Medicine Texts I Scarpino, C Zucco, M Cannataro International Conference on Computational Science, 587-593, 2021 | 1 | 2021 |
| A Software Pipeline for Pre-Processing and Mining EEG Signals: Application in Neurology C Zucco, B Calabrese, M Sturniolo, A Gambardella, M Cannataro Proceedings of the SEBD, 2021 | 1 | 2021 |
| What Are the Chances?—Hidden Markov Models AB Shiflet, GW Shiflet, M Cannataro, PH Guzzi, C Zucco, DA Kaplun An Introduction to Undergraduate Research in Computational and Mathematical …, 2020 | 1 | 2020 |
| Multiple Learners Combination: Cascading C Zucco Academic Press, 2019 | 1 | 2019 |
| 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 | | 2022 |
| 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 | | 2022 |
| Resting-State EEG Classification for PNES Diagnosis C Zucco, B Calabrese, R Mancuso, M Sturniolo, A Gambardella, ... International Conference on Computational Science, 526-538, 2022 | | 2022 |
| Characterization of Long COVID using text mining on narrative medicine texts I Scarpino, C Zucco, M Cannataro 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | | 2021 |
| Sentiment Analysis of medical questionnaires to improve adherence to telemonitoring programs C Zucco, C Paglia, S Graziano, S Bella, M Cannataro | | 2021 |
