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chiara zucco
chiara zucco
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Title
Cited by
Cited by
Year
Sentiment analysis and affective computing for depression monitoring
C Zucco, B Calabrese, M Cannataro
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017
602017
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
522020
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
232018
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
222020
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
142021
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
112020
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
92018
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
92016
Data Mining in Bioinformatics
C Zucco
Encyclopedia of Bioinformatics and Computational Biology, ABC of …, 2018
62018
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
52020
Multiple Learners Combination: Bagging
C Zucco
Academic Press, 2019
32019
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
12021
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
12021
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
12020
Multiple Learners Combination: Cascading
C Zucco
Academic Press, 2019
12019
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
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