chiara zucco
chiara zucco
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Titel
Zitiert von
Zitiert von
Jahr
Sentiment analysis and affective computing for depression monitoring
C Zucco, B Calabrese, M Cannataro
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017
322017
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
102020
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
72018
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
72018
Data Mining in Bioinformatics
C Zucco
Encyclopedia of Bioinformatics and Computational Biology, ABC of …, 2018
52018
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
52016
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
22020
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
12020
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
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
12020
Multiple Learners Combination: Bagging
C Zucco
Academic Press, 2019
12019
Multiple Learners Combination: Cascading
C Zucco
Academic Press, 2019
12019
RELATIONSHIPS BETWEEN DEPRESSION, ANXIETY AND PERCEPTION OF BARRIERS TO ADHERENCE IN A CYSTIC FIBROSIS TELEHOMECARE PROGRAMME
C Paglia, C Zucco, S Graziano, P Tabarini, M Cannataro, S Bella
PEDIATRIC PULMONOLOGY 55, S269-S269, 2020
2020
A comprehensive machine learning-based software pipeline to classify EEG signals: a case study on PNES vs control subjects.
M Ascoli, G Varone, S Gasparini, E Ferlazzo, V Cianci, G Mastroianni, ...
EUROPEAN JOURNAL OF NEUROLOGY 27, 147-147, 2020
2020
La Sentiment analysis per il telehomecare
C Paglia, C Zucco, P Tabarini, S Graziano, S Bella, M Cannataro
SMART eLAB 14, 8-9, 2019
2019
Multiple Learners Combination: Boosting
C Zucco
Academic Press, 2019
2019
Multiple Learners Combination: Stacking
C Zucco
Academic Press, 2019
2019
Multiple Learners Combination: Introduction
C Zucco
Academic Press, 2019
2019
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