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Predicting Abandonment in Telehomecare Programs Using Sentiment Analysis: A System Proposal.

, , , , and . BIBM, page 1734-1739. IEEE Computer Society, (2018)

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Multiple Learners Combination: Cascading.. Encyclopedia of Bioinformatics and Computational Biology (1), Elsevier, (2019)COVID-19 Community Temporal Visualizer: a new methodology for the network-based analysis and visualization of COVID-19 data., , and . Netw. Model. Anal. Health Informatics Bioinform., 10 (1): 46 (2021)A software pipeline for pre-processing and mining EEG signals: application in neurology (Discussion Paper)., , , , and . SEBD, volume 2994 of CEUR Workshop Proceedings, page 307-314. CEUR-WS.org, (2021)Explainable Sentiment Analysis with Applications in Medicine., , , and . BIBM, page 1740-1747. IEEE Computer Society, (2018)Resting-State EEG Classification for PNES Diagnosis., , , , , and . ICCS (1), volume 13351 of Lecture Notes in Computer Science, page 526-538. Springer, (2022)Investigating the Sentiment in Italian Long-COVID Narrations., , , and . ICCS (2), volume 14074 of Lecture Notes in Computer Science, page 678-690. Springer, (2023)An Italian lexicon-based sentiment analysis approach for medical applications., , and . BCB, page 70:1-70:4. ACM, (2022)Multiple Learners Combination: Bagging.. Encyclopedia of Bioinformatics and Computational Biology (1), Elsevier, (2019)Sentiment analysis for mining texts and social networks data: Methods and tools., , , , and . WIREs Data Mining Knowl. Discov., (2020)A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects., , , , , , , , and . Sensors, 20 (4): 1235 (2020)