| 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 | 18 | 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 | 3 | 2021 |
| A software pipeline based on sentiment analysis to analyze narrative medicine texts I Scarpino, C Zucco, M Cannataro Computational Science–ICCS 2021: 21st International Conference, Krakow …, 2021 | 3 | 2021 |
| Investigating the Sentiment in Italian Long-COVID Narrations MC Martinis, I Scarpino, C Zucco, M Cannataro International Conference on Computational Science, 678-690, 2023 | | 2023 |
| Machine Learning Approaches in Inflammatory Bowel Disease I Scarpino, R Vallelunga, F Luzza, M Cannataro International Conference on Computational Science, 539-545, 2022 | | 2022 |
| Investigating Topic Modeling Techniques to Extract Meaningful Insights in Italian Long COVID Narration. BioTech 2022, 11, 41 I Scarpino, C Zucco, R Vallelunga, F Luzza, M Cannataro s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
