| SC-32 A machine learning tool to operationalize intrinsic capacity in predicting recovery from post-acute sequelae COVID-19 V Guidetti, F Motta, J Milic, A Tili, V Todisco, M Pellegrino, A Gallerani, ... Sexually Transmitted Infections 100 (Suppl 1), A102-A103, 2024 | | 2024 |
| Symbolic Regression for Transparent Clinical Decision Support: A Data-Centric Framework for Scoring System Development V Guidetti, F Mandreoli | | 2024 |
| A Machine Learning Approach to Predict Weight Change in ART-Experienced People Living With HIV F Motta, J Milic, L Gozzi, M Belli, L Sighinolfi, G Cuomo, F Carli, G Dolci, ... JAIDS Journal of Acquired Immune Deficiency Syndromes 94 (5), 474-481, 2023 | | 2023 |
| A Data-Driven Identification of People Recovering from Post-Acute Sequelae of SARS-CoV-2 Infection (PASC) F Motta, J Milic, V Guidetti, M Belli, M Simion, F Romani, B Beghetto, ... | | 2023 |
| Death After Liver Transplantation: Mining Interpretable Risk Factors for Survival Prediction V Guidetti, G Dolci, E Franceschini, E Bacca, GJ Burastero, D Ferrari, ... 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | 1 | 2023 |
| Preface of the 31st Italian Symposium on Advanced Database Systems D Calvanese, N Ferro, C Diamantini, G Silvello, S Marchesin, L Tanca, ... CEUR Workshop Proceedings 3478, i-iv, 2023 | | 2023 |
| Automated Knowledge Graph Completion for Natural Language Understanding: Known Paths and Future Directions G Buzzega, V Guidetti, F Mandreoli, L Mariotti, A Belli, P Lombardi CEUR WORKSHOP PROCEEDINGS 3478, 160-172, 2023 | | 2023 |
| Multi-objective symbolic regression for data-driven scoring system management D Ferrari, V Guidetti, F Mandreoli 2022 IEEE International Conference on Data Mining (ICDM), 945-950, 2022 | 4 | 2022 |
| The interplay of post-acute COVID-19 syndrome and aging: A biological, clinical and public health approach G Guaraldi, J Milic, M Cesari, L Leibovici, F Mandreoli, P Missier, ... Ageing Research Reviews 81, 101686, 2022 | 9 | 2022 |
| Real-world data mining meets clinical practice: Research challenges and perspective F Mandreoli, D Ferrari, V Guidetti, F Motta, P Missier Frontiers in big Data 5, 1021621, 2022 | 10 | 2022 |
| miRNAs copy number variations repertoire as hallmark indicator of cancer species predisposition C Vischioni, F Bove, M De Chiara, F Mandreoli, R Martoglia, V Pisi, G Liti, ... Genes 13 (6), 1046, 2022 | 6 | 2022 |
| A predictive method to improve the effectiveness of twitter communication in a cultural heritage scenario M Furini, F Mandreoli, R Martoglia, M Montangero ACM Journal on Computing and Cultural Heritage (JOCCH) 15 (2), 1-18, 2022 | 12 | 2022 |
| Visual exploratory data analysis for copy number variation studies in biomedical research C Vischioni, F Bove, F Mandreoli, R Martoglia, V Pisi, C Taccioli Big Data Research 27, 100298, 2022 | 7 | 2022 |
| Data-Driven, AI-Based Clinical Practice D Ferrari, F Mandreoli, F Motta, P Missier | | 2022 |
| Machine learning algorithm to predict> 5% weight gain in PWH switching to INSTI G Guaraldi, F Motta, J Milić, B Sara, L Gozzi, A Emanuele, B Michela, ... Special Issue: Posters from the 2022 Conference on Retroviruses and …, 2022 | 2 | 2022 |
| Machine learning algorithm to predict weight change in ART experienced PWH F Motta, J Milić, S Barbieri, L Gozzi, E Aprile, M Belli, M Venuta, G Cuomo, ... Abstract Book, ICAR 2022 14, 15-15, 2022 | | 2022 |
| Data-driven, AI-based clinical practice: experiences, challenges, and research directions D Ferrari, F Mandreoli, F Motta, P Missier CEUR Workshop Proceedings 3194, 392-403, 2022 | 1 | 2022 |
| Work datafication and digital work behavior analysis as a source of HRM insights T Fabbri, AC Scapolan, F Bertolotti, F Mandreoli, R Martoglia Do Machines Dream of Electric Workers? Understanding the Impact of Digital …, 2022 | 4 | 2022 |
| Unleashing the power of querying streaming data in a temporal database world: A relational algebra approach F Grandi, F Mandreoli, R Martoglia, W Penzo Information Systems 103, 101872, 2022 | 8 | 2022 |
| An HMM–ensemble approach to predict severity progression of ICU treatment for hospitalized COVID–19 patients F Mandreoli, F Motta, P Missier 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 3 | 2021 |
Riccardo MartogliaFIM - University of Modena and Reggio EmiliaVerified email at unimo.it
