| Surveilling COVID-19 emotional contagion on twitter by sentiment analysis C Crocamo, M Viviani, L Famiglini, F Bartoli, G Pasi, G Carrà European Psychiatry 64 (1), e17, 2021 | 60 | 2021 |
| Prediction of ICU admission for COVID-19 patients: a machine learning approach based on complete blood count data L Famiglini, G Bini, A Carobene, A Campagner, F Cabitza 2021 IEEE 34th international symposium on computer-based medical systems …, 2021 | 25 | 2021 |
| How is test laboratory data used and characterised by machine learning models? A systematic review of diagnostic and prognostic models developed for COVID-19 patients using … A Carobene, F Milella, L Famiglini, F Cabitza Clinical Chemistry and Laboratory Medicine (CCLM) 60 (12), 1887-1901, 2022 | 24 | 2022 |
| A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients L Famiglini, A Campagner, A Carobene, F Cabitza Medical & biological engineering & computing, 1-13, 2022 | 23 | 2022 |
| Color shadows (part i): Exploratory usability evaluation of activation maps in radiological machine learning F Cabitza, A Campagner, L Famiglini, E Gallazzi, GA La Maida International Cross-Domain Conference for Machine Learning and Knowledge …, 2022 | 9 | 2022 |
| Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram M Barandas, L Famiglini, A Campagner, D Folgado, R Simão, F Cabitza, ... Information Fusion 101, 101978, 2024 | 8 | 2024 |
| Let me think! Investigating the effect of explanations feeding doubts about the ai advice F Cabitza, A Campagner, L Famiglini, C Natali, V Caccavella, E Gallazzi International Cross-Domain Conference for Machine Learning and Knowledge …, 2023 | 5 | 2023 |
| Application of machine learning to improve appropriateness of treatment in an orthopaedic setting of personalized medicine F Milella, L Famiglini, G Banfi, F Cabitza Journal of Personalized Medicine 12 (10), 1706, 2022 | 5 | 2022 |
| Explainability meets uncertainty quantification: Insights from feature-based model fusion on multimodal time series D Folgado, M Barandas, L Famiglini, R Santos, F Cabitza, H Gamboa Information Fusion 100, 101955, 2023 | 4 | 2023 |
| Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use L Famiglini, A Campagner, F Cabitza ECAI 2023, 645-652, 2023 | 4 | 2023 |
| Never tell me the odds: Investigating pro-hoc explanations in medical decision making F Cabitza, C Natali, L Famiglini, A Campagner, V Caccavella, E Gallazzi Artificial Intelligence in Medicine 150, 102819, 2024 | 3 | 2024 |
| Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems L Famiglini, A Campagner, M Barandas, GA La Maida, E Gallazzi, ... Computers in Biology and Medicine 170, 108042, 2024 | 3 | 2024 |
| Color shadows 2: Assessing the impact of xai on diagnostic decision-making C Natali, L Famiglini, A Campagner, GA La Maida, E Gallazzi, F Cabitza World Conference on Explainable Artificial Intelligence, 618-629, 2023 | 3 | 2023 |
| Everything is varied: the surprising impact of individual variation on ML robustness in Medicine A Campagner, L Famiglini, A Carobene, F Cabitza arXiv preprint arXiv:2210.04555, 2022 | 3 | 2022 |
| Global interpretable calibration index, a new metric to estimate machine learning models’ Calibration F Cabitza, A Campagner, L Famiglini International Cross-Domain Conference for Machine Learning and Knowledge …, 2022 | 3 | 2022 |
| Everything is varied: The surprising impact of instantial variation on ML reliability A Campagner, L Famiglini, A Carobene, F Cabitza Applied Soft Computing 146, 110644, 2023 | 2 | 2023 |
| Re-calibrating machine learning models using confidence interval bounds A Campagner, L Famiglini, F Cabitza International Conference on Modeling Decisions for Artificial Intelligence …, 2022 | 2 | 2022 |
| On the generalization of figurative language detection: the case of irony and sarcasm L Famiglini, E Fersini, P Rosso International Conference on Applications of Natural Language to Information …, 2021 | 2 | 2021 |
| Coloured shadows: understanding the value of visual aided diagnosis through AI-generated saliency maps E Gallazzi, L Famiglini, GA La Maida, PD Giorgi, B Misaggi, F Cabitza Orthopaedic Proceedings 104 (SUPP_14), 20-20, 2022 | 1 | 2022 |
| Machine learning and laboratory values in the diagnosis, prognosis and vaccination strategy of COVID-19 A Carobene, L Famiglini, E Sabetta, A Naclerio, G Banfi Artificial Intelligence in Covid-19, 121-156, 2022 | 1 | 2022 |
Federico CabitzaUniversity of Milano-Bicocca, IRCCS Ospedale Galeazzi - Sant'Ambrogio, Milan, Italy在 unimib.it 的电子邮件经过验证
