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Fiorella Guadagni
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2020 – today
- 2024
- [j3]Noemi Scarpato
, Aria Nourbakhsh, Patrizia Ferroni, Silvia Riondino
Evaluating Explainable Machine Learning Models for Clinicians. Cogn. Comput. 16(4): 1436-1446 (2024) - [j2]Noemi Scarpato
Drug recommendation ranking for personalized medicine using outcomes of retrospective cancer patients. Expert Syst. Appl. 256: 124859 (2024) - [j1]Arianna Mencattini, Elena Daprati, David Della-Morte, Fiorella Guadagni, Federica Sangiuolo, Eugenio Martinelli:
Assembloid learning: opportunities and challenges for personalized approaches to brain functioning in health and disease. Frontiers Artif. Intell. 7 (2024) - 2022
- [i2]Marco Gerardi
Active Informed Consent to Boost the Application of Machine Learning in Medicine. CoRR abs/2210.08987 (2022) - 2020
- [i1]Antonio-Jesús Banegas-Luna, Jorge Peña-García, Adrian Iftene, Fiorella Guadagni, Patrizia Ferroni, Noemi Scarpato, Fabio Massimo Zanzotto, Andrés Bueno-Crespo, Horacio Pérez Sánchez:
When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey. CoRR abs/2010.00353 (2020)
2010 – 2019
- 2017
- [c3]Fiorella Guadagni, Fabio Massimo Zanzotto
RISK: A Random Optimization Interactive System Based on Kernel Learning for Predicting Breast Cancer Disease Progression. IWBBIO (1) 2017: 189-196 - 2015
- [c2]Fernando Boavida
People-Centric Internet of Things - Challenges, Approach, and Enabling Technologies. IDC 2015: 463-474 - [c1]Fiorella Guadagni, Noemi Scarpato
Personal and Sensitive Data in the e-Health-IoT Universe. IoT 360 (2) 2015: 504-514
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last updated on 2024-10-07 21:15 CEST by the dblp team
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