A complete list is available on Google Scholar.

Conferences & Journals

2021

1. KES

   CaregiverMatcher: graph neural networks for connecting caregivers of rare disease patients

   Guerranti Filippo, Mannino Mirko, Baccini Federica, Bongini Pietro, Pancino Niccoló, Visibelli Anna, and Marziali Sara

   Procedia Computer Science 2021

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   Rare diseases affect a growing number of individuals. One key problem for patients and their caregivers is the difficulty in reaching experts and associations competent on a particular disease. As a consequence, caregivers, often family members of the patient, learn much about the disease from their own experience. CaregiverMatcher is a proof of concept providing a smart solution to build a network of caregivers, linked by a matching mechanism based on graph neural networks. The caregivers and their experience with rare diseases are described by node features. Associations and care centers are invited to share their knowledge on the platform.

   @article{guerranti2021caregivermatcher,
                    title     = {CaregiverMatcher: graph neural networks for connecting caregivers of rare disease patients},
                    journal   = {Procedia Computer Science},
                    volume    = {192},
                    pages     = {1696-1704},
                    year      = {2021},
                    note      = {Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES2021},
                    issn      = {1877-0509},
                    doi       = {https://doi.org/10.1016/j.procs.2021.08.174},
                    url       = {https://www.sciencedirect.com/science/article/pii/S1877050921016690},
                    author    = {Guerranti, Filippo and Mannino, Mirko and Baccini, Federica and Bongini, Pietro and Pancino, Niccoló and Visibelli, Anna and Marziali, Sara},
                    keywords  = {Cross-platform application, Caregivers, Rare diseases, Graph Neural Networks, Deep Learning},
                    abstract  = {Rare diseases affect a growing number of individuals. One key problem for patients and their caregivers is the difficulty in reaching experts and associations competent on a particular disease. As a consequence, caregivers, often family members of the patient, learn much about the disease from their own experience. CaregiverMatcher is a proof of concept providing a smart solution to build a network of caregivers, linked by a matching mechanism based on graph neural networks. The caregivers and their experience with rare diseases are described by node features. Associations and care centers are invited to share their knowledge on the platform.}
                    }
                    

Theses

1. MSc

   Approximating Logical Reasoning using Neural Networks

   University of Siena, 2022
2. BSc

   Software for the Automatic Generation of the Exam Date Calendar (translated)

   University of Siena, 2019