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Towards an educational tool for supporting neonatologists in the delivery room 1-gen-2024 Leonardi, G.; Maldarizzi, C.; Montani, S.; Striani, M.; Strozzi, M.
Applying the SIM Tool in Clinical Practice: a Case Study in Neonatal Resuscitation Simulation 1-gen-2023 Bottrighi, Alessio; Guazzone, Marco; Leonardi, Giorgio; Montani, Stefania; Striani, Manuel; Terenziani, Paolo
NRTS: A Client-Server architecture for supporting education in a neonatal resuscitation simulation scenario 1-gen-2023 Canonico, M.; Montani, S.; Striani, M.
Applying the SIM Tool in Clinical Practice: a Case Study in Neonatal Resuscitation Simulation 1-gen-2023 Bottrighi, A.; Guazzone, M.; Leonardi, G.; Montani, S.; Striani, M.; Terenziani, P.
Prognostic and predictive role of gut microbiota in advanced mesothelioma patients: a feasibility exploratory pilot study. 1-gen-2023 Bona, E.; Prodam, F.; Dianzani, I.; Montani, S.; Ferrante, D.; Delfanti, S.; Crivellari, S.; Castriciano, S.; Mignone, F.; Mellai, M.; Grosso, F.
Making process trace classification more explainable: approaches and experiences in the medical field 1-gen-2023 Montani, S.; Leonardi, G.; Striani, M.
Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring 1-gen-2023 Dossena, M.; Irwin, C.; Leonardi, G.; Montani, S.
Graph Neural Diffusion: an approach based on diffusion PDE 1-gen-2023 Aceto, L.; Dossena, M.; Grassi, P.; Irwin, C.; Montani, S.; Portinale, L.
Towards Action-State Process Model Discovery 1-gen-2023 Bottrighi, Alessio; Guazzone, Marco; Leonardi, Giorgio; Montani, Stefania; Striani, Manuel; Terenziani, Paolo
Improving Stroke Trace Classification Explainability Through Counterexamples 1-gen-2023 Leonardi, Giorgio; Montani, Stefania; Striani, Manuel
Intelligenza Artificiale in Medicina presso il Dipartimento di Scienze e Innovazione Tecnologica dell’Università del Piemonte Orientale 1-gen-2022 Bottrighi, Alessio; Canonico, Massimo; Giordano, Laura; Guazzone, Marco; Leonardi, Giorgio; Montani, Stefania; Pennisi, MARZIO ALFIO; Piovesan, Luca; Portinale, Luigi; Striani, Manuel; Terenziani, Paolo; THESEIDER DUPRE', Daniele
AS-SIM: An Approach to Action-State Process Model Discovery 1-gen-2022 Bottrighi, A.; Guazzone, M.; Leonardi, G.; Montani, S.; Striani, M.; Terenziani, P.
Integrating ISA and Part-of Domain Knowledge into Process Model Discovery 1-gen-2022 Bottrighi, A.; Guazzone, M.; Leonardi, G.; Montani, S.; Striani, M.; Terenziani, P.
Novel deep learning architectures for haemodialysis time series classification 1-gen-2022 Leonardi, G.; Montani, S.; Striani, M.
Explainable process trace classification: an application to stroke 1-gen-2022 Leonardi, G.; Montani, S.; Striani, M.
High-Fidelity simulation-based program improves flow state scale in the perinatal team 1-gen-2021 Strozzi, M.; Varrica, A.; Colivicchi, M.; Pelazzo, C.; Negri, R.; Galante, A.; Ianniello, P.; Sterpone, R.; Nannini, P.; Leo, D.; Mannarino, F.; Striani, M.; Montani, S.; Gazzolo, D.
Classifying Process Traces for Stroke Management Quality Assessment: A Deep Learning Approach 1-gen-2021 Leonardi, G.; Montani, S.; Striani, M.
Process trace classification for stroke management quality assessment 1-gen-2020 Leonardi, Giorgio; Montani, Stefania; Striani, Manuel
Deep feature extraction for representing and classifying time series cases: towards an interpretable approach in haemodialysis 1-gen-2020 Leonardi, G.; Montani, S.; Striani, M.
How data-driven AI can benefit from formalized knowledge to become more “explainable”: an experience from medical process mining 1-gen-2019 Montani, S.
Mostrati risultati da 1 a 20 di 218
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