Sfoglia per Autore
Towards an educational tool for supporting neonatologists in the delivery room
2024-01-01 Leonardi, G.; Maldarizzi, C.; Montani, S.; Striani, M.; Strozzi, M.
Making process trace classification more explainable: approaches and experiences in the medical field
2023-01-01 Montani, S.; Leonardi, G.; Striani, M.
Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring
2023-01-01 Dossena, M.; Irwin, C.; Leonardi, G.; Montani, S.
Graph Neural Diffusion: an approach based on diffusion PDE
2023-01-01 Aceto, L.; Dossena, M.; Grassi, P.; Irwin, C.; Montani, S.; Portinale, L.
Prognostic and predictive role of gut microbiota in advanced mesothelioma patients: a feasibility exploratory pilot study.
2023-01-01 Bona, E.; Prodam, F.; Dianzani, I.; Montani, S.; Ferrante, D.; Delfanti, S.; Crivellari, S.; Castriciano, S.; Mignone, F.; Mellai, M.; Grosso, F.
Applying the SIM Tool in Clinical Practice: a Case Study in Neonatal Resuscitation Simulation
2023-01-01 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
2023-01-01 Canonico, M.; Montani, S.; Striani, M.
Applying the SIM Tool in Clinical Practice: a Case Study in Neonatal Resuscitation Simulation
2023-01-01 Bottrighi, A.; Guazzone, M.; Leonardi, G.; Montani, S.; Striani, M.; Terenziani, P.
Improving Stroke Trace Classification Explainability Through Counterexamples
2023-01-01 Leonardi, Giorgio; Montani, Stefania; Striani, Manuel
Towards Action-State Process Model Discovery
2023-01-01 Bottrighi, Alessio; Guazzone, Marco; Leonardi, Giorgio; Montani, Stefania; Striani, Manuel; Terenziani, Paolo
Intelligenza Artificiale in Medicina presso il Dipartimento di Scienze e Innovazione Tecnologica dell’Università del Piemonte Orientale
2022-01-01 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
Novel deep learning architectures for haemodialysis time series classification
2022-01-01 Leonardi, G.; Montani, S.; Striani, M.
Integrating ISA and Part-of Domain Knowledge into Process Model Discovery
2022-01-01 Bottrighi, A.; Guazzone, M.; Leonardi, G.; Montani, S.; Striani, M.; Terenziani, P.
Explainable process trace classification: an application to stroke
2022-01-01 Leonardi, G.; Montani, S.; Striani, M.
AS-SIM: An Approach to Action-State Process Model Discovery
2022-01-01 Bottrighi, A.; Guazzone, M.; Leonardi, G.; Montani, S.; Striani, M.; Terenziani, P.
Classifying Process Traces for Stroke Management Quality Assessment: A Deep Learning Approach
2021-01-01 Leonardi, G.; Montani, S.; Striani, M.
High-Fidelity simulation-based program improves flow state scale in the perinatal team
2021-01-01 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.
Deep feature extraction for representing and classifying time series cases: towards an interpretable approach in haemodialysis
2020-01-01 Leonardi, G.; Montani, S.; Striani, M.
Process trace classification for stroke management quality assessment
2020-01-01 Leonardi, Giorgio; Montani, Stefania; Striani, Manuel
Knowledge-based abstraction of medical process models
2019-01-01 Bottrighi, A.; Leonardi, G.; Montani, S.; Terenziani, P.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Towards an educational tool for supporting neonatologists in the delivery room | 1-gen-2024 | Leonardi, G.; Maldarizzi, C.; Montani, S.; Striani, M.; Strozzi, M. | |
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. | |
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. | |
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. | |
Improving Stroke Trace Classification Explainability Through Counterexamples | 1-gen-2023 | Leonardi, Giorgio; Montani, Stefania; Striani, Manuel | |
Towards Action-State Process Model Discovery | 1-gen-2023 | Bottrighi, Alessio; Guazzone, Marco; Leonardi, Giorgio; Montani, Stefania; Striani, Manuel; Terenziani, Paolo | |
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 | |
Novel deep learning architectures for haemodialysis time series classification | 1-gen-2022 | Leonardi, G.; Montani, S.; Striani, M. | |
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. | |
Explainable process trace classification: an application to stroke | 1-gen-2022 | Leonardi, G.; Montani, S.; Striani, M. | |
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. | |
Classifying Process Traces for Stroke Management Quality Assessment: A Deep Learning Approach | 1-gen-2021 | 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. | |
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. | |
Process trace classification for stroke management quality assessment | 1-gen-2020 | Leonardi, Giorgio; Montani, Stefania; Striani, Manuel | |
Knowledge-based abstraction of medical process models | 1-gen-2019 | Bottrighi, A.; Leonardi, G.; Montani, S.; Terenziani, P. |
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