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.
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.
Making process trace classification more explainable: approaches and experiences in the medical field
2023-01-01 Montani, S.; Leonardi, G.; Striani, M.
Enhancing Medical Image Report Generation through Standard Language Models: Leveraging the Power of LLMs in Healthcare
2023-01-01 Leonardi, Giorgio; Portinale, Luigi; Santomauro, Andrea
Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring
2023-01-01 Dossena, M.; Irwin, C.; Leonardi, G.; Montani, S.
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
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
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.
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.
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.
Explainable process trace classification: an application to stroke
2022-01-01 Leonardi, G.; Montani, S.; Striani, M.
Classifying Process Traces for Stroke Management Quality Assessment: A Deep Learning Approach
2021-01-01 Leonardi, G.; Montani, S.; Striani, M.
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.
Towards semantic process mining through knowledge-based trace abstraction
2019-01-01 Leonardi, G.; Striani, M.; Quaglini, S.; Cavallini, A.; Montani, S
Discovering knowledge embedded in bio-medical databases: experiences in food characterization and in medical process mining
2019-01-01 Leonardi, G.; Montani, S.; Portinale, L.; Quaglini, S.; Striani, M.
Deep Learning for Haemodialysis Time Series Classification
2019-01-01 Leonardi, G.; Montani, S.; Striani, M.
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