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.
Towards an educational tool for supporting neonatologists in the delivery room
2024-01-01 Leonardi, Giorgio; Maldarizzi, Clara; Montani, Stefania; Striani, Manuel; Strozzi, Mariachiara
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
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.
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
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
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.
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
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.
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.
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.
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.
Towards semantic process mining through knowledge-based trace abstraction
2019-01-01 Leonardi, G.; Striani, M.; Quaglini, S.; Cavallini, A.; Montani, S
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. | |
Towards an educational tool for supporting neonatologists in the delivery room | 1-gen-2024 | Leonardi, Giorgio; Maldarizzi, Clara; Montani, Stefania; Striani, Manuel; Strozzi, Mariachiara | |
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 | |
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. | |
Enhancing Medical Image Report Generation through Standard Language Models: Leveraging the Power of LLMs in Healthcare | 1-gen-2023 | Leonardi, Giorgio; Portinale, Luigi; Santomauro, Andrea | |
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 | |
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. | |
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. | |
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. | |
Classifying Process Traces for Stroke Management Quality Assessment: A Deep Learning Approach | 1-gen-2021 | Leonardi, G.; Montani, S.; Striani, M. | |
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. | |
Discovering knowledge embedded in bio-medical databases: experiences in food characterization and in medical process mining | 1-gen-2019 | Leonardi, G.; Montani, S.; Portinale, L.; Quaglini, S.; Striani, M. | |
Towards semantic process mining through knowledge-based trace abstraction | 1-gen-2019 | Leonardi, G.; Striani, M.; Quaglini, S.; Cavallini, A.; Montani, S |
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