STRIANI, Manuel

STRIANI, Manuel  

Dipartimento di Scienze e Innovazione Tecnologica  

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Titolo Data di pubblicazione Autore(i) File
A Complementary Account to Emotion Extraction and Classification in Cultural Heritage Based on the Plutchik’s Theory 1-gen-2022 Bolioli, Andrea; Bosca, Alessio; Damiano, Rossana; Lieto, Antonio; Striani, Manuel
A framework for Multi-level Trace Abstraction and Semantic Process Mining 1-gen-2017 Striani, Manuel
A sensemaking system for grouping and suggesting stories from multiple affective viewpoints in museums 1-gen-2024 Lieto, Antonio; Striani, Manuel; Gena, Cristina; Dolza, Enrico; Maria Marras, Anna; Pozzato, GIAN LUCA; Damiano, Rossana
A telemedicine support for improving medical emergency management 1-gen-2017 Canonico, M.; Montani, S.; Striani, Manuel
An Inception-Based Architecture for Haemodialysis Time Series Classification 1-gen-2021 Montani, G. Leonardi. S.; Striani, M.
An Ontology Network for Citizen Curation 1-gen-2024 Asprino, Luigi; Damiano, Rossana; Daquino, Marilena; De Giorgis, Stefano; Gangemi, Aldo; Lieto, Antonio; Sartini, Bruno; Striani, Manuel
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
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.
Artificial Intelligence in Clinical Decision Support: a Focused Literature Survey 1-gen-2019 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.
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.
Deep Learning for Haemodialysis Time Series Classification 1-gen-2019 Leonardi, G.; Montani, S.; Striani, M.
DEGARI 2.0: A diversity-seeking, explainable, and affective art recommender for social inclusion 1-gen-2023 Lieto, Antonio; Pozzato, GIAN LUCA; Striani, Manuel; Zoia, Stefano; Damiano, Rossana
Developing a Comprehensive Dataset for Enhancing Social Inclusion and Cohesion through Citizen Curation in Cultural Heritage 1-gen-2024 Striani, Manuel; Diaz-Agudo, Belen; Jimenez-Diaz, Guillermo; Lieto, Antonio; Damiano, Rossana
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.
Explainable process trace classification: an application to stroke 1-gen-2022 Leonardi, G.; Montani, S.; Striani, M.
Exploring Values in Museum Artifacts in the SPICE Project: A Preliminary Study 1-gen-2022 Damiano, Rossana; Kuflik, Tsvi; Wecker Alan, J.; Striani, Manuel; Lieto, Antonio; Bruni, Luis; Kadastik, Nele; Pedersen Thomas, A.
Extracting Emotions from Users' Annotations in Virtual Museums: a Case Study on the Pop-up Virtual Museum of the Design Museum Helsinki 1-gen-2023 Striani, Manuel; Vishwanath, Gautam; Diaz-Kommonen, Lily; Lieto, Antonio; Svinhufvud, Leena; Damiano, Rossana
Formal Methods Meet XAI: the Tool DEGARI 2.0 for Social Inclusion 1-gen-2022 Lieto, Antonio; Pozzato, GIAN LUCA; Striani, Manuel; Zoia, Stefano; Damiano, Rossana