STRIANI, Manuel
STRIANI, Manuel
Dipartimento di Scienze e Innovazione Tecnologica
A Complementary Account to Emotion Extraction and Classification in Cultural Heritage Based on the Plutchik’s Theory
2022-01-01 Bolioli, Andrea; Bosca, Alessio; Damiano, Rossana; Lieto, Antonio; Striani, Manuel
A framework for Multi-level Trace Abstraction and Semantic Process Mining
2017-01-01 Striani, Manuel
A sensemaking system for grouping and suggesting stories from multiple affective viewpoints in museums
2024-01-01 Lieto, Antonio; Striani, Manuel; Gena, Cristina; Dolza, Enrico; Maria Marras, Anna; Pozzato, GIAN LUCA; Damiano, Rossana
A telemedicine support for improving medical emergency management
2017-01-01 Canonico, M.; Montani, S.; Striani, Manuel
An Inception-Based Architecture for Haemodialysis Time Series Classification
2021-01-01 Montani, G. Leonardi. S.; Striani, M.
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
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.
Artificial Intelligence in Clinical Decision Support: a Focused Literature Survey
2019-01-01 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.
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.
Deep Learning for Haemodialysis Time Series Classification
2019-01-01 Leonardi, G.; Montani, S.; Striani, M.
DEGARI 2.0: A diversity-seeking, explainable, and affective art recommender for social inclusion
2023-01-01 Lieto, Antonio; Pozzato, GIAN LUCA; Striani, Manuel; Zoia, Stefano; Damiano, Rossana
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.
Explainable process trace classification: an application to stroke
2022-01-01 Leonardi, G.; Montani, S.; Striani, M.
Exploring Values in Museum Artifacts in the SPICE Project: A Preliminary Study
2022-01-01 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
2023-01-01 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
2022-01-01 Lieto, Antonio; Pozzato, GIAN LUCA; Striani, Manuel; Zoia, Stefano; Damiano, Rossana
From knowledge-based trace abstraction to process model comparison
2018-01-01 Leonardi, G.; Striani, M.; Quaglini, S.; Cavallini, A.; Montani, S.
From semantically abstracted traces to process mining and process model comparison
2018-01-01 Leonardi, G.; Striani, M.; Quaglini, S.; Cavallini, A.; Montani, S