Improving matrix-vector multiplication via lossless grammar-compressed matrices von Ferragina, Paolo, Manzini, Giovanni, Gagie, Travis, Köppl, Dominik, Navarro, Gonzalo, Striani, Manuel, Tosoni, Francesco

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Artificial Intelligence in Clinical Decision Support: a Focused Literature Survey von Montani, Stefania, Striani, Manuel

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Towards Action-State Process Model Discovery von Bottrighi, Alessio, Guazzone, Marco, Leonardi, Giorgio, Montani, Stefania, Striani, Manuel, Terenziani, Paolo

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Integrating ISA and Part-of Domain Knowledge into Process Model Discovery von Bottrighi, Alessio, Guazzone, Marco, Leonardi, Giorgio, Montani, Stefania, Striani, Manuel, Terenziani, Paolo

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High-Fidelity simulation-based program improves flow state scale in the perinatal team von Strozzi, Mariachiara Martina, Varrica, Alessandro, Colivicchi, Micaela, Pelazzo, Claudia, Negri, Rossana, Galante, Anna, Ianniello, Patrizia, Sterpone, Rossella, Nannini, Priscilla, Leo, Daniela, Mannarino, Francesca, Striani, Manuel, Montani, Stefania, Gazzolo, Diego

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Explainable process trace classification: An application to stroke von Leonardi, Giorgio, Montani, Stefania, Striani, Manuel

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A sensemaking system for grouping and suggesting stories from multiple affective viewpoints in museums von Lieto, Antonio, Striani, Manuel, Gena, Cristina, Dolza, Enrico, Marras, Anna Maria, Pozzato, Gian Luca, Damiano, Rossana

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DEGARI 2.0: A diversity-seeking, explainable, and affective art recommender for social inclusion von Lieto, Antonio, Pozzato, Gian Luca, Striani, Manuel, Zoia, Stefano, Damiano, Rossana

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Leveraging semantic labels for multi-level abstraction in medical process mining and trace comparison von Leonardi, Giorgio, Striani, Manuel, Quaglini, Silvana, Cavallini, Anna, Montani, Stefania

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Multi-level abstraction for trace comparison and process discovery von Montani, Stefania, Leonardi, Giorgio, Striani, Manuel, Quaglini, Silvana, Cavallini, Anna

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Applying the SIM Tool in Clinical Practice: a Case Study in Neonatal Resuscitation Simulation von Bottrighi, Alessio, Guazzone, Marco, Leonardi, Giorgio, Montani, Stefania, Striani, Manuel, Terenziani, Paolo

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Making Process Trace Classification More Explainable: Approaches and Experiences in the Medical Field von Montani, Stefania, Leonardi, Giorgio, Striani, Manuel

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NRTS: A Client-Server architecture for supporting data recording, transmission and evaluation of multidisciplinary teams during the neonatal resuscitation simulation scenario von Striani, Manuel

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Improving Stroke Trace Classification Explainability Through Counterexamples von Leonardi, Giorgio, Montani, Stefania, Striani, Manuel

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Interpretable Clusters for Representing Citizens’ Sense of Belonging through Interaction with Cultural Heritage von Jiménez-Díaz, Guillermo, Diaz-Agudo, Belen, Bruni, Luis Emilio, Kadastik, Nele, Follo, Anna, Damiano, Rossana, Striani, Manuel, Sanchez-Martin, Angel, Lieto, Antonio

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Classifying Process Traces for Stroke Management Quality Assessment: A Deep Learning Approach von Leonardi, Giorgio, Montani, Stefania, Striani, Manuel

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TEEM: Technology-Enhanced Emergency Management for Supporting Data Communication During Patient Transportation von Montani, Stefania, Canonico, Massimo, Gazzolo, Diego, Strozzi, Mariachiara, Striani, Manuel

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Deep Learning for Haemodialysis Time Series Classification von Leonardi, Giorgio, Montani, Stefania, Striani, Manuel

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Process Trace Classification for Stroke Management Quality Assessment von Leonardi, Giorgio, Montani, Stefania, Striani, Manuel

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NRTS: A Client-Server architecture for supporting data recording, transmission and evaluation of multidisciplinary teams during the neonatal resuscitation simulation scenario von Striani, Manuel

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