Manuel Striani

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 36

Top Topics

Semantic Labels

Top Venues

J. Biomed. Informatics

UMAP (Adjunct Publication)

Publications

Giorgio Leonardi, Clara Maldarizzi, Stefania Montani, Manuel Striani, Mariachiara Martina Strozzi
Towards an educational tool for supporting neonatologists in the delivery room. CoRR (2024)
Giorgio Leonardi, Clara Maldarizzi, Stefania Montani, Manuel Striani, Mariachiara Strozzi
Towards an educational tool for supporting neonatologists in the delivery room. ICIEI (2024)
Antonio Lieto, Manuel Striani, Cristina Gena, Enrico Dolza, Anna Maria Marras, Gian Luca Pozzato, Rossana Damiano
A sensemaking system for grouping and suggesting stories from multiple affective viewpoints in museums. Hum. Comput. Interact. 39 (1-2) (2024)
Giorgio Leonardi, Stefania Montani, Manuel Striani
Improving Stroke Trace Classification Explainability Through Counterexamples. AIME (2023)
Antonio Lieto, Manuel Striani, Cristina Gena, Enrico Dolza, Anna Maria Marras, Gian Luca Pozzato, Rossana Damiano
A sensemaking system for grouping and suggesting stories from multiple affective viewpoints in museums. CoRR (2023)
Massimo Canonico, Stefania Montani, Manuel Striani
NRTS: A Client-Server Architecture for Supporting Education in a Neonatal Resuscitation Simulation Scenario. EFMI-STC (2023)
Nele Kadastik, Thomas Anthony Pederson, Luis Emilio Bruni, Rossana Damiano, Antonio Lieto, Manuel Striani, Tsvi Kuflik, Alan J. Wecker
Exploring Values in Museum Artifacts in the SPICE project: a Preliminary Study. CoRR (2023)
Antonio Lieto, Gian Luca Pozzato, Manuel Striani, Stefano Zoia, Rossana Damiano
DEGARI 2.0: A diversity-seeking, explainable, and affective art recommender for social inclusion. Cogn. Syst. Res. 77 (2023)
Manuel Striani
NRTS: A Client-Server architecture for supporting data recording, transmission and evaluation of multidisciplinary teams during the neonatal resuscitation simulation scenario. CoRR (2023)
Alessio Bottrighi, Marco Guazzone, Giorgio Leonardi, Stefania Montani, Manuel Striani, Paolo Terenziani
Towards Action-State Process Model Discovery. Data 8 (8) (2023)
Alessio Bottrighi, Marco Guazzone, Giorgio Leonardi, Stefania Montani, Manuel Striani, Paolo Terenziani
Applying the SIM Tool in Clinical Practice: a Case Study in Neonatal Resuscitation Simulation. KES (2023)
Manuel Striani, Gautam Vishwanath, Lily Díaz-Kommonen, Antonio Lieto, Leena Svinhufvud, Rossana Damiano
Extracting Emotions from Users' Annotations in Virtual Museums: a Case Study on the Pop-up Virtual Museum of the Design Museum Helsinki (full paper). IAI4CH@AI*IA (2023)
Alessio Bottrighi, Marco Guazzone, Giorgio Leonardi, Stefania Montani, Manuel Striani, Paolo Terenziani
AS-SIM: An Approach to Action-State Process Model Discovery. ISMIS (2022)
Alessio Bottrighi, Marco Guazzone, Giorgio Leonardi, Stefania Montani, Manuel Striani, Paolo Terenziani
Integrating ISA and Part-of Domain Knowledge into Process Model Discovery. Future Internet 14 (12) (2022)
Andrea Bolioli, Alessio Bosca, Rossana Damiano, Antonio Lieto, Manuel Striani
A complementary account to emotion extraction and classification in cultural heritage based on the Plutchik's theory. UMAP (Adjunct Publication) (2022)
Rossana Damiano, Tsvi Kuflik, Alan J. Wecker, Manuel Striani, Antonio Lieto, Luis Emilio Bruni, Nele Kadastik, Thomas Anthony Pedersen
Exploring Values in Museum Artifacts in the SPICE project: a Preliminary Study. UMAP (Adjunct Publication) (2022)
Antonio Lieto, Gian Luca Pozzato, Manuel Striani, Stefano Zoia, Rossana Damiano
Formal Methods Meet XAI: the Tool DEGARI 2.0 for Social Inclusion. OVERLAY@AI*IA (2022)
Giorgio Leonardi, Stefania Montani, Manuel Striani
Explainable process trace classification: An application to stroke. J. Biomed. Informatics 126 (2022)
Giorgio Leonardi, Stefania Montani, Manuel Striani
Novel deep learning architectures for haemodialysis time series classification. Int. J. Knowl. Based Intell. Eng. Syst. 26 (2) (2022)
Paolo Ferragina, Travis Gagie, Dominik Köppl, Giovanni Manzini, Gonzalo Navarro, Manuel Striani, Francesco Tosoni
Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices. CoRR (2022)
Paolo Ferragina, Giovanni Manzini, Travis Gagie, Dominik Köppl, Gonzalo Navarro, Manuel Striani, Francesco Tosoni
Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices. Proc. VLDB Endow. 15 (10) (2022)
Giorgio Leonardi, Stefania Montani, Manuel Striani
An Inception-Based Architecture for Haemodialysis Time Series Classification. AIAI Workshops (2021)
Giorgio Leonardi, Stefania Montani, Manuel Striani
Deep Feature Extraction for Representing and Classifying Time Series Cases: Towards an Interpretable Approach in Haemodialysis. FLAIRS Conference (2020)
Giorgio Leonardi, Stefania Montani, Manuel Striani
Process Trace Classification for Stroke Management Quality Assessment. ICCBR (2020)
Giorgio Leonardi, Stefania Montani, Manuel Striani
Deep Learning for Haemodialysis Time Series Classification. KR4HC/ProHealth/TEAAM@AIME (2019)
Giorgio Leonardi, Manuel Striani, Silvana Quaglini, Anna Cavallini, Stefania Montani
From Semantically Abstracted Traces to Process Mining and Process Model Comparison. AI*IA (2018)
Giorgio Leonardi, Manuel Striani, Silvana Quaglini, Anna Cavallini, Stefania Montani
Leveraging semantic labels for multi-level abstraction in medical process mining and trace comparison. J. Biomed. Informatics 83 (2018)
Stefania Montani, Manuel Striani, Silvana Quaglini, Anna Cavallini, Giorgio Leonardi
Semantic Trace Comparison at Multiple Levels of Abstraction. ICCBR (2017)
Giorgio Leonardi, Manuel Striani, Silvana Quaglini, Anna Cavallini, Stefania Montani
Towards Semantic Process Mining Through Knowledge-Based Trace Abstraction. SIMPDA (Revised Selected Papers) (2017)
Stefania Montani, Manuel Striani, Silvana Quaglini, Anna Cavallini, Giorgio Leonardi
Knowledge-Based Trace Abstraction for Semantic Process Mining. AIME (2017)
Manuel Striani
A framework for Multi-level Trace Abstraction and Semantic Process Mining. ICCBR (Workshops) (2017)
Stefania Montani, Giorgio Leonardi, Manuel Striani, Silvana Quaglini, Anna Cavallini
Multi-level abstraction for trace comparison and process discovery. Expert Syst. Appl. 81 (2017)
Massimo Canonico, Stefania Montani, Manuel Striani
A telemedicine support for improving medical emergency management. EAI Endorsed Trans. Ambient Syst. 4 (16) (2017)
Stefania Montani, Manuel Striani, Silvana Quaglini, Anna Cavallini, Giorgio Leonardi
Towards semantic process mining through knowledge-based trace abstraction. SIMPDA (2017)
Massimo Canonico, Stefania Montani, Diego Gazzolo, Mariachiara Strozzi, Manuel Striani
TEEM: Technology-Enhanced Emergency Management for Supporting Data Communication During Patient Transportation. Int. J. Mob. Comput. Multim. Commun. 8 (4) (2017)
Massimo Canonico, Stefania Montani, Manuel Striani
TEEM: A Mobile App for Technology-Enhanced Emergency Management. HealthyIoT (2016)