TEEM: A Mobile App for Technology-Enhanced Emergency Management. - Massimo Canonico; Stefania Montani; Manuel Striani (HealthyIoT, 2016)

Knowledge-Based Trace Abstraction for Semantic Process Mining. - Stefania Montani; Manuel Striani; Silvana Quaglini; Anna Cavallini; Giorgio Leonardi (AIME, 2017)

Semantic Trace Comparison at Multiple Levels of Abstraction. - Stefania Montani; Manuel Striani; Silvana Quaglini; Anna Cavallini; Giorgio Leonardi (ICCBR, 2017)

A framework for Multi-level Trace Abstraction and Semantic Process Mining. - Manuel Striani (ICCBR (Workshops), 2017)

Towards Semantic Process Mining Through Knowledge-Based Trace Abstraction. - Giorgio Leonardi; Manuel Striani; Silvana Quaglini; Anna Cavallini; Stefania Montani (SIMPDA (Revised Selected Papers), 2017)

A telemedicine support for improving medical emergency management. - Massimo Canonico; Stefania Montani; Manuel Striani (EAI Endorsed Trans. Ambient Syst., 2017)

Multi-level abstraction for trace comparison and process discovery. - Stefania Montani; Giorgio Leonardi; Manuel Striani; Silvana Quaglini; Anna Cavallini (Expert Syst. Appl., 2017)

TEEM: Technology-Enhanced Emergency Management for Supporting Data Communication During Patient Transportation. - Massimo Canonico; Stefania Montani; Diego Gazzolo; Mariachiara Strozzi; Manuel Striani (Int. J. Mob. Comput. Multim. Commun., 2017)

From Semantically Abstracted Traces to Process Mining and Process Model Comparison. - Giorgio Leonardi; Manuel Striani; Silvana Quaglini; Anna Cavallini; Stefania Montani (AI*IA, 2018)

Leveraging semantic labels for multi-level abstraction in medical process mining and trace comparison. - Giorgio Leonardi; Manuel Striani; Silvana Quaglini; Anna Cavallini; Stefania Montani (J. Biomed. Informatics, 2018)

Deep Learning for Haemodialysis Time Series Classification. - Giorgio Leonardi; Stefania Montani; Manuel Striani (KR4HC/ProHealth/TEAAM@AIME, 2019)

Discovering Knowledge Embedded in Bio-medical Databases: Experiences in Food Characterization and in Medical Process Mining. - Giorgio Leonardi; Stefania Montani; Luigi Portinale; Silvana Quaglini; Manuel Striani (Innovations in Big Data Mining and Embedded Knowledge, 2019)

Deep Feature Extraction for Representing and Classifying Time Series Cases: Towards an Interpretable Approach in Haemodialysis. - Giorgio Leonardi; Stefania Montani; Manuel Striani (FLAIRS, 2020)

Process Trace Classification for Stroke Management Quality Assessment. - Giorgio Leonardi; Stefania Montani; Manuel Striani (ICCBR, 2020)

An Inception-Based Architecture for Haemodialysis Time Series Classification. - Giorgio Leonardi; Stefania Montani; Manuel Striani (AIAI (Workshops), 2021)

Formal Methods Meet XAI: the Tool DEGARI 2.0 for Social Inclusion. - Antonio Lieto; Gian Luca Pozzato; Manuel Striani; Stefano Zoia 001; Rossana Damiano (OVERLAY@AI*IA, 2022)

AS-SIM: An Approach to Action-State Process Model Discovery. - Alessio Bottrighi; Marco Guazzone; Giorgio Leonardi; Stefania Montani; Manuel Striani; Paolo Terenziani (ISMIS, 2022)

A complementary account to emotion extraction and classification in cultural heritage based on the Plutchik's theory. - Andrea Bolioli; Alessio Bosca; Rossana Damiano; Antonio Lieto; Manuel Striani (UMAP (Adjunct Publication), 2022)

Exploring Values in Museum Artifacts in the SPICE project: a Preliminary Study. - Rossana Damiano; Tsvi Kuflik; Alan J. Wecker; Manuel Striani; Antonio Lieto; Luis Emilio Bruni; Nele Kadastik; Thomas Anthony Pedersen (UMAP (Adjunct Publication), 2022)

Integrating ISA and Part-of Domain Knowledge into Process Model Discovery. - Alessio Bottrighi; Marco Guazzone; Giorgio Leonardi; Stefania Montani; Manuel Striani; Paolo Terenziani (Future Internet, 2022)

Explainable process trace classification: An application to stroke. - Giorgio Leonardi; Stefania Montani; Manuel Striani (J. Biomed. Informatics, 2022)

Novel deep learning architectures for haemodialysis time series classification. - Giorgio Leonardi; Stefania Montani; Manuel Striani (Int. J. Knowl. Based Intell. Eng. Syst., 2022)

Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices. - Paolo Ferragina; Giovanni Manzini; Travis Gagie; Dominik Köppl; Gonzalo Navarro 001; Manuel Striani; Francesco Tosoni 001 (Proc. VLDB Endow., 2022)

Extracting Emotions from Users' Annotations in Virtual Museums: a Case Study on the Pop-up Virtual Museum of the Design Museum Helsinki (full paper). - Manuel Striani; Gautam Vishwanath; Lily Díaz-Kommonen; Antonio Lieto; Leena Svinhufvud; Rossana Damiano (IAI4CH@AI*IA, 2023)

Improving Stroke Trace Classification Explainability Through Counterexamples. - Giorgio Leonardi; Stefania Montani; Manuel Striani (AIME, 2023)

NRTS: A Client-Server Architecture for Supporting Education in a Neonatal Resuscitation Simulation Scenario. - Massimo Canonico; Stefania Montani; Manuel Striani (EFMI-STC, 2023)

Applying the SIM Tool in Clinical Practice: a Case Study in Neonatal Resuscitation Simulation. - Alessio Bottrighi; Marco Guazzone; Giorgio Leonardi; Stefania Montani; Manuel Striani; Paolo Terenziani (KES, 2023)

DEGARI 2.0: A diversity-seeking, explainable, and affective art recommender for social inclusion. - Antonio Lieto; Gian Luca Pozzato; Manuel Striani; Stefano Zoia 001; Rossana Damiano (Cogn. Syst. Res., 2023)

NRTS: A Client-Server architecture for supporting data recording, transmission and evaluation of multidisciplinary teams during the neonatal resuscitation simulation scenario. - Manuel Striani (CoRR, 2023)

Towards Action-State Process Model Discovery. - Alessio Bottrighi; Marco Guazzone; Giorgio Leonardi; Stefania Montani; Manuel Striani; Paolo Terenziani (Data, 2023)

Developing a Comprehensive Dataset for Enhancing Social Inclusion and Cohesion through Citizen Curation in Cultural Heritage (short paper). - Manuel Striani; Belén Díaz-Agudo; Guillermo Jiménez-Díaz; Antonio Lieto; Rossana Damiano (IAI4CH@AI*IA, 2024)

Design an Hybrid Educational Framework for AI Ethics in Healthcare: Leveraging LLMS and E-learning Platforms to Empower Medical Students (full paper). - Giacomo Balduzzi; Teresa Balduzzi; Manuel Striani (edu4AI@AI*IA, 2024)

Comprehensive Neonatal Resuscitation Course: Integrating High-Fidelity Simulation and Novapp for Enhanced Performance Evaluation (short paper). - Massimo Canonico; Roberta Cinquatti; Stefania Montani; Davide Spatola; Manuel Striani (edu4AI@AI*IA, 2024)

Towards an educational tool for supporting neonatologists in the delivery room. - Giorgio Leonardi; Clara Maldarizzi; Stefania Montani; Manuel Striani; Mariachiara Strozzi (ICIEI, 2024)

A sensemaking system for grouping and suggesting stories from multiple affective viewpoints in museums. - Antonio Lieto; Manuel Striani; Cristina Gena; Enrico Dolza; Anna Maria Marras; Gian Luca Pozzato; Rossana Damiano (Hum. Comput. Interact., 2024)

An Ontology Network for Citizen Curation. - Luigi Asprino; Rossana Damiano; Marilena Daquino; Stefano De Giorgis; Aldo Gangemi; Antonio Lieto; Bruno Sartini; Manuel Striani (ACM Journal on Computing and Cultural Heritage, 2024)

Introduction to the Special Issue on Extended Intelligence for Cultural Engagement. - Enrico Daga; Rossana Damiano; Lily Díaz-Kommonen; Tsvi Kuflik; Manuel Striani (ACM Journal on Computing and Cultural Heritage, 2024)

Interpretable Clusters for Representing Citizens' Sense of Belonging through Interaction with Cultural Heritage. - Guillermo Jiménez-Díaz; Belén Díaz-Agudo; Luis Emilio Bruni; Nele Kadastik; Anna Follo; Rossana Damiano; Manuel Striani; José Ángel Sánchez Martín; Antonio Lieto (ACM Journal on Computing and Cultural Heritage, 2024)

Exploiting LLMs for Supporting Conformance Checking on Medical Processes. - Giorgio Leonardi; Stefania Montani; Manuel Striani (AIME (2), 2025)

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data. - Riccardo Francia; Maurizio Leone; Giorgio Leonardi; Stefania Montani; Marzio Pennisi; Manuel Striani; Sandra D'Alfonso (CoRR, 2025)