Adopting STP for Diet Management. - Luca Anselma; Alessandro Mazzei; Luca Piovesan; Franco De Michieli (ICHI, 2014)

Advances in the GINSENG Project. - Paolo Terenziani; Alessio Bottrighi; Laura Giordano 001; Giuliana Franceschinis; Stefania Montani; Luca Piovesan; Luigi Portinale; Stefania Rubrichi; Matteo Spiotta; Daniele Theseider Dupré (ICHI, 2014)

An ontological knowledge and multiple abstraction level decision support system in healthcare. - Luca Piovesan; Gianpaolo Molino; Paolo Terenziani (Decis. Anal., 2014)

A General Approach to Represent and Query Now-Relative Medical Data in Relational Databases. - Luca Anselma; Luca Piovesan; Abdul Sattar 001; Bela Stantic; Paolo Terenziani (AIME, 2015)

A Mixed-Initiative Approach to the Conciliation of Clinical Guidelines for Comorbid Patients. - Luca Piovesan; Paolo Terenziani (KR4HC/ProHealth, 2015)

Temporal Detection of Guideline Interactions. - Luca Piovesan; Luca Anselma; Paolo Terenziani (HEALTHINF, 2015)

Supporting Multi-level User-driven Detection of Guideline Interactions. - Luca Piovesan; Gianpaolo Molino; Paolo Terenziani (HEALTHINF, 2015)

A Constraint-Based Approach for the Conciliation of Clinical Guidelines. - Luca Piovesan; Paolo Terenziani (IBERAMIA, 2016)

Knowledge-Based Support to the Treatment of Exceptions in Computer Interpretable Clinical Guidelines. - Alessio Bottrighi; Giorgio Leonardi; Luca Piovesan; Paolo Terenziani (Int. J. Knowl. Based Organ., 2016)

A 1NF temporal relational model and algebra coping with valid-time temporal indeterminacy. - Luca Anselma; Luca Piovesan; Paolo Terenziani (J. Intell. Inf. Syst., 2016)

A Comprehensive Approach to 'Now' in Temporal Relational Databases: Semantics and Representation. - Luca Anselma; Luca Piovesan; Abdul Sattar 001; Bela Stantic; Paolo Terenziani (IEEE Trans. Knowl. Data Eng., 2016)

Temporal reasoning techniques for the analysis of interactions in the treatment of comorbid patients. - Luca Anselma; Luca Piovesan; Paolo Terenziani (SAC, 2017)

Temporal detection and analysis of guideline interactions. - Luca Anselma; Luca Piovesan; Paolo Terenziani (Artif. Intell. Medicine, 2017)

Managing Temporal Constraints with Preferences: Representation, Reasoning, and Querying. - Paolo Terenziani; Antonella Andolina; Luca Piovesan (IEEE Trans. Knowl. Data Eng., 2017)

META-GLARE's Supports to Agent Coordination. - Luca Anselma; Alessio Bottrighi; Luca Piovesan; Paolo Terenziani (BIOSTEC (Selected Papers), 2018)

A General Framework for the Distributed Management of Exceptions and Comorbidities. - Alessio Bottrighi; Luca Piovesan; Paolo Terenziani (HEALTHINF, 2018)

Supporting Multiple Agents in the Execution of Clinical Guidelines. - Alessio Bottrighi; Luca Piovesan; Paolo Terenziani (HEALTHINF, 2018)

Coping with "Exceptional" Patients in META-GLARE. - Alessio Bottrighi; Luca Piovesan; Paolo Terenziani (BIOSTEC (Selected Papers), 2018)

Temporal Conformance Analysis and Explanation on Comorbid Patients. - Luca Piovesan; Paolo Terenziani; Daniele Theseider Dupré (HEALTHINF, 2018)

Querying Probabilistic Temporal Constraints for Guideline Interaction Analysis: GLARE's Approach. - Antonella Andolina; Luca Anselma; Luca Piovesan; Paolo Terenziani (IBERAMIA, 2018)

An AI Approach to Temporal Indeterminacy in Relational Databases. - Luca Anselma; Luca Piovesan; Paolo Terenziani (IBERAMIA, 2018)

Temporal Reasoning with Layered Preferences. - Luca Anselma; Alessandro Mazzei; Luca Piovesan; Paolo Terenziani (ISMIS, 2018)

Representing and querying now-relative relational medical data. - Luca Anselma; Luca Piovesan; Bela Stantic; Paolo Terenziani (Artif. Intell. Medicine, 2018)

GLARE-SSCPM: An Intelligent System to Support the Treatment of Comorbid Patients. - Luca Piovesan; Paolo Terenziani; Gianpaolo Molino (IEEE Intell. Syst., 2018)

ASP for Conformance Analysis and Explanation of Clinical Guidelines Execution. - Luca Piovesan; Matteo Spiotta; Paolo Terenziani; Daniele Theseider Dupré (Künstliche Intell., 2018)

Towards an "Operational" Educational Model in Healthcare: Exploiting Computer-Interpretable Guidelines. - Alessio Bottrighi; Gianpaolo Molino; Luca Piovesan; Paolo Terenziani (HEALTHINF, 2019)

Run-time Support to Comorbidities in GLARE-SSCPM. - Alessio Bottrighi; Luca Piovesan; Paolo Terenziani (HEALTHINF, 2019)

Dealing with temporal indeterminacy in relational databases: An AI methodology. - Luca Anselma; Luca Piovesan; Paolo Terenziani (AI Commun., 2019)

Supporting the distributed execution of clinical guidelines by multiple agents. - Alessio Bottrighi; Luca Piovesan; Paolo Terenziani (Artif. Intell. Medicine, 2019)

Conformance analysis for comorbid patients in Answer Set Programming. - Luca Piovesan; Paolo Terenziani; Daniele Theseider Dupré (J. Biomed. Informatics, 2020)

Reasoning and querying bounds on differences with layered preferences. - Luca Anselma; Alessandro Mazzei; Luca Piovesan; Paolo Terenziani (Int. J. Intell. Syst., 2021)

Temporal reasoning and query answering with preferences and probabilities for medical decision support. - Antonella Andolina; Marco Guazzone; Luca Piovesan; Paolo Terenziani (Expert Syst. Appl., 2022)

A Multi-label Classification Study for the Prediction of Long-COVID Syndrome. - Marco Dossena; Christopher Irwin; Luca Piovesan; Luigi Portinale (AI*IA, 2023)

Fostering Awareness and Personalization of Learning Artificial Intelligence. - Matteo Baldoni; Cristina Baroglio; Alessio Bottrighi; Monica Bucciarelli; Sara Capecchi; Elena Gandolfi; Cristina Gena; Francesco Ianì; Elisa Marengo; Davide Marocco; Roberto Micalizio; Luca Piovesan; et al. (Ital-IA, 2023)

Clinical Guidelines Acquisition, Representation and Simulation for Medical Education. - Alessio Bottrighi; Emanuela Girardi; Antonio Maconi; Stefano Nera; Erica Raina; Annalisa Roveta; Luca Piovesan; Francesca Ugo; Paolo Terenziani (SITIS, 2023)

Supporting physicians in the coordination of distributed execution of CIGs to treat comorbid patients. - Alessio Bottrighi; Luca Piovesan; Paolo Terenziani (Artif. Intell. Medicine, 2023)

A community-of-practice-based evaluation methodology for knowledge intensive computational methods and its application to multimorbidity decision support. - William Van Woensel; Samson W. Tu; Wojtek Michalowski; Syed Sibte Raza Abidi; Samina Abidi; José Ramón Alonso 001; Alessio Bottrighi; Marc Carrier; Ruth Edry; Irit Hochberg; Malvika Rao; Stephen P. Kingwell; et al. (J. Biomed. Informatics, 2023)

Business Intelligence Enhancements to EDC for Clinical Trial Management. - Alessio Bottrighi; Elisa Gandini; Stefano Nera; Luca Piovesan; Erica Raina; Paolo Terenziani (BIOSTEC (2), 2024)

AI-Based Medical Education: Coping with Clinical Decisions in GLARE-Edu. - Alessio Bottrighi; Antonio Maconi; Stefano Nera; Luca Piovesan; Erica Raina; Paolo Terenziani (IBERAMIA, 2024)

AI-based self-verification supports for clinical guideline e-learning. - Alessio Bottrighi; Stefano Nera; Luca Piovesan; Erica Raina; Paolo Terenziani (ICIEI, 2024)

A Symbolic AI Approach to Medical Training. - Alessio Bottrighi; Federica Grosso; Marco Ghiglione; Antonio Maconi; Stefano Nera; Luca Piovesan; Erica Raina; Annalisa Roveta; Paolo Terenziani (J. Medical Syst., 2025)