Large-Scale Assessment of Mobile Crowdsensed Data: A Case Study. - Christel Sirocchi; Lorenz Cuno Klopfenstein; Alessandro Bogliolo (IEEE Access, 2022)

Machine Learning-Enabled Prediction of Metabolite Response in Genetic Disorders (SHORT PAPER). - Christel Sirocchi; Federica Biancucci; Matteo Donati; Nunzio D'Amore; Riccardo Benedetti; Alessandro Bogliolo; Stefano Ferretti; Mauro Magnani; Michele Menotta; Muhammad Suffian Nizami; Sara Montagna (HC@AIxIA, 2023)

Community-Based Gossip Algorithm for Distributed Averaging. - Christel Sirocchi; Alessandro Bogliolo (DAIS, 2023)

Molecular Fingerprints-Based Machine Learning for Metabolic Profiling. - Christel Sirocchi; Federica Biancucci; Muhammad Suffian Nizami; Riccardo Benedetti; Matteo Donati; Stefano Ferretti; Alessandro Bogliolo; Mauro Magnani; Michele Menotta; Sara Montagna (PKDD/ECML Workshops (4), 2023)

Hierarchical Clustering with an Ensemble of Principle Component Trees for Interpretable Patient Stratification. - Bastian Pfeifer; Marcus D. Bloice; Christel Sirocchi; Markus Loecher (CIBB, 2024)

Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care. - Christel Sirocchi; Muhammad Suffian Nizami; Federico Sabbatini; Alessandro Bogliolo; Sara Montagna (EXPLIMED@ECAI, 2024)

Integrating Symbolic Knowledge and Machine Learning in Healthcare. - Christel Sirocchi; Sara Montagna (RuleML+RR (Companion), 2024)

Distributed Averaging for Accuracy Prediction in Networked Systems. - Christel Sirocchi; Alessandro Bogliolo (WAW, 2024)

Hybrid Personal Medical Digital Assistant Agents. - Sara Montagna; Christel Sirocchi (WOA, 2024)

Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems. - Federico Sabbatini; Christel Sirocchi; Roberta Calegari (WOA, 2024)

Federated unsupervised random forest for privacy-preserving patient stratification. - Bastian Pfeifer; Christel Sirocchi; Marcus D. Bloice; Markus Kreuzthaler; Martin Urschler (Bioinform., 2024)

Exploring machine learning for untargeted metabolomics using molecular fingerprints. - Christel Sirocchi; Federica Biancucci; Matteo Donati; Alessandro Bogliolo; Mauro Magnani; Michele Menotta; Sara Montagna (Comput. Methods Programs Biomed., 2024)

Investigating Participation Mechanisms in EU Code Week. - Christel Sirocchi; Annika Ostergren Pofantis; Alessandro Bogliolo (ACM Trans. Comput. Educ., 2024)

Medical-informed machine learning: integrating prior knowledge into medical decision systems. - Christel Sirocchi; Alessandro Bogliolo; Sara Montagna (BMC Medical Informatics Decis. Mak., 2024)

Neuro-Symbolic AI for Supporting Chronic Disease Diagnosis and Monitoring. - Matteo Magnini; Giovanni Ciatto; Ahmet Emre Kuru; Christel Sirocchi; Sara Montagna (PerCom Workshops, 2025)

Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtyping. - Christel Sirocchi; Martin Urschler; Bastian Pfeifer (BioData Min., 2025)

Enhancing interpretability of rule-based classifiers through feature graphs. - Christel Sirocchi; Damiano Verda (CoRR, 2025)