A Rule-Based Expert System for Automatic Implementation of Somatic Variant Clinical Interpretation Guidelines. - Giovanna Nicora; Ivan Limongelli; Riccardo Cova; Matteo Giovanni Della Porta; Luca Malcovati; Mario Cazzola; Riccardo Bellazzi (AIME, 2019)

A Semi-supervised Learning Approach for Pan-Cancer Somatic Genomic Variant Classification. - Giovanna Nicora; Simone Marini; Ivan Limongelli; Ettore Rizzo; Stefano Montoli; Francesca Floriana Tricomi; Riccardo Bellazzi (AIME, 2019)

A Reliable Machine Learning Approach applied to Single-Cell Classification in Acute Myeloid Leukemia. - Giovanna Nicora; Riccardo Bellazzi (AMIA, 2020)

A continuous-time Markov model approach for modeling myelodysplastic syndromes progression from cross-sectional data. - Giovanna Nicora; F. Moretti; Elisabetta Sauta; Matteo Giovanni Della Porta; Luca Malcovati; Mario Cazzola; Silvana Quaglini; Riccardo Bellazzi (J. Biomed. Informatics, 2020)

ALFABETO: Supporting COVID-19 Hospital Admissions with Bayesian Networks. - Giovanna Nicora; Antonio Lo Tito; Antonella Donatelli; Giovanni Callea; Carla Biasibetti; Maria Vittoria Galli; Federico Comotto; Chandra Bortolotto; Stefano Perlini; Lorenzo Preda; Riccardo Bellazzi (SMARTERCARE@AI*IA, 2021)

A Topological Data Analysis Mapper of the Ovarian Folliculogenesis Based on MALDI Mass Spectrometry Imaging Proteomics. - Giulia Campi; Giovanna Nicora; Giulia Fiorentino; Andrew Smith; Fulvio Magni; Silvia Garagna; Maurizio Zuccotti; Riccardo Bellazzi (AIME, 2021)

The Gene Mover's Distance: Single-cell similarity via Optimal Transport. - Riccardo Bellazzi; Andrea Codegoni; Stefano Gualandi; Giovanna Nicora; Eleonora Vercesi (CoRR, 2021)

Tree-based local explanations of machine learning model predictions, AraucanaXAI. - Enea Parimbelli; Giovanna Nicora; Szymon Wilk; Wojtek Michalowski; Riccardo Bellazzi (CoRR, 2021)

Evaluation of XAI on ALS 6-months mortality prediction. - Tommaso Mario Buonocore; Giovanna Nicora; Arianna Dagliati; Enea Parimbelli (CLEF (Working Notes), 2022)

Dynamic Prediction of Non-Neutral SARS-Cov-2 Variants Using Incremental Machine Learning. - Giovanna Nicora; Simone Marini; Marco Salemi; Riccardo Bellazzi (MIE, 2022)

Evaluating pointwise reliability of machine learning prediction. - Giovanna Nicora; Miguel Rios; Ameen Abu-Hanna; Riccardo Bellazzi (J. Biomed. Informatics, 2022)

Predicting and Explaining Risk of Disease Worsening Using Temporal Features in Multiple Sclerosis. - Tommaso Mario Buonocore; Pietro Bosoni; Giovanna Nicora; Mahin Vazifehdan; Riccardo Bellazzi; Enea Parimbelli; Arianna Dagliati (CLEF (Working Notes), 2023)

Why did AI get this one wrong? - Tree-based explanations of machine learning model predictions. - Enea Parimbelli; Tommaso Mario Buonocore; Giovanna Nicora; Wojtek Michalowski; Szymon Wilk; Riccardo Bellazzi (Artif. Intell. Medicine, 2023)

Do You Trust Your Model Explanations? An Analysis of XAI Performance Under Dataset Shift. - Lorenzo Peracchio; Giovanna Nicora; Tommaso Mario Buonocore; Riccardo Bellazzi; Enea Parimbelli (AIME (2), 2024)

Sequencing Efforts and Epidemiological Trends: Analyzing SARS-CoV-2 Dynamics Across European Nations. - Simone Rancati; Daniele Pala; Simone Marini; Marco Salemi; Riccardo Bellazzi; Giovanna Nicora (BIBM, 2024)

SynthCheck: A Dashboard for Synthetic Data Quality Assessment. - Gabriele Santangelo; Giovanna Nicora; Riccardo Bellazzi; Arianna Dagliati (BIOSTEC (2), 2024)

Systematic Comparison of Machine Learning for Activity Recognition in Cross-Subject vs. NonCross-Subject Scenarios: A Preliminary Analysis. - Samuele Pe; Giovanna Nicora; Bruna Maria Vittoria Guerra; Stefania Sozzi; Enea Parimbelli (RTSI, 2024)

Forecasting dominance of SARS-CoV-2 lineages by anomaly detection using deep AutoEncoders. - Simone Rancati; Giovanna Nicora; Mattia Prosperi; Riccardo Bellazzi; Marco Salemi; Simone Marini (Briefings Bioinform., 2024)

Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis. - Lorenzo Peracchio; Giovanna Nicora; Enea Parimbelli; Tommaso Mario Buonocore; Roberto Bergamaschi; Eleonora Tavazzi; Arianna Dagliati; Riccardo Bellazzi (CoRR, 2024)

Introducing Δ-XAI: a novel sensitivity-based method for local AI explanations. - Alessandro De Carlo; Enea Parimbelli; Nicola Melillo; Giovanna Nicora (CoRR, 2024)

Bayesian Networks in the Management of Hospital Admissions: A Comparison between Explainable AI and Black Box AI during the Pandemic. - Giovanna Nicora; Michele Catalano; Chandra Bortolotto; Marina Francesca Achilli; Gaia Messana; Antonio Lo Tito; Alessio Consonni; Sara Cutti; Federico Comotto; Giulia Maria Stella; Angelo Corsico; Stefano Perlini; et al. (J. Imaging, 2024)

Clinical Outcome Measurement Scales: A Domain Ontology and a Use Case for Stroke Rehabilitation. - Lucia Sacchi; Giovanna Nicora; Irene Aprile; Silvana Quaglini (AIME (2), 2025)

Upper Limb Movements Simulations with Generative Diffusion Models. - Gabriele Santangelo; Chiara Alessi; Nikolas Sacchi; Giovanna Nicora; Riccardo Bellazzi; Antonella Ferrara; Arianna Dagliati (AIME (2), 2025)

Exploring Usability Standards in Robotic Rehabilitation: A Meta-Analysis of System Usability Scale Scores. - Giovanna Nicora; Gabriele Santangelo; Giacomo Marzero; Arianna Dagliati; Irene Aprile; Silvana Quaglini (ICORR, 2025)

SARITA: a large language model for generating the S1 subunit of the SARS-CoV-2 spike protein. - Simone Rancati; Giovanna Nicora; Laura Bergomi; Tommaso Mario Buonocore; Daniel M. Czyz; Enea Parimbelli; Riccardo Bellazzi; Marco Salemi; Mattia Prosperi; Simone Marini (Briefings Bioinform., 2025)

RelAI: an automated approach to judge pointwise ML prediction reliability. - Lorenzo Peracchio; Giovanna Nicora; Enea Parimbelli; Tommaso Mario Buonocore; Eleonora Tavazzi; Roberto Bergamaschi; Arianna Dagliati; Riccardo Bellazzi (Int. J. Medical Informatics, 2025)

End-User Confidence in Artificial Intelligence-Based Predictions Applied to Biomedical Data. - Zvi Kam; Lorenzo Peracchio; Giovanna Nicora (Int. J. Neural Syst., 2025)

Which explanations do clinicians prefer? A comparative evaluation of XAI understandability and actionability in predicting the need for hospitalization. - Laura Bergomi; Giovanna Nicora; Marta Anna Orlowska; Chiara Podrecca; Riccardo Bellazzi; Caterina Fregosi; Francesco Salinaro; Marco Bonzano; Giuseppe Crescenzi; Francesco Speciale; Santi Di Pietro; Valentina Zuccaro; et al. (BMC Medical Informatics Decis. Mak., 2025)

How good is your synthetic data? SynthRO, a dashboard to evaluate and benchmark synthetic tabular data. - Gabriele Santangelo; Giovanna Nicora; Riccardo Bellazzi; Arianna Dagliati (BMC Medical Informatics Decis. Mak., 2025)