Giovanna Nicora

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Triangular Inequality

Multiple Sclerosis

Multiply Sectioned Bayesian Networks

Top Venues

J. Biomed. Informatics

CLEF (Working Notes)

Publications

Lorenzo Peracchio, Giovanna Nicora, Enea Parimbelli, Tommaso Mario Buonocore, Roberto Bergamaschi, Eleonora Tavazzi, Arianna Dagliati, Riccardo Bellazzi
Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis. CoRR (2024)
Lorenzo Peracchio, Giovanna Nicora, Tommaso Mario Buonocore, Riccardo Bellazzi, Enea Parimbelli
Do You Trust Your Model Explanations? An Analysis of XAI Performance Under Dataset Shift. AIME (2) (2024)
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, Riccardo Bellazzi, Raffaele Bruno, Lorenzo Preda
Bayesian Networks in the Management of Hospital Admissions: A Comparison between Explainable AI and Black Box AI during the Pandemic. J. Imaging 10 (5) (2024)
Gabriele Santangelo, Giovanna Nicora, Riccardo Bellazzi, Arianna Dagliati
SynthCheck: A Dashboard for Synthetic Data Quality Assessment. BIOSTEC (2) (2024)
Alessandro De Carlo, Enea Parimbelli, Nicola Melillo, Giovanna Nicora
Introducing Δ-XAI: a novel sensitivity-based method for local AI explanations. CoRR (2024)
Enea Parimbelli, Tommaso Mario Buonocore, Giovanna Nicora, Wojtek Michalowski, Szymon Wilk, Riccardo Bellazzi
Why did AI get this one wrong? - Tree-based explanations of machine learning model predictions. Artif. Intell. Medicine 135 (2023)
Tommaso Mario Buonocore, Pietro Bosoni, Giovanna Nicora, Mahin Vazifehdan, Riccardo Bellazzi, Enea Parimbelli, Arianna Dagliati
Predicting and Explaining Risk of Disease Worsening Using Temporal Features in Multiple Sclerosis. CLEF (Working Notes) (2023)
Giovanna Nicora, Simone Marini, Marco Salemi, Riccardo Bellazzi
Dynamic Prediction of Non-Neutral SARS-Cov-2 Variants Using Incremental Machine Learning. MIE (2022)
Tommaso Mario Buonocore, Giovanna Nicora, Arianna Dagliati, Enea Parimbelli
Evaluation of XAI on ALS 6-months mortality prediction. CLEF (Working Notes) (2022)
Giovanna Nicora, Miguel Rios, Ameen Abu-Hanna, Riccardo Bellazzi
Evaluating pointwise reliability of machine learning prediction. J. Biomed. Informatics 127 (2022)
Enea Parimbelli, Giovanna Nicora, Szymon Wilk, Wojtek Michalowski, Riccardo Bellazzi
Tree-based local explanations of machine learning model predictions, AraucanaXAI. CoRR (2021)
Riccardo Bellazzi, Andrea Codegoni, Stefano Gualandi, Giovanna Nicora, Eleonora Vercesi
The Gene Mover's Distance: Single-cell similarity via Optimal Transport. CoRR (2021)
Giovanna Nicora, Antonio Lo Tito, Antonella Donatelli, Giovanni Callea, Carla Biasibetti, Maria Vittoria Galli, Federico Comotto, Chandra Bortolotto, Stefano Perlini, Lorenzo Preda, Riccardo Bellazzi
ALFABETO: Supporting COVID-19 Hospital Admissions with Bayesian Networks. SMARTERCARE@AI*IA (2021)
Giulia Campi, Giovanna Nicora, Giulia Fiorentino, Andrew Smith, Fulvio Magni, Silvia Garagna, Maurizio Zuccotti, Riccardo Bellazzi
A Topological Data Analysis Mapper of the Ovarian Folliculogenesis Based on MALDI Mass Spectrometry Imaging Proteomics. AIME (2021)
Giovanna Nicora, Riccardo Bellazzi
A Reliable Machine Learning Approach applied to Single-Cell Classification in Acute Myeloid Leukemia. AMIA (2020)
Giovanna Nicora, F. Moretti, Elisabetta Sauta, Matteo Giovanni Della Porta, Luca Malcovati, Mario Cazzola, Silvana Quaglini, Riccardo Bellazzi
A continuous-time Markov model approach for modeling myelodysplastic syndromes progression from cross-sectional data. J. Biomed. Informatics 104 (2020)
Giovanna Nicora, Simone Marini, Ivan Limongelli, Ettore Rizzo, Stefano Montoli, Francesca Floriana Tricomi, Riccardo Bellazzi
A Semi-supervised Learning Approach for Pan-Cancer Somatic Genomic Variant Classification. AIME (2019)
Giovanna Nicora, Ivan Limongelli, Riccardo Cova, Matteo Giovanni Della Porta, Luca Malcovati, Mario Cazzola, Riccardo Bellazzi
A Rule-Based Expert System for Automatic Implementation of Somatic Variant Clinical Interpretation Guidelines. AIME (2019)