Giovanna Nicora

According to our database, Giovanna Nicora authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

SynthCheck: A Dashboard for Synthetic Data Quality Assessment.

Gabriele Santangelo, Giovanna Nicora, Riccardo Bellazzi, Arianna Dagliati

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

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, January, 2023

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

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022

Evaluating pointwise reliability of machine learning prediction.

Giovanna Nicora, Miguel Rios, Ameen Abu-Hanna, Riccardo Bellazzi

J. Biomed. Informatics, 2022

Dynamic Prediction of Non-Neutral SARS-Cov-2 Variants Using Incremental Machine Learning.

Giovanna Nicora, Simone Marini, Marco Salemi, Riccardo Bellazzi

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Evaluation of XAI on ALS 6-months mortality prediction.

Tommaso Mario Buonocore, Giovanna Nicora, Arianna Dagliati, Enea Parimbelli

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Tree-based local explanations of machine learning model predictions, AraucanaXAI.

Enea Parimbelli, Giovanna Nicora, Szymon Wilk, Wojtek Michalowski, Riccardo Bellazzi

CoRR, 2021

The Gene Mover's Distance: Single-cell similarity via Optimal Transport.

Riccardo Bellazzi, Andrea Codegoni, Stefano Gualandi, Giovanna Nicora, Eleonora Vercesi

CoRR, 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

Proceedings of the Artificial Intelligence in Medicine, 2021

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

Proceedings of the Workshop on Towards Smarter Health Care: Can Artificial Intelligence Help? co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA2021), 2021

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

A Reliable Machine Learning Approach applied to Single-Cell Classification in Acute Myeloid Leukemia.

Giovanna Nicora, Riccardo Bellazzi

Proceedings of the AMIA 2020, 2020

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

Proceedings of the Artificial Intelligence in Medicine, 2019

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

Proceedings of the Artificial Intelligence in Medicine, 2019