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Giovanna Nicora
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Journal Articles
- 2024
- [j4]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): 117 (2024) - 2023
- [j3]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: 102471 (2023) - 2022
- [j2]Giovanna Nicora, Miguel Rios, Ameen Abu-Hanna, Riccardo Bellazzi:
Evaluating pointwise reliability of machine learning prediction. J. Biomed. Informatics 127: 103996 (2022) - 2020
- [j1]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: 103398 (2020)
Conference and Workshop Papers
- 2024
- [c10]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: 257-266 - [c9]Gabriele Santangelo, Giovanna Nicora, Riccardo Bellazzi, Arianna Dagliati:
SynthCheck: A Dashboard for Synthetic Data Quality Assessment. BIOSTEC (2) 2024: 246-256 - 2023
- [c8]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: 1210-1218 - 2022
- [c7]Tommaso Mario Buonocore, Giovanna Nicora, Arianna Dagliati, Enea Parimbelli:
Evaluation of XAI on ALS 6-months mortality prediction. CLEF (Working Notes) 2022: 1228-1235 - [c6]Giovanna Nicora, Simone Marini, Marco Salemi, Riccardo Bellazzi:
Dynamic Prediction of Non-Neutral SARS-Cov-2 Variants Using Incremental Machine Learning. MIE 2022: 654-658 - 2021
- [c5]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: 79-84 - [c4]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: 43-47 - 2020
- [c3]Giovanna Nicora, Riccardo Bellazzi:
A Reliable Machine Learning Approach applied to Single-Cell Classification in Acute Myeloid Leukemia. AMIA 2020 - 2019
- [c2]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: 42-46 - [c1]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: 114-119
Informal and Other Publications
- 2024
- [i4]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 abs/2402.17554 (2024) - [i3]Alessandro De Carlo, Enea Parimbelli, Nicola Melillo, Giovanna Nicora:
Introducing Δ-XAI: a novel sensitivity-based method for local AI explanations. CoRR abs/2407.18343 (2024) - 2021
- [i2]Riccardo Bellazzi, Andrea Codegoni, Stefano Gualandi, Giovanna Nicora, Eleonora Vercesi:
The Gene Mover's Distance: Single-cell similarity via Optimal Transport. CoRR abs/2102.01218 (2021) - [i1]Enea Parimbelli, Giovanna Nicora, Szymon Wilk, Wojtek Michalowski, Riccardo Bellazzi:
Tree-based local explanations of machine learning model predictions, AraucanaXAI. CoRR abs/2110.08272 (2021)
Coauthor Index
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last updated on 2024-09-10 02:09 CEST by the dblp team
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