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2020 – today
- 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)- [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 - [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) - 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) - [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
- [j2]Giovanna Nicora, Miguel Rios, Ameen Abu-Hanna, Riccardo Bellazzi:
Evaluating pointwise reliability of machine learning prediction. J. Biomed. Informatics 127: 103996 (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 - [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) - 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) - [c3]Giovanna Nicora, Riccardo Bellazzi:
A Reliable Machine Learning Approach applied to Single-Cell Classification in Acute Myeloid Leukemia. AMIA 2020
2010 – 2019
- 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
Coauthor Index
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last updated on 2024-09-10 01:15 CEST by the dblp team
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