Giovanna Nicora
Orcid: 0000-0001-7007-0862
According to our database1,
Giovanna Nicora
authored at least 17 papers
between 2019 and 2024.
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Bibliography
2024
Bayesian Networks in the Management of Hospital Admissions: A Comparison between Explainable AI and Black Box AI during the Pandemic.
J. Imaging, May, 2024
Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis.
CoRR, 2024
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
Do You Trust Your Model Explanations? An Analysis of XAI Performance Under Dataset Shift.
Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024
2023
Why did AI get this one wrong? - Tree-based explanations of machine learning model predictions.
Artif. Intell. Medicine, January, 2023
Predicting and Explaining Risk of Disease Worsening Using Temporal Features in Multiple Sclerosis.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
2022
J. Biomed. Informatics, 2022
Dynamic Prediction of Non-Neutral SARS-Cov-2 Variants Using Incremental Machine Learning.
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022
2021
CoRR, 2021
A Topological Data Analysis Mapper of the Ovarian Folliculogenesis Based on MALDI Mass Spectrometry Imaging Proteomics.
Proceedings of the Artificial Intelligence in Medicine, 2021
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.
J. Biomed. Informatics, 2020
A Reliable Machine Learning Approach applied to Single-Cell Classification in Acute Myeloid Leukemia.
Proceedings of the AMIA 2020, 2020
2019
A Semi-supervised Learning Approach for Pan-Cancer Somatic Genomic Variant Classification.
Proceedings of the Artificial Intelligence in Medicine, 2019
A Rule-Based Expert System for Automatic Implementation of Somatic Variant Clinical Interpretation Guidelines.
Proceedings of the Artificial Intelligence in Medicine, 2019