Giovanna Nicora
Orcid: 0000-0001-7007-0862
According to our database1,
Giovanna Nicora
authored at least 29 papers
between 2019 and 2025.
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Bibliography
2025
How good is your synthetic data? SynthRO, a dashboard to evaluate and benchmark synthetic tabular data.
BMC Medical Informatics Decis. Mak., December, 2025
Which explanations do clinicians prefer? A comparative evaluation of XAI understandability and actionability in predicting the need for hospitalization.
BMC Medical Informatics Decis. Mak., December, 2025
End-User Confidence in Artificial Intelligence-Based Predictions Applied to Biomedical Data.
Int. J. Neural Syst., April, 2025
Int. J. Medical Informatics, 2025
SARITA: a large language model for generating the S1 subunit of the SARS-CoV-2 spike protein.
Briefings Bioinform., 2025
Exploring Usability Standards in Robotic Rehabilitation: A Meta-Analysis of System Usability Scale Scores.
Proceedings of the International Conference On Rehabilitation Robotics, 2025
Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025
Clinical Outcome Measurement Scales: A Domain Ontology and a Use Case for Stroke Rehabilitation.
Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025
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
CoRR, 2024
Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis.
CoRR, 2024
Forecasting dominance of SARS-CoV-2 lineages by anomaly detection using deep AutoEncoders.
Briefings Bioinform., 2024
Systematic Comparison of Machine Learning for Activity Recognition in Cross-Subject vs. NonCross-Subject Scenarios: A Preliminary Analysis.
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
Sequencing Efforts and Epidemiological Trends: Analyzing SARS-CoV-2 Dynamics Across European Nations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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