Giovanna Nicora

Orcid: 0000-0001-7007-0862

According to our database1, Giovanna Nicora authored at least 20 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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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

Introducing Δ-XAI: a novel sensitivity-based method for local AI explanations.
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

SynthCheck: A Dashboard for Synthetic Data Quality Assessment.
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
Evaluating pointwise reliability of machine learning prediction.
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

Evaluation of XAI on ALS 6-months mortality prediction.
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.
CoRR, 2021

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

ALFABETO: Supporting COVID-19 Hospital Admissions with Bayesian Networks.
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


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