Maria Gabriela Valeriano

Orcid: 0000-0002-3631-156X

According to our database1, Maria Gabriela Valeriano authored at least 7 papers between 2021 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Assessor Models for Explaining Instance Hardness in Classification Problems.
Proceedings of the International Joint Conference on Neural Networks, 2024

Explaining instances in the health domain based on the exploration of a dataset's hardness embedding.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
A Framework for Characterizing What Makes an Instance Hard to Classify.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022
Relating instance hardness to classification performance in a dataset: a visual approach.
Mach. Learn., 2022

Let the data speak: analysing data from multiple health centers of the São Paulo metropolitan area for COVID-19 clinical deterioration prediction.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021
PyHard: a novel tool for generating hardness embeddings to support data-centric analysis.
CoRR, 2021

Using Machine Learning to support health system planning during the Covid-19 pandemic: a case study using data from São José dos Campos (Brazil).
CLEI Electron. J., 2021


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