Miriam Seoane Santos

Orcid: 0000-0002-5912-963X

According to our database1, Miriam Seoane Santos authored at least 21 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
An Interpretable Human-in-the-Loop Process to Improve Medical Image Classification.
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

2023
ydata-profiling: Accelerating data-centric AI with high-quality data.
Neurocomputing, October, 2023

A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research.
Inf. Fusion, 2023

2022
The impact of heterogeneous distance functions on missing data imputation and classification performance.
Eng. Appl. Artif. Intell., 2022

On the joint-effect of class imbalance and overlap: a critical review.
Artif. Intell. Rev., 2022

The identification of cancer lesions in mammography images with missing pixels: analysis of morphology.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021
FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes.
IEEE Access, 2021

2020
How distance metrics influence missing data imputation with k-nearest neighbours.
Pattern Recognit. Lett., 2020

Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes.
J. Artif. Intell. Res., 2020

Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets.
Proceedings of the Artificial Intelligence in Medicine, 2020

2019
Generating Synthetic Missing Data: A Review by Missing Mechanism.
IEEE Access, 2019

MNAR Imputation with Distributed Healthcare Data.
Proceedings of the Progress in Artificial Intelligence, 2019

2018
Improving the Classifier Performance in Motor Imagery Task Classification: What are the steps in the classification process that we should worry about?
Int. J. Comput. Intell. Syst., 2018

Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier].
IEEE Comput. Intell. Mag., 2018

Exploring the Effects of Data Distribution in Missing Data Imputation.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Missing Data Imputation via Denoising Autoencoders: The Untold Story.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

2017

Influence of Data Distribution in Missing Data Imputation.
Proceedings of the Artificial Intelligence in Medicine, 2017

2016
Predicting Breast Cancer Recurrence Using Machine Learning Techniques: A Systematic Review.
ACM Comput. Surv., 2016

2015
A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients.
J. Biomed. Informatics, 2015


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