Miriam Seoane Santos

26 papers B 7Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Label Propagation Approach for Missing Data Imputation.
IEEE Access
Filipe Loyola Lopes, Arthur Dantas Mangussi, Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Henriques Abreu, Ana Carolina Lorena
2025 J jnl
Pycol: A Python package for dataset complexity measures.
Neurocomputing
Diogo Apóstolo, Miriam Seoane Santos, Ana Carolina Lorena, Pedro Henriques Abreu
2025 J jnl
Studying the robustness of data imputation methodologies against adversarial attacks.
Comput. Secur.
Arthur Dantas Mangussi, Ricardo Cardoso Pereira, Ana Carolina Lorena, Miriam Seoane Santos, Pedro Henriques Abreu
2025 J jnl
The Role of Deep Learning in Medical Image Inpainting: A Systematic Review.
ACM Trans. Comput. Heal.
Joana Cristo Santos, Hugo Tomás Pereira Alexandre, Miriam Seoane Santos, Pedro Henriques Abreu
2025 J jnl
mdatagen: A python library for the artificial generation of missing data.
Neurocomputing
Arthur Dantas Mangussi, Miriam Seoane Santos, Filipe Loyola Lopes, Ricardo Cardoso Pereira, Ana Carolina Lorena, Pedro Henriques Abreu
2024 — conf
An Interpretable Human-in-the-Loop Process to Improve Medical Image Classification.
IDA (1)
Joana Cristo Santos, Miriam Seoane Santos, Pedro Henriques Abreu
2024 B conf
Reconstruction of Mammography Projections using Image-to-Image Translation Techniques.
ESANN
Joana Cristo Santos, Miriam Seoane Santos, Pedro Henriques Abreu
2023 J jnl
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research.
Inf. Fusion
Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, João A. M. Santos
2023 J jnl
ydata-profiling: Accelerating data-centric AI with high-quality data.
Neurocomputing
Fabiana Clemente, Gonçalo Martins Ribeiro, Alexandre Quemy, Miriam Seoane Santos, Ricardo Cardoso Pereira, Alex Barros
2022 J jnl
On the joint-effect of class imbalance and overlap: a critical review.
Artif. Intell. Rev.
Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, Carlos Soares, Szymon Wilk, João A. M. Santos
2022 B conf
The identification of cancer lesions in mammography images with missing pixels: analysis of morphology.
DSAA
Joana Cristo Santos, Pedro Henriques Abreu, Miriam Seoane Santos
2022 J jnl
The impact of heterogeneous distance functions on missing data imputation and classification performance.
Eng. Appl. Artif. Intell.
Miriam Seoane Santos, Pedro Henriques Abreu, Alberto Fernández, Julián Luengo, João A. M. Santos
2021 J jnl
FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes.
IEEE Access
Teresa Salazar, Miriam Seoane Santos, Helder Araújo, Pedro Henriques Abreu
2020 B conf
Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets.
AIME
Miriam Seoane Santos, Pedro H. Abreu, Szymon Wilk, João A. M. Santos
2020 J jnl
How distance metrics influence missing data imputation with k-nearest neighbours.
Pattern Recognit. Lett.
Miriam Seoane Santos, Pedro Henriques Abreu, Szymon Wilk, João A. M. Santos
2020 J jnl
Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes.
J. Artif. Intell. Res.
Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Pereira Rodrigues, Pedro Henriques Abreu
2019 J jnl
Generating Synthetic Missing Data: A Review by Missing Mechanism.
IEEE Access
Miriam Seoane Santos, Ricardo Cardoso Pereira, Adriana Fonseca Costa, Jastin Pompeu Soares, João A. M. Santos, Pedro Henriques Abreu
2019 — conf
MNAR Imputation with Distributed Healthcare Data.
EPIA (2)
Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Pereira Rodrigues, Pedro Henriques Abreu
2018 B conf
Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts.
IDA
Marta Mercier, Miriam Seoane Santos, Pedro H. Abreu, Carlos Soares, Jastin Pompeu Soares, João A. M. Santos
2018 J jnl
Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier].
IEEE Comput. Intell. Mag.
Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos
2018 B conf
Exploring the Effects of Data Distribution in Missing Data Imputation.
IDA
Jastin Pompeu Soares, Miriam Seoane Santos, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos
2018 J jnl
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.
Miriam Seoane Santos, Pedro H. Abreu, Germán Rodríguez-Bermúdez, Pedro J. García-Laencina
2018 B conf
Missing Data Imputation via Denoising Autoencoders: The Untold Story.
IDA
Adriana Fonseca Costa, Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu
2017 B conf
Influence of Data Distribution in Missing Data Imputation.
AIME
Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos
2016 J jnl
Predicting Breast Cancer Recurrence Using Machine Learning Techniques: A Systematic Review.
ACM Comput. Surv.
Pedro Henriques Abreu, Miriam Seoane Santos, Miguel Henriques Abreu, Bruno Andrade, Daniel Castro Silva
2015 J jnl
A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients.
J. Biomed. Informatics
Miriam Seoane Santos, Pedro Henriques Abreu, Pedro J. García-Laencina, Adélia Simão, Armando Carvalho