Miriam Seoane Santos

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 20

Top Topics

Data Imputation

Systematic Review

Nearest Neighbour

Distance Function

Top Venues

IEEE Comput. Intell. Mag.

Publications

Joana Cristo Santos, Miriam Seoane Santos, Pedro Henriques Abreu
An Interpretable Human-in-the-Loop Process to Improve Medical Image Classification. IDA (1) (2024)
Fabiana Clemente, Gonçalo Martins Ribeiro, Alexandre Quemy, Miriam Seoane Santos, Ricardo Cardoso Pereira, Alex Barros
ydata-profiling: Accelerating data-centric AI with high-quality data. Neurocomputing 554 (2023)
Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, João A. M. Santos
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research. Inf. Fusion 89 (2023)
Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, Carlos Soares, Szymon Wilk, João A. M. Santos
On the joint-effect of class imbalance and overlap: a critical review. Artif. Intell. Rev. 55 (8) (2022)
Miriam Seoane Santos, Pedro Henriques Abreu, Alberto Fernández, Julián Luengo, João A. M. Santos
The impact of heterogeneous distance functions on missing data imputation and classification performance. Eng. Appl. Artif. Intell. 111 (2022)
Joana Cristo Santos, Pedro Henriques Abreu, Miriam Seoane Santos
The identification of cancer lesions in mammography images with missing pixels: analysis of morphology. DSAA (2022)
Teresa Salazar, Miriam Seoane Santos, Helder Araújo, Pedro Henriques Abreu
FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes. IEEE Access 9 (2021)
Miriam Seoane Santos, Pedro Henriques Abreu, Szymon Wilk, João A. M. Santos
How distance metrics influence missing data imputation with k-nearest neighbours. Pattern Recognit. Lett. 136 (2020)
Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Pereira Rodrigues, Pedro Henriques Abreu
Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes. J. Artif. Intell. Res. 69 (2020)
Miriam Seoane Santos, Pedro H. Abreu, Szymon Wilk, João A. M. Santos
Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets. AIME (2020)
Miriam Seoane Santos, Ricardo Cardoso Pereira, Adriana Fonseca Costa, Jastin Pompeu Soares, João A. M. Santos, Pedro Henriques Abreu
Generating Synthetic Missing Data: A Review by Missing Mechanism. IEEE Access 7 (2019)
Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Pereira Rodrigues, Pedro Henriques Abreu
MNAR Imputation with Distributed Healthcare Data. EPIA (2) (2019)
Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos
Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier]. IEEE Comput. Intell. Mag. 13 (4) (2018)
Marta Mercier, Miriam Seoane Santos, Pedro H. Abreu, Carlos Soares, Jastin Pompeu Soares, João A. M. Santos
Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts. IDA (2018)
Adriana Fonseca Costa, Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu
Missing Data Imputation via Denoising Autoencoders: The Untold Story. IDA (2018)
Jastin Pompeu Soares, Miriam Seoane Santos, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos
Exploring the Effects of Data Distribution in Missing Data Imputation. IDA (2018)
Miriam Seoane Santos, Pedro H. Abreu, Germán Rodríguez-Bermúdez, Pedro J. García-Laencina
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. 11 (1) (2018)
Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos
Influence of Data Distribution in Missing Data Imputation. AIME (2017)
Pedro Henriques Abreu, Miriam Seoane Santos, Miguel Henriques Abreu, Bruno Andrade, Daniel Castro Silva
Predicting Breast Cancer Recurrence Using Machine Learning Techniques: A Systematic Review. ACM Comput. Surv. 49 (3) (2016)
Miriam Seoane Santos, Pedro Henriques Abreu, Pedro J. García-Laencina, Adélia Simão, Armando Carvalho
A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients. J. Biomed. Informatics 58 (2015)