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Miriam Seoane Santos
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2020 – today
- 2025
- [j13]Arthur Dantas Mangussi
, Miriam Seoane Santos
mdatagen: A python library for the artificial generation of missing data. Neurocomputing 625: 129478 (2025) - 2024
- [c9]Joana Cristo Santos, Miriam Seoane Santos, Pedro Henriques Abreu:
Reconstruction of Mammography Projections using Image-to-Image Translation Techniques. ESANN 2024 - [c8]Joana Cristo Santos
An Interpretable Human-in-the-Loop Process to Improve Medical Image Classification. IDA (1) 2024: 179-190 - 2023
- [j12]Fabiana Clemente, Gonçalo Martins Ribeiro, Alexandre Quemy
ydata-profiling: Accelerating data-centric AI with high-quality data. Neurocomputing 554: 126585 (2023) - [j11]Miriam Seoane Santos
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research. Inf. Fusion 89: 228-253 (2023) - 2022
- [j10]Miriam Seoane Santos
On the joint-effect of class imbalance and overlap: a critical review. Artif. Intell. Rev. 55(8): 6207-6275 (2022) - [j9]Miriam Seoane Santos
The impact of heterogeneous distance functions on missing data imputation and classification performance. Eng. Appl. Artif. Intell. 111: 104791 (2022) - [c7]Joana Cristo Santos
The identification of cancer lesions in mammography images with missing pixels: analysis of morphology. DSAA 2022: 1-8 - 2021
- [j8]Teresa Salazar
FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes. IEEE Access 9: 81370-81379 (2021) - 2020
- [j7]Ricardo Cardoso Pereira
Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes. J. Artif. Intell. Res. 69: 1255-1285 (2020) - [j6]Miriam Seoane Santos
How distance metrics influence missing data imputation with k-nearest neighbours. Pattern Recognit. Lett. 136: 111-119 (2020) - [c6]Miriam Seoane Santos
Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets. AIME 2020: 486-496
2010 – 2019
- 2019
- [j5]Miriam Seoane Santos
Generating Synthetic Missing Data: A Review by Missing Mechanism. IEEE Access 7: 11651-11667 (2019) - [c5]Ricardo Cardoso Pereira
MNAR Imputation with Distributed Healthcare Data. EPIA (2) 2019: 184-195 - 2018
- [j4]Miriam Seoane Santos
Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier]. IEEE Comput. Intell. Mag. 13(4): 59-76 (2018) - [j3]Miriam Seoane Santos
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): 1278-1293 (2018) - [c4]Adriana Fonseca Costa, Miriam Seoane Santos
Missing Data Imputation via Denoising Autoencoders: The Untold Story. IDA 2018: 87-98 - [c3]Marta Mercier, Miriam Seoane Santos
Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts. IDA 2018: 200-212 - [c2]Jastin Pompeu Soares, Miriam Seoane Santos
Exploring the Effects of Data Distribution in Missing Data Imputation. IDA 2018: 251-263 - 2017
- [c1]Miriam Seoane Santos
Influence of Data Distribution in Missing Data Imputation. AIME 2017: 285-294 - [d1]Miriam Seoane Santos, Pedro H. Abreu, Pedro J. García-Laencina, Adélia Simão, Armando Carvalho:
HCC Survival. UCI Machine Learning Repository, 2017 - 2016
- [j2]Pedro Henriques Abreu
Predicting Breast Cancer Recurrence Using Machine Learning Techniques: A Systematic Review. ACM Comput. Surv. 49(3): 52:1-52:40 (2016) - 2015
- [j1]Miriam Seoane Santos
A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients. J. Biomed. Informatics 58: 49-59 (2015)
Coauthor Index
aka: Pedro Henriques Abreu
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