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ORCIDPedro H. Abreu
- > Home > Persons > Pedro H. Abreu
Publications
- 2025
[j48]Filipe Loyola Lopes
, Arthur Dantas Mangussi, Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Henriques Abreu, Ana Carolina Lorena:
A Label Propagation Approach for Missing Data Imputation. IEEE Access 13: 65925-65938 (2025)- [j46]Arthur Dantas Mangussi, Ricardo Cardoso Pereira, Ana Carolina Lorena, Miriam Seoane Santos, Pedro Henriques Abreu:
Studying the robustness of data imputation methodologies against adversarial attacks. Comput. Secur. 157: 104574 (2025) - [j44]Joana Cristo Santos, Hugo Tomás Pereira Alexandre, Miriam Seoane Santos, Pedro Henriques Abreu:
The Role of Deep Learning in Medical Image Inpainting: A Systematic Review. ACM Trans. Comput. Heal. 6(3): 30:1-30:24 (2025) - [j43]Arthur Dantas Mangussi, Miriam Seoane Santos, Filipe Loyola Lopes, Ricardo Cardoso Pereira, Ana Carolina Lorena, Pedro Henriques Abreu:
mdatagen: A python library for the artificial generation of missing data. Neurocomputing 625: 129478 (2025) - [j42]Diogo Apóstolo, Miriam Seoane Santos, Ana Carolina Lorena, Pedro Henriques Abreu:
Pycol: A Python package for dataset complexity measures. Neurocomputing 640: 130311 (2025) - 2024
- [c44]Joana Cristo Santos, Miriam Seoane Santos, Pedro Henriques Abreu:
Reconstruction of Mammography Projections using Image-to-Image Translation Techniques. ESANN 2024 - [c42]Joana Cristo Santos, Miriam Seoane Santos, Pedro Henriques Abreu:
An Interpretable Human-in-the-Loop Process to Improve Medical Image Classification. IDA (1) 2024: 179-190 - 2023
- [j35]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: 228-253 (2023) - 2022
- [j33]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): 6207-6275 (2022) - [j32]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: 104791 (2022) - [c37]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: 1-8 - 2021
- [j30]Teresa Salazar, Miriam Seoane Santos, Helder Araújo, Pedro Henriques Abreu:
FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes. IEEE Access 9: 81370-81379 (2021) - 2020
- [j27]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: 1255-1285 (2020) - [j26]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: 111-119 (2020) - [c35]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: 486-496 - 2019
- [j24]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: 11651-11667 (2019) - [c30]Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Pereira Rodrigues, Pedro Henriques Abreu:
MNAR Imputation with Distributed Healthcare Data. EPIA (2) 2019: 184-195 - 2018
- [j20]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): 59-76 (2018) - [j19]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): 1278-1293 (2018) - [c22]Adriana Fonseca Costa, Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu:
Missing Data Imputation via Denoising Autoencoders: The Untold Story. IDA 2018: 87-98 - [c21]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: 200-212 - [c20]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: 251-263 - 2017
- [c17]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: 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
- [j14]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): 52:1-52:40 (2016) - 2015
- [j10]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: 49-59 (2015)
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last updated on 2025-08-28 00:40 CEST by the dblp team
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