Eunice Carrasquinha

Orcid: 0000-0003-3465-4347

According to our database1, Eunice Carrasquinha authored at least 12 papers between 2014 and 2024.

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

Timeline

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Refining Gene Selection and Outlier Detection in Glioblastoma Based on a Consensus Approach for Regularized Survival Models.
Proceedings of the Bioinformatics and Biomedical Engineering, 2024

2022
Feature selection using Decomposed Mutual Information Maximization.
Neurocomputing, 2022

2020
Network-Based Variable Selection for Survival Outcomes in Oncological Data.
Proceedings of the Bioinformatics and Biomedical Engineering, 2020

2019
Modelling cancer outcomes of bone metastatic patients: combining survival data with N-Telopeptide of type I collagen (NTX) dynamics through joint models.
BMC Medical Informatics Decis. Mak., 2019

On the Role of Hub and Orphan Genes in the Diagnosis of Breast Invasive Carcinoma.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

Random Sample Consensus for the Robust Identification of Outliers in Cancer Data.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

Regularization Techniques in Radiomics: A Case Study on the Prediction of pCR in Breast Tumours and the Axilla.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

2018
Image reconstruction based on circulant matrices.
Signal Process. Image Commun., 2018

Ensemble outlier detection and gene selection in triple-negative breast cancer data.
BMC Bioinform., 2018

Identification of influential observations in high-dimensional cancer survival data through the rank product test.
BioData Min., 2018

Variable Selection and Outlier Detection in Regularized Survival Models: Application to Melanoma Gene Expression Data.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018

2014
Robust Bootstrap Confidence Intervals: An Application Study for Denoising Images.
Proceedings of the 2014 14th International Conference on Computational Science and Its Applications, Guimaraes, Portugal, June 30, 2014


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