Sara C. Madeira

Primary tabs

2018
Henriques, R., and S. C. Madeira, "BSig: evaluating the statistical significance of biclustering solutions", Data Mining and Knowledge Discovery, vol. 32, no. 1: Springer, pp. 124–161, 2018.
Pereira, T., S. Cardoso, D. Silva, M. Guerreiro, A. de Mendonça, and S. C. Madeira, "Ensemble learning with Conformal Predictors: Targeting credible predictions of conversion from Mild Cognitive Impairment to Alzheimer's Disease", Workshop on Machine Learning for Medicine and Healthcare, 2018.
Henriques, R., and S. C. Madeira, "Triclustering Algorithms for Three-Dimensional Data Analysis: A Comprehensive Survey", ACM Computing Surveys (CSUR), vol. 51, no. 5: ACM, pp. 95, 2018.
2017
Henriques, R., F. L. Ferreira, and S. C. Madeira, "BicPAMS: software for biological data analysis with pattern-based biclustering", BMC bioinformatics, vol. 18, no. 1: BioMed Central, pp. 82, 2017.
Henriques, R., and S. C. Madeira, "BSig: evaluating the statistical significance of biclustering solutions", Data Mining and Knowledge Discovery: Springer, pp. 1–38, 2017.
Ferreira, F. L., S. Cardoso, D. Silva, M. Guerreiro, A. de Mendonça, and S. C. Madeira, "Improving Prognostic Prediction from Mild Cognitive Impairment to Alzheimer’s Disease Using Genetic Algorithms", International Conference on Practical Applications of Computational Biology & Bioinformatics: Springer, pp. 180–188, 2017.
Pereira, T., L. Lemos, S. Cardoso, D. Silva, A. Rodrigues, I. Santana, A. Mendonça, M. Guerreiro, and S. C. Madeira, "Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows", BMC medical informatics and decision making, vol. 17, no. 1: BioMed Central, pp. 110, 2017.
Pereira, T., A. Mendon, F. Ferreira, S. Madeira, M. Guerreiro, and , "Towards a reliable prediction of conversion from Mild Cognitive Impairment to Alzheimer’s Disease: stepwise learning using time windows", Medical Informatics and Healthcare, pp. 19–26, 2017.
Pereira, T., S. Cardoso, D. Silva, A. de Mendonça, M. Guerreiro, and S. C. Madeira, "Trustworthy Predictions of Conversion from Mild Cognitive Impairment to Dementia: A Conformal Prediction Approach", International Conference on Practical Applications of Computational Biology & Bioinformatics: Springer, pp. 155–163, 2017.
2016
Henriques, R., and S. C. Madeira, "BiC2PAM: constraint-guided biclustering for biological data analysis with domain knowledge", Algorithms for Molecular Biology, vol. 11, no. 1: BioMed Central, pp. 23, 2016.
Henriques, R., and S. C. Madeira, "BicNET: Flexible module discovery in large-scale biological networks using biclustering", Algorithms for Molecular Biology, vol. 11, no. 1: BioMed Central, pp. 14, 2016.
2015
Maruta, C., T. Pereira, S. C. Madeira, A. de Mendonça, and M. Guerreiro, "Classification of primary progressive aphasia: Do unsupervised data mining methods support a logopenic variant?", Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, vol. 16, no. 3-4: Taylor & Francis, pp. 147–159, 2015.
2014
Pereira, T., C. Maruta, A. de Mendonça, M. Guerreiro, and S. C. Madeira, "Do Data Mining Methods Support the Three-Group Diagnostic Model of Primary Progressive Aphasia?", ACM SIGKDD Workshop on Healthcare Informatics (HI-KDD 2014), 2014.