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Sandra Cardoso
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2020 – today
- 2020
- [j3]Telma Pereira
, Sandra Cardoso, Manuela Guerreiro
Targeting the uncertainty of predictions at patient-level using an ensemble of classifiers coupled with calibration methods, Venn-ABERS, and Conformal Predictors: A case study in AD. J. Biomed. Informatics 101: 103350 (2020)
2010 – 2019
- 2019
- [c4]Pedro Miguel Faria, Pedro Miguel Moreira, Sandra Cardoso, Roberto Morais:
Visual Engagement and Historical Accuracy in a Production for a Video Mapping Projection. ARTECH 2019: 1:1-1:9 - [c3]Pedro Miguel Faria
Architecture for Video mapping Development: The Method and the Application in NMSPCAM. ICGI 2019: 72-79 - 2018
- [j2]Telma Pereira
Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer's disease: a feature selection ensemble combining stability and predictability. BMC Medical Informatics Decis. Mak. 18(1): 137:1-137:20 (2018) - [i1]Telma Pereira, Sandra Cardoso, Dina Silva, Manuela Guerreiro, Alexandre de Mendonça, Sara C. Madeira:
Ensemble learning with Conformal Predictors: Targeting credible predictions of conversion from Mild Cognitive Impairment to Alzheimer's Disease. CoRR abs/1807.01619 (2018) - 2017
- [j1]Telma Pereira
Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows. BMC Medical Informatics Decis. Mak. 17(1): 110:1-110:15 (2017) - [c2]Telma Pereira, Sandra Cardoso, Dina Silva
Towards Trustworthy Predictions of Conversion from Mild Cognitive Impairment to Dementia: A Conformal Prediction Approach. PACBB 2017: 155-163 - [c1]Francisco L. Ferreira, Sandra Cardoso, Dina Silva
Improving Prognostic Prediction from Mild Cognitive Impairment to Alzheimer's Disease Using Genetic Algorithms. PACBB 2017: 180-188
Coauthor Index
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