Sarah Nogueira
Sarah Nogueira
PhD student in Computer Science, University of Manchester
Verified email at manchester.ac.uk - Homepage
Title
Cited by
Cited by
Year
On the stability of feature selection algorithms.
S Nogueira, K Sechidis, G Brown
J. Mach. Learn. Res. 18 (1), 6345-6398, 2017
932017
Measuring the stability of feature selection
S Nogueira, G Brown
Joint European conference on machine learning and knowledge discovery in …, 2016
722016
Measuring the Stability of Feature Selection with Applications to Ensemble Methods
S Nogueira, G Brown
262015
On the use of Spearman’s rho to measure the stability of feature rankings
S Nogueira, K Sechidis, G Brown
Iberian conference on pattern recognition and image analysis, 381-391, 2017
132017
Quantifying the stability of feature selection
S Nogueira
PQDT-Global, 2018
92018
On the Stability of Feature Selection in the Presence of Feature Correlations.
K Sechidis, K Papangelou, S Nogueira, J Weatherall, G Brown
ECML/PKDD (1), 327-342, 2019
72019
Technical Report: Proofs on Stability Measures
S Nogueira, G Brown
2015
Supplementary Material: On The Stability of Feature Selection in the Presence of Feature Correlations
K Sechidis, K Papangelou, S Nogueira, J Weatherall, G Brown
On the Use of Spearman’s Rho to Measure the Stability of Feature Rankings: Supplementary material
S Nogueira, K Sechidis, G Brown
Measuring the Stability of Feature Selection Supplementary Material
S Nogueira, G Brown
Lasso hiérarchique et génomique évolutive Laboratoire Statistique et Génome
S NOGUEIRA
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Articles 1–11