Feature selection in image analysis: a survey von Bolón-Canedo, Verónica, Remeseiro, Beatriz

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Ensembles for feature selection: A review and future trends von Bolón-Canedo, Verónica, Alonso-Betanzos, Amparo

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Importance of coding co-morbidities for APR-DRG assignment: Focus on cardiovascular and respiratory diseases von Souza, Julio, Santos, João Vasco, Canedo, Veronica Bolon, Betanzos, Amparo, Alves, Domingos, Freitas, Alberto

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The imbalance problem: A comparison of sampling approaches using different parameters and feature selection methods in the context of classification von Morillo‐Salas, Jose L., Bolón‐Canedo, Verónica, Alonso‐Betanzos, Amparo

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Low-precision feature selection on microarray data: an information theoretic approach von Morán-Fernández, Laura, Bolón-Canedo, Verónica, Alonso-Betanzos, Amparo

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Fed-mRMR: A lossless federated feature selection method von Hermo, Jorge, Bolón-Canedo, Verónica, Ladra, Susana

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Expert Diagnosis of Plus Disease in Retinopathy of Prematurity From Computer-Based Image Analysis von Campbell, J. Peter, Ataer-Cansizoglu, Esra, Bolon-Canedo, Veronica, Bozkurt, Alican, Erdogmus, Deniz, Kalpathy-Cramer, Jayashree, Patel, Samir N, Reynolds, James D, Horowitz, Jason, Hutcheson, Kelly, Shapiro, Michael, Repka, Michael X, Ferrone, Phillip, Drenser, Kimberly, Martinez-Castellanos, Maria Ana, Ostmo, Susan, Jonas, Karyn, Chan, R.V. Paul, Chiang, Michael F

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Dealing with heterogeneity in the context of distributed feature selection for classification von Morillo-Salas, José Luis, Bolón-Canedo, Verónica, Alonso-Betanzos, Amparo

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On the use of feature selection to improve the detection of sea oil spills in SAR images von Mera, David, Bolon-Canedo, Veronica, Cotos, J.M., Alonso-Betanzos, Amparo

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A review of feature selection methods in medical applications von Remeseiro, Beatriz, Bolon-Canedo, Veronica

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A review of green artificial intelligence: Towards a more sustainable future von Bolón-Canedo, Verónica, Morán-Fernández, Laura, Cancela, Brais, Alonso-Betanzos, Amparo

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Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning von Meira, Jorge, Eiras-Franco, Carlos, Bolón-Canedo, Verónica, Marreiros, Goreti, Alonso-Betanzos, Amparo

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Recent Advances in Ensembles for Feature Selection von Bolón-Canedo, Verónica, Alonso-Betanzos, Amparo

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Do all roads lead to Rome? Studying distance measures in the context of machine learning von Blanco-Mallo, Eva, Morán-Fernández, Laura, Remeseiro, Beatriz, Bolón-Canedo, Verónica

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Feature selection for high-dimensional data von Bolón-Canedo, Verónica, Sánchez-Maroño, Noelia, Alonso-Betanzos, Amparo

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A novel framework for generic Spark workload characterization and similar pattern recognition using machine learning von Garralda-Barrio, Mariano, Eiras-Franco, Carlos, Bolón-Canedo, Verónica

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How important is data quality? Best classifiers vs best features von Morán-Fernández, Laura, Bólon-Canedo, Verónica, Alonso-Betanzos, Amparo

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Towards federated feature selection: Logarithmic division for resource-conscious methods von Suárez-Marcote, Samuel, Morán-Fernández, Laura, Bolón-Canedo, Verónica

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Finding a needle in a haystack: insights on feature selection for classification tasks von Morán-Fernández, Laura, Bolón-Canedo, Verónica

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Data analysis and feature selection for predictive maintenance: A case-study in the metallurgic industry von Fernandes, Marta, Canito, Alda, Bolón-Canedo, Verónica, Conceição, Luís, Praça, Isabel, Marreiros, Goreti

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