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Hybridizing Feature Selection and Feature Learning Approaches in QSAR Modeling for Drug Discovery

Ponzoni, Ignacio; Sebastián Pérez, Víctor; Requena Triguero, Carlos; Roca, Carlos; Martínez, María Jimena; Cravero, Fiorella; Diaz, Monica Fatima; Páez, Juan A.; Gómez Arrayás, Ramón; Adrio, Javier; Campillo, Nuria E. (Nature Publishing Group, 2017-05-25)

Quantitative structure–activity relationship modeling using machine learning techniques constitutes a complex computational problem, where the identification of the most informative molecular descriptors for predicting a ...

Towards vegetation species discrimination by using data-driven descriptors

Universidade Federal de Minas Gerais (UFMG); Universidade Estadual Paulista (Unesp); Universidade Estadual de Campinas (UNICAMP) (Ieee, 2016-01-01)

In this paper, we analyse the use of Convolutional Neural Networks (CNNs or ConvNets) to discriminate vegetation species with few labelled samples. To the best of our knowledge, this is the first work dedicated to the ...

Towards vegetation species discrimination by using data-driven descriptors

Universidade Federal de Minas Gerais (UFMG); Universidade Estadual Paulista (Unesp); Universidade Estadual de Campinas (UNICAMP) (2017-02-28)

Machine Learning for Web Intrusion Detection: A Comparative Analysis of Feature Selection Methods mRMR and PFI

Universidade Estadual Paulista (UNESP); College of Technology (2020-01-01)

Select from the best features in a complex dataset that is a critical task for machine learning algorithms. This work presents a comparative analysis between two resource selection techniques: Minimum Redundancy Maximum ...

Supervised variational relevance learning, an analytic geometric feature selection with applications to omic datasets

Universidade de São Paulo (USP); Universidade Estadual Paulista (Unesp) (Ieee Computer Soc, 2015-05-01)

We introduce Supervised Variational Relevance Learning (Suvrel), a variational method to determine metric tensors to define distance based similarity in pattern classification, inspired in relevance learning. The variational ...

Learning the Phonopragmatic Features of Anger in Spanish as a Foreign LanguageLearning the Phonopragmatic Features of Anger in Spanish as a Foreign Language

Carbajal-Carrera, B.; Hernandez, D. M.; Ramos Martín, Dania (2020)

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Hybridizing Feature Selection and Feature Learning Approaches in QSAR Modeling for Drug Discovery

Towards vegetation species discrimination by using data-driven descriptors

Towards vegetation species discrimination by using data-driven descriptors

Machine Learning for Web Intrusion Detection: A Comparative Analysis of Feature Selection Methods mRMR and PFI

Supervised variational relevance learning, an analytic geometric feature selection with applications to omic datasets

Learning the Phonopragmatic Features of Anger in Spanish as a Foreign LanguageLearning the Phonopragmatic Features of Anger in Spanish as a Foreign Language

Supervised variational relevance learning, an analytic geometric feature selection with applications to omic datasets

Supervised variational relevance learning, an analytic geometric feature selection with applications to omic datasets

A hybrid wrapper/filter approach for feature subset selection

Study on Machine Learning Techniques for Botnet Detection

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Hybridizing Feature Selection and Feature Learning Approaches in QSAR Modeling for Drug Discovery

Towards vegetation species discrimination by using data-driven descriptors

Towards vegetation species discrimination by using data-driven descriptors

Machine Learning for Web Intrusion Detection: A Comparative Analysis of Feature Selection Methods mRMR and PFI

Supervised variational relevance learning, an analytic geometric feature selection with applications to omic datasets

Learning the Phonopragmatic Features of Anger in Spanish as a Foreign LanguageLearning the Phonopragmatic Features of Anger in Spanish as a Foreign Language

Supervised variational relevance learning, an analytic geometric feature selection with applications to omic datasets

Supervised variational relevance learning, an analytic geometric feature selection with applications to omic datasets

A hybrid wrapper/filter approach for feature subset selection

Study on Machine Learning Techniques for Botnet Detection