Carlos Silla
Carlos Silla
Professor of Machine Learning at Halmstad University (Sweden) & Researcher at PPGIa/PUCPR (Brazil)
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A survey of hierarchical classification across different application domains
CN Silla, AA Freitas
Data mining and knowledge discovery 22, 31-72, 2011
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
RM Pereira, D Bertolini, LO Teixeira, CN Silla Jr, YMG Costa
Computer methods and programs in biomedicine 194, 105532, 2020
An evaluation of convolutional neural networks for music classification using spectrograms
YMG Costa, LS Oliveira, CN Silla Jr
Applied soft computing 52, 28-38, 2017
The Latin Music Database.
CN Silla Jr, AL Koerich, CAA Kaestner
ISMIR, 451-456, 2008
A machine learning approach to automatic music genre classification
CN Silla, AL Koerich, CAA Kaestner
Journal of the Brazilian Computer Society 14, 7-18, 2008
MLTL: A multi-label approach for the Tomek Link undersampling algorithm
RM Pereira, YMG Costa, CN Silla Jr
Neurocomputing 383, 95-105, 2020
Automatic music genre classification using ensemble of classifiers
CN Silla Jr, CAA Kaestner, AL Koerich
2007 IEEE International Conference on Systems, Man and Cybernetics, 1687-1692, 2007
Combining visual and acoustic features for audio classification tasks
L Nanni, YMG Costa, DR Lucio, CN Silla Jr, S Brahnam
Pattern Recognition Letters 88, 49-56, 2017
On the suitability of state-of-the-art music information retrieval methods for analyzing, categorizing and accessing non-western and ethnic music collections
T Lidy, CN Silla Jr, O Cornelis, F Gouyon, A Rauber, CAA Kaestner, ...
Signal Processing 90 (4), 1032-1048, 2010
Automatic bird species identification for large number of species
MT Lopes, LL Gioppo, TT Higushi, CAA Kaestner, CN Silla Jr, AL Koerich
2011 IEEE International Symposium on Multimedia, 117-122, 2011
A global-model naive bayes approach to the hierarchical prediction of protein functions
CN Silla Jr, AA Freitas
2009 Ninth IEEE international conference on data mining, 992-997, 2009
Ensemble of convolutional neural networks to improve animal audio classification
L Nanni, YMG Costa, RL Aguiar, RB Mangolin, S Brahnam, CN Silla
EURASIP Journal on Audio, Speech, and Music Processing 2020, 1-14, 2020
Novel top-down approaches for hierarchical classification and their application to automatic music genre classification
CN Silla, AA Freitas
2009 IEEE International Conference on Systems, Man and Cybernetics, 3499-3504, 2009
Automatic text summarization with genetic algorithm-based attribute selection
CN Silla Jr, GL Pappa, AA Freitas, CAA Kaestner
Ibero-American Conference on Artificial Intelligence, 305-314, 2004
Feature Selection in Automatic Music Genre Classification
CN Silla Jr., AL Koerich, CAA Kaestner
2008 Tenth IEEE International Symposium on Multimedia, 39--44, 2008
Exploring data augmentation to improve music genre classification with convnets
RL Aguiar, YMG Costa, CN Silla
2018 international joint conference on neural networks (IJCNN), 1-8, 2018
Feature set comparison for automatic bird species identification
MT Lopes, AL Koerich, CN Silla, CAA Kaestner
2011 IEEE International Conference on Systems, Man, and Cybernetics, 965-970, 2011
Ensemble of deep learning, visual and acoustic features for music genre classification
L Nanni, YMG Costa, RL Aguiar, CN Silla Jr, S Brahnam
Journal of New Music Research 47 (4), 383-397, 2018
A comparison of automatic summarizers of texts in Brazilian Portuguese
LHM Rino, TAS Pardo, C Nascimento Silla Jr, CAA Kaestner, M Pombo
Brazilian Symposium on Artificial Intelligence, 235-244, 2004
An analysis of sentence boundary detection systems for English and Portuguese documents
CN Silla Jr, CAA Kaestner
International Conference on Intelligent Text Processing and Computational …, 2004
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