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Rodrigo C. Barros
Rodrigo C. Barros
Director of Research at Teia Labs, Associate Professor at PUCRS
Geverifieerd e-mailadres voor pucrs.br
Titel
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Data stream clustering: A survey
JG JA Silva, ER Faria, RC Barros, ER Hruschka, AC De Carvalho
ACM Computing Surveys (CSUR) 46 (1), 13, 2013
551*2013
A Survey of Evolutionary Algorithms for Decision-Tree Induction
RC Barros, MP Basgalupp, A de Carvalho, AA Freitas
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and …, 2012
3492012
Hierarchical multi-label classification networks
J Wehrmann, R Cerri, R Barros
International conference on machine learning, 5075-5084, 2018
1762018
Hierarchical multi-label classification using local neural networks
R Cerri, RC Barros, AC De Carvalho
Journal of Computer and System Sciences 80 (1), 39-56, 2014
1212014
Automatic Design of Decision-Tree Induction Algorithms
RC Barros, ACPLF Carvalho, AA Freitas
Springer 1, 176, 2015
120*2015
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
CS Perone, P Ballester, RC Barros, J Cohen-Adad
NeuroImage 194, 1-11, 2019
1182019
A character-based convolutional neural network for language-agnostic Twitter sentiment analysis
J Wehrmann, W Becker, HEL Cagnini, RC Barros
2017 International Joint Conference on Neural Networks (IJCNN), 2384-2391, 2017
1152017
Movie genre classification with convolutional neural networks
GS Simões, J Wehrmann, RC Barros, DD Ruiz
2016 International Joint Conference on Neural Networks (IJCNN), 259-266, 2016
872016
Adult content detection in videos with convolutional and recurrent neural networks
J Wehrmann, GS Simões, RC Barros, VF Cavalcante
Neurocomputing 272, 432-438, 2018
852018
Reduction strategies for hierarchical multi-label classification in protein function prediction
R Cerri, RC Barros, AC PLF de Carvalho, Y Jin
BMC bioinformatics 17 (1), 1-24, 2016
742016
Movie genre classification: A multi-label approach based on convolutions through time
J Wehrmann, RC Barros
Applied Soft Computing 61, 973-982, 2017
642017
Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets
RC Barros, MP Basgalupp, AA Freitas, A de Carvalho
IEEE Transactions on Evolutionary Computation 18 (6), 873-892, 2014
592014
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification
EHP Pooch, PL Ballester, RC Barros
arXiv preprint arXiv:1909.01940, 2019
55*2019
Evolutionary model trees for handling continuous classes in machine learning
RC Barros, DD Ruiz, MP Basgalupp
Information Sciences 181 (5), 954-971, 2011
542011
A bottom-up oblique decision tree induction algorithm
RC Barros, R Cerri, PA Jaskowiak, A de Carvalho
11th International Conference on Intelligent Systems Design and Applications …, 2011
472011
Bidirectional retrieval made simple
J Wehrmann, RC Barros
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
402018
Legal-tree: a lexicographic multi-objective genetic algorithm for decision tree induction
MP Basgalupp, RC Barros, AC de Carvalho, AA Freitas, DD Ruiz
Proceedings of the 2009 ACM symposium on Applied Computing, 1085-1090, 2009
402009
Lexicographic multi-objective evolutionary induction of decision trees
MP Basgalupp, AC De Carvalho, RC Barros, DD Ruiz, AA Freitas
International Journal of Bio-Inspired Computation 1 (1-2), 105-117, 2009
392009
Machine learning and big data analytics in bipolar disorder: a position paper from the International Society for Bipolar Disorders Big Data Task Force
IC Passos, PL Ballester, RC Barros, D Librenza‐Garcia, B Mwangi, ...
Bipolar Disorders 21 (7), 582-594, 2019
382019
Software effort prediction: A hyper-heuristic decision-tree based approach
MP Basgalupp, RC Barros, TS da Silva, AC de Carvalho
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 1109-1116, 2013
372013
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Artikelen 1–20