Rafael Gomes Mantovani
TitleCited byYear
To tune or not to tune: recommending when to adjust SVM hyper-parameters via meta-learning
RG Mantovani, ALD Rossi, J Vanschoren, B Bischl, AC Carvalho
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
212015
Storage time prediction of pork by computational intelligence
APAC Barbon, S Barbon Jr, RG Mantovani, EM Fuzyi, LM Peres, AM Bridi
Computers and Electronics in Agriculture 127, 368-375, 2016
202016
OpenML benchmarking suites and the OpenML100
B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ...
arXiv preprint arXiv:1708.03731, 2017
182017
Hyper-parameter tuning of a decision tree induction algorithm
RG Mantovani, T Horváth, R Cerri, J Vanschoren, AC de Carvalho
2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 37-42, 2016
162016
Effectiveness of random search in SVM hyper-parameter tuning
RG Mantovani, ALD Rossi, J Vanschoren, B Bischl, AC De Carvalho
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
152015
A meta-learning approach for recommendation of image segmentation algorithms
GFC Campos, S Barbon, RG Mantovani
2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2016
82016
Pattern recognition of lower member skin ulcers in medical images with machine learning algorithms
JL Seixas, S Barbon, RG Mantovani
2015 IEEE 28th International Symposium on Computer-Based Medical Systems, 50-53, 2015
82015
Meta-learning Recommendation of Default Hyper-parameter Values for SVMs in Classification Tasks.
RG Mantovani, ALD Rossi, J Vanschoren, AC de Carvalho
MetaSel@ PKDD/ECML, 80-92, 2015
72015
Effects of random sampling on svm hyper-parameter tuning
T Horváth, RG Mantovani, AC de Carvalho
International Conference on Intelligent Systems Design and Applications, 268-278, 2016
62016
Applying multi-label techniques in emotion identification of short texts
AMG Almeida, R Cerri, EC Paraiso, RG Mantovani, SB Junior
Neurocomputing 320, 35-46, 2018
52018
Machine Learning Applied to Near-Infrared Spectra for Chicken Meat Classification
S Barbon, APA Costa Barbon, RG Mantovani, DF Barbin
Journal of Spectroscopy 2018, 2018
42018
An empirical study on hyperparameter tuning of decision trees
RG Mantovani, T Horváth, R Cerri, SB Junior, J Vanschoren, ...
arXiv preprint arXiv:1812.02207, 2018
22018
Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction
R Cerri, RG Mantovani, MP Basgalupp, AC de Carvalho
2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018
22018
Use of meta-learning for hyperparameter tuning of classification problems
R Mantovani
Ph. D. thesis, University of Sao Carlos, Brazil, 2018
22018
Decision trees for hierarchical classification of transposable elements
B Zamith Santos, R Gomes Mantovani, L Schietgat, C Vens, R Cerri
Proceedings of the 25th Belgian-Dutch Machine Learning Conference (Benelearn …, 2016
22016
Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization
GFC Campos, SM Mastelini, GJ Aguiar, RG Mantovani, LF de Melo, ...
EURASIP Journal on Image and Video Processing 2019 (1), 59, 2019
12019
Dimensionality Reduction for the Algorithm Recommendation Problem
E Alcobaça, RG Mantovani, ALD Rossi, AC de Carvalho
2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 318-323, 2018
12018
Comparison of SVM and RepTree for Classification of Poultry Quality
S Barbon Jr, APAC Barbon, RG Mantovani, DF Barbin
1
Transfer Learning for Algorithm Recommendation
GT Pereira, M Santos, E Alcobaça, R Mantovani, A Carvalho
arXiv preprint arXiv:1910.07012, 2019
2019
Towards meta-learning for multi-target regression problems
GJ Aguiar, EJ Santana, SM Mastelini, RG Mantovani, S Barbon Jr
arXiv preprint arXiv:1907.11277, 2019
2019
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Articles 1–20