OpenML benchmarking suites and the OpenML100 B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ... stat 1050, 11, 2017 | 45* | 2017 |
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 | 45 | 2015 |
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 | 42 | 2016 |
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 | 35 | 2015 |
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 | 25 | 2018 |
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 | 25 | 2016 |
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 | 19 | 2015 |
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), 1-18, 2019 | 15 | 2019 |
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 | 15 | 2016 |
A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers RG Mantovani, ALD Rossi, E Alcobaça, J Vanschoren, AC de Carvalho Information Sciences 501, 193-221, 2019 | 14 | 2019 |
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 | 11 | 2015 |
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 | 10 | 2018 |
A meta-learning approach for selecting image segmentation algorithm GJ Aguiar, RG Mantovani, SM Mastelini, AC de Carvalho, GFC Campos, ... Pattern Recognition Letters 128, 480-487, 2019 | 8 | 2019 |
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 | 8 | 2016 |
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 | 5 | 2018 |
Openml benchmarking suites, 2017 B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ... URL https://arxiv. org/abs/1708.03731, 0 | 5 | |
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 | 4 | 2018 |
Use of meta-learning for hyperparameter tuning of classification problems R Mantovani Ph. D. thesis, University of Sao Carlos, Brazil, 2018 | 3 | 2018 |
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 | 3 | 2016 |
Incorporating instance correlations in multi-label classification via label-space IBM de Abreu, RG Mantovani, R Cerri 2017 International Joint Conference on Neural Networks (IJCNN), 581-588, 2017 | 2 | 2017 |