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ORCIDRafael Gomes Mantovani
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2020 – today
- 2024
[j10]Rafael Gomes Mantovani, Tomás Horváth, André L. D. Rossi, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren
, André C. P. L. F. de Carvalho:
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms. Data Min. Knowl. Discov. 38(3): 1364-1416 (2024)- [c18]Gilmar Santos, Alinne Souza, Rafael G. Mantovani, Robinson Crusoé Da Cruz, Thiago Damasceno Cordeiro, Francisco Carlos M. Souza:
An Exploratory Analysis on Gender-Related Dropout Students in Distance Learning Higher Education using Machine Learning. SBSI 2024: 51:1-51:10 - 2023
- [j9]Aline Marques Del Valle, Rafael Gomes Mantovani, Ricardo Cerri:
A systematic literature review on AutoML for multi-target learning tasks. Artif. Intell. Rev. 56(S2): 2013-2052 (2023) - [j8]Tomás Horváth, Rafael G. Mantovani, André C. P. L. F. de Carvalho:
Hyper-parameter initialization of classification algorithms using dynamic time warping: A perspective on PCA meta-features. Appl. Soft Comput. 134: 109969 (2023) - [j7]Edgar de Souza Vismara, Lilian de Souza Vismara, Jose Luis Seixas, Francisco Carlos Monteiro Souza, Rafael Gomes Mantovani:
Classification of the growth level of fungal colonies in solid medium: a machine learning approach. Expert Syst. Appl. 232: 120872 (2023) - [c17]Aline Marques Del Valle, Rafael Gomes Mantovani, Ricardo Cerri:
AutoMMLC: An Automated and Multi-objective Method for Multi-label Classification. BRACIS (2) 2023: 291-306 - 2021
- [j6]Márcio P. Basgalupp, Rodrigo C. Barros, Alex Guimarães Cardoso de Sá, Gisele L. Pappa, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho, Alex Alves Freitas:
An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms. Evol. Intell. 14(4): 1895-1914 (2021) - [c16]Mikhail M. Meskhi, Adriano Rivolli, Rafael G. Mantovani, Ricardo Vilalta:
Learning Abstract Task Representations. MetaDL@AAAI 2021: 127-137 - [c15]Lincoln Magalhães Costa, Rafael Gomes Mantovani, Francisco Carlos Monteiro Souza, Geraldo Xexéo:
Feature Analysis to League of Legends Victory Prediction on the Picks and Bans Phase. CoG 2021: 1-5 - [c14]Tomás Horváth, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho:
Time-Series in Hyper-parameter Initialization of Machine Learning Techniques. IDEAL 2021: 246-258 - [c13]Brendon Gouveia Cambuí, Rafael Gomes Mantovani, Ricardo Cerri:
Exploring Autoencoders for Feature Extraction in Multi-Target Classification. IJCNN 2021: 1-8 - [c12]Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Pieter Gijsbers, Frank Hutter, Michel Lang, Rafael Gomes Mantovani, Jan N. van Rijn, Joaquin Vanschoren:
OpenML Benchmarking Suites. NeurIPS Datasets and Benchmarks 2021 - [i8]Mikhail M. Meskhi, Adriano Rivolli, Rafael G. Mantovani, Ricardo Vilalta:
Learning Abstract Task Representations. CoRR abs/2101.07852 (2021) - 2020
- [i7]Rafael Gomes Mantovani, André Luis Debiaso Rossi, Edesio Alcobaça, Jadson Castro Gertrudes, Sylvio Barbon Junior, André Carlos Ponce de Leon Ferreira de Carvalho:
Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters. CoRR abs/2008.00025 (2020) - [i6]Márcio P. Basgalupp, Rodrigo C. Barros, Alex Guimarães Cardoso de Sá, Gisele L. Pappa, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho, Alex Alves Freitas:
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version). CoRR abs/2009.07430 (2020)
2010 – 2019
- 2019
- [j5]Gabriel Fillipe Centini Campos, Saulo Martiello Mastelini, Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Leonimer Flavio de Melo, Sylvio Barbon Junior:
Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization. EURASIP J. Image Video Process. 2019: 59 (2019) - [j4]Rafael Gomes Mantovani, André L. D. Rossi, Edesio Alcobaça, Joaquin Vanschoren, André C. P. L. F. de Carvalho:
A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers. Inf. Sci. 501: 193-221 (2019) - [j3]Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Gabriel F. C. Campos, Sylvio Barbon Junior:
A meta-learning approach for selecting image segmentation algorithm. Pattern Recognit. Lett. 128: 480-487 (2019) - [c11]Gabriel Jonas Aguiar, Everton José Santana, Saulo Martiello Mastelini, Rafael Gomes Mantovani, Sylvio Barbon Jr.:
Towards Meta-Learning for Multi-Target Regression Problems. BRACIS 2019: 377-382 - [i5]Rafael Gomes Mantovani, André Luis Debiaso Rossi, Edesio Alcobaça, Joaquin Vanschoren, André Carlos Ponce de Leon Ferreira de Carvalho:
A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers. CoRR abs/1906.01684 (2019) - [i4]Gabriel Jonas Aguiar, Everton José Santana, Saulo Martiello Mastelini, Rafael Gomes Mantovani, Sylvio Barbon Jr.:
Towards meta-learning for multi-target regression problems. CoRR abs/1907.11277 (2019) - [i3]Gean Trindade Pereira, Moisés Rocha dos Santos, Edesio Alcobaça, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho:
Transfer Learning for Algorithm Recommendation. CoRR abs/1910.07012 (2019) - 2018
- [j2]Alex Marino Gonçalves de Almeida, Ricardo Cerri, Emerson Cabrera Paraiso, Rafael Gomes Mantovani, Sylvio Barbon Junior:
Applying multi-label techniques in emotion identification of short texts. Neurocomputing 320: 35-46 (2018) - [c10]Edesio Alcobaça, Rafael Gomes Mantovani, André L. D. Rossi, André C. P. L. F. de Carvalho:
Dimensionality Reduction for the Algorithm Recommendation Problem. BRACIS 2018: 318-323 - [c9]Ricardo Cerri, Rafael Gomes Mantovani, Márcio P. Basgalupp, André C. P. L. F. de Carvalho:
Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction. IJCNN 2018: 1-7 - [i2]Rafael Gomes Mantovani, Tomás Horváth, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren, André Carlos Ponce de Leon Ferreira de Carvalho:
An empirical study on hyperparameter tuning of decision trees. CoRR abs/1812.02207 (2018) - 2017
- [c8]Iuri Bonna M. de Abreu, Rafael Gomes Mantovani, Ricardo Cerri:
Incorporating instance correlations in multi-label classification via label-space. IJCNN 2017: 581-588 - [i1]Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Frank Hutter, Michel Lang, Rafael Gomes Mantovani, Jan N. van Rijn, Joaquin Vanschoren:
OpenML Benchmarking Suites and the OpenML100. CoRR abs/1708.03731 (2017) - 2016
- [j1]Ana Paula A. C. Barbon, Sylvio Barbon Junior, Rafael Gomes Mantovani, Estefânia Mayumi Fuzyi, Louise Manha Peres, Ana Maria Bridi:
Storage time prediction of pork by Computational Intelligence. Comput. Electron. Agric. 127: 368-375 (2016) - [c7]Rafael Gomes Mantovani, Tomás Horváth, Ricardo Cerri, Joaquin Vanschoren, André C. P. L. F. de Carvalho:
Hyper-Parameter Tuning of a Decision Tree Induction Algorithm. BRACIS 2016: 37-42 - [c6]Tomás Horváth, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho:
Effects of Random Sampling on SVM Hyper-parameter Tuning. ISDA 2016: 268-278 - [c5]Gabriel F. C. Campos, Sylvio Barbon, Rafael Gomes Mantovani:
A Meta-Learning Approach for Recommendation of Image Segmentation Algorithms. SIBGRAPI 2016: 370-377 - 2015
- [c4]Jose Luis Seixas, Sylvio Barbon, Rafael Gomes Mantovani:
Pattern Recognition of Lower Member Skin Ulcers in Medical Images with Machine Learning Algorithms. CBMS 2015: 50-53 - [c3]Rafael Gomes Mantovani, André Luis Debiaso Rossi, Joaquin Vanschoren, Bernd Bischl, André C. P. L. F. de Carvalho:
To tune or not to tune: Recommending when to adjust SVM hyper-parameters via meta-learning. IJCNN 2015: 1-8 - [c2]Rafael Gomes Mantovani, André Luis Debiaso Rossi, Joaquin Vanschoren, Bernd Bischl, André C. P. L. F. de Carvalho:
Effectiveness of Random Search in SVM hyper-parameter tuning. IJCNN 2015: 1-8 - [c1]Rafael Gomes Mantovani, André L. D. Rossi, Joaquin Vanschoren, André C. P. L. F. de Carvalho:
Meta-learning Recommendation of Default Hyper-parameter Values for SVMs in Classification Tasks. MetaSel@PKDD/ECML 2015: 80-92
Coauthor Index
aka: André Carlos Ponce de Leon Ferreira de Carvalho
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last updated on 2024-12-26 01:52 CET by the dblp team
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