Rafael Gomes Mantovani

33 papers B 6C 3Journal 17Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Novel applications of item response theory for analysing data set complexity and benchmark selection.
Mach. Learn.
João Luiz Junho Pereira, Alfredo Antonio Alencar Exposito de Queiroz, Telmo de Menezes e Silva Filho, Ana Carolina Lorena, Rafael Gomes Mantovani, Gisele Lobo Pappa, Ricardo Bastos Cavalcante Prudêncio
2024 J jnl
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms.
Data Min. Knowl. Discov.
Rafael Gomes Mantovani, Tomás Horváth, André L. D. Rossi, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren, André C. P. L. F. de Carvalho
2023 J jnl
A systematic literature review on AutoML for multi-target learning tasks.
Artif. Intell. Rev.
Aline Marques Del Valle, Rafael Gomes Mantovani, Ricardo Cerri
2023 — conf
AutoMMLC: An Automated and Multi-objective Method for Multi-label Classification.
BRACIS (2)
Aline Marques Del Valle, Rafael Gomes Mantovani, Ricardo Cerri
2023 J jnl
Classification of the growth level of fungal colonies in solid medium: a machine learning approach.
Expert Syst. Appl.
Edgar de Souza Vismara, Lilian de Souza Vismara, Jose Luis Seixas, Francisco Carlos Monteiro Souza, Rafael Gomes Mantovani
2021 J jnl
An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms.
Evol. Intell.
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
2021 B conf
Exploring Autoencoders for Feature Extraction in Multi-Target Classification.
IJCNN
Brendon Gouveia Cambuí, Rafael Gomes Mantovani, Ricardo Cerri
2021 C conf
Feature Analysis to League of Legends Victory Prediction on the Picks and Bans Phase.
CoG
Lincoln Magalhães Costa, Rafael Gomes Mantovani, Francisco Carlos Monteiro Souza, Geraldo Xexéo
2021 — conf
OpenML Benchmarking Suites.
NeurIPS Datasets and Benchmarks
Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Pieter Gijsbers, Frank Hutter, Michel Lang, Rafael Gomes Mantovani, Jan N. van Rijn, Joaquin Vanschoren
2021 C conf
Time-Series in Hyper-parameter Initialization of Machine Learning Techniques.
IDEAL
Tomás Horváth, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho
2020 J jnl
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version).
CoRR
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
2020 J jnl
Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters.
CoRR
Rafael Gomes Mantovani, André Luis Debiaso Rossi, Edesio Alcobaça, Jadson Castro Gertrudes, Sylvio Barbon Junior, André Carlos Ponce de Leon Ferreira de Carvalho
2019 J jnl
A meta-learning approach for selecting image segmentation algorithm.
Pattern Recognit. Lett.
Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Gabriel F. C. Campos, Sylvio Barbon Junior
2019 J jnl
A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers.
Inf. Sci.
Rafael Gomes Mantovani, André L. D. Rossi, Edesio Alcobaça, Joaquin Vanschoren, André C. P. L. F. de Carvalho
2019 J jnl
A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers.
CoRR
Rafael Gomes Mantovani, André Luis Debiaso Rossi, Edesio Alcobaça, Joaquin Vanschoren, André Carlos Ponce de Leon Ferreira de Carvalho
2019 J jnl
Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization.
EURASIP J. Image Video Process.
Gabriel Fillipe Centini Campos, Saulo Martiello Mastelini, Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Leonimer Flavio de Melo, Sylvio Barbon Junior
2019 — conf
Towards Meta-Learning for Multi-Target Regression Problems.
BRACIS
Gabriel Jonas Aguiar, Everton José Santana, Saulo Martiello Mastelini, Rafael Gomes Mantovani, Sylvio Barbon Jr.
2019 J jnl
Towards meta-learning for multi-target regression problems.
CoRR
Gabriel Jonas Aguiar, Everton José Santana, Saulo Martiello Mastelini, Rafael Gomes Mantovani, Sylvio Barbon Jr.
2019 J jnl
Transfer Learning for Algorithm Recommendation.
CoRR
Gean Trindade Pereira, Moisés Rocha dos Santos, Edesio Alcobaça, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho
2018 J jnl
An empirical study on hyperparameter tuning of decision trees.
CoRR
Rafael Gomes Mantovani, Tomás Horváth, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren, André Carlos Ponce de Leon Ferreira de Carvalho
2018 J jnl
Applying multi-label techniques in emotion identification of short texts.
Neurocomputing
Alex Marino Gonçalves de Almeida, Ricardo Cerri, Emerson Cabrera Paraiso, Rafael Gomes Mantovani, Sylvio Barbon Junior
2018 — conf
Dimensionality Reduction for the Algorithm Recommendation Problem.
BRACIS
Edesio Alcobaça, Rafael Gomes Mantovani, André L. D. Rossi, André C. P. L. F. de Carvalho
2018 B conf
Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction.
IJCNN
Ricardo Cerri, Rafael Gomes Mantovani, Márcio P. Basgalupp, André C. P. L. F. de Carvalho
2017 B conf
Incorporating instance correlations in multi-label classification via label-space.
IJCNN
Iuri Bonna M. de Abreu, Rafael Gomes Mantovani, Ricardo Cerri
2017 J jnl
OpenML Benchmarking Suites and the OpenML100.
CoRR
Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Frank Hutter, Michel Lang, Rafael Gomes Mantovani, Jan N. van Rijn, Joaquin Vanschoren
2016 — conf
A Meta-Learning Approach for Recommendation of Image Segmentation Algorithms.
SIBGRAPI
Gabriel F. C. Campos, Sylvio Barbon, Rafael Gomes Mantovani
2016 C conf
Effects of Random Sampling on SVM Hyper-parameter Tuning.
ISDA
Tomás Horváth, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho
2016 — conf
Hyper-Parameter Tuning of a Decision Tree Induction Algorithm.
BRACIS
Rafael Gomes Mantovani, Tomás Horváth, Ricardo Cerri, Joaquin Vanschoren, André C. P. L. F. de Carvalho
2016 J jnl
Storage time prediction of pork by Computational Intelligence.
Comput. Electron. Agric.
Ana Paula A. C. Barbon, Sylvio Barbon Junior, Rafael Gomes Mantovani, Estefânia Mayumi Fuzyi, Louise Manha Peres, Ana Maria Bridi
2015 B conf
Effectiveness of Random Search in SVM hyper-parameter tuning.
IJCNN
Rafael Gomes Mantovani, André Luis Debiaso Rossi, Joaquin Vanschoren, Bernd Bischl, André C. P. L. F. de Carvalho
2015 — conf
Meta-learning Recommendation of Default Hyper-parameter Values for SVMs in Classification Tasks.
MetaSel@PKDD/ECML
Rafael Gomes Mantovani, André L. D. Rossi, Joaquin Vanschoren, André C. P. L. F. de Carvalho
2015 B conf
Pattern Recognition of Lower Member Skin Ulcers in Medical Images with Machine Learning Algorithms.
CBMS
Jose Luis Seixas, Sylvio Barbon, Rafael Gomes Mantovani
2015 B conf
To tune or not to tune: Recommending when to adjust SVM hyper-parameters via meta-learning.
IJCNN
Rafael Gomes Mantovani, André Luis Debiaso Rossi, Joaquin Vanschoren, Bernd Bischl, André C. P. L. F. de Carvalho