Rafael Gomes Mantovani

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André Carlos Ponce de Leon Ferreira...Artificial Intelligence Professor, University of São PauloVerified email at icmc.usp.br
Sylvio Barbon JuniorUniversity of Trieste, Department of Engineering and ArchitectureVerified email at dia.units.it
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Andre Luis Debiaso RossiUniversidade Estadual Paulista (UNESP)Verified email at unesp.br
Ricardo CerriAssistant Professor, Institute of Mathematics and Computer Science, University of São PauloVerified email at icmc.usp.br
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de
Tomas HorvathEdinburgh Napier University, Pavol Jozef Šafárik UniversityVerified email at upjs.sk
Edesio AlcobaçaPhD candidate, Universidade de São PauloVerified email at usp.br
Saulo Martiello MasteliniPh.D., Universidade de São PauloVerified email at alumni.usp.br
Gabriel Jonas AguiarPh.D. Candidate at Virginia Commonwealth UniversityVerified email at vcu.edu
Giuseppe CasalicchioPostdoctoral Researcher, LMU Munich, Munich Center for Machine LearningVerified email at campus.lmu.de
Gabriel F. C. CamposComputer Science, State University of LondrinaVerified email at uel.br
Michel LangTU Dortmund; LMU MunichVerified email at statistik.tu-dortmund.de
Jan N. van RijnLeiden UniversityVerified email at liacs.leidenuniv.nl
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Leonimer Flávio de MeloProfessor Dr. de Engenharia Elétrica, Universidade Estadual de LondrinaVerified email at uel.br
Douglas Fernandes BarbinUniversity of CampinasVerified email at unicamp.br
José Luis Seixas JuniorPhD student, Eötvös Loránd UniversityVerified email at inf.elte.hu
Matthias FeurerLMU Munich & Munich Center for Machine LearningVerified email at stat.uni-muenchen.de
Emerson Cabrera ParaisoProfessor at Graduate Program in Informatics - Pontifícia Universidade Católica do Paraná - BrazilVerified email at ppgia.pucpr.br

Rafael Gomes Mantovani

Federal Technology University - Paraná, campus of Apucarana

Verified email at utfpr.edu.br

Machine Learning Hyperparameter optimization Meta-learning Recommending Systems


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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	157	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	126	2016
Openml benchmarking suites B Bischl, G Casalicchio, M Feurer, P Gijsbers, F Hutter, M Lang, ... arXiv preprint arXiv:1708.03731, 2017	99	2017
Machine learning hyperparameter selection for contrast limited adaptive histogram equalization GFC Campos, SM Mastelini, GJ Aguiar, RG Mantovani, LF Melo, ... EURASIP Journal on Image and Video Processing 2019, 1-18, 2019	95	2019
OpenML benchmarking suites and the OpenML100 B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ... stat 1050, 11, 2017	76	2017
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	76	2015
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	73	2019
Better Trees: An empirical study on hyperparameter tuning of classification decision tree induction algorithms RG Mantovani, T Horváth, ALD Rossi, R Cerri, SB Junior, J Vanschoren, ... arXiv preprint arXiv:1812.02207, 2018	61	2018
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	58	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	43	2016
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	41	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	39	2019
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	22	2015
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	21	2016
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	19	2015
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	18	2016
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	16	2018
de Carvalho ACPLF RG Mantovani, ALD Rossi, E Alcobaça, J Vanschoren A meta-learning recommender system for hyperparameter tuning: Predicting …, 2019	15	2019
Edesio Alcobaça, Joaquin Vanschoren, and André CPLF de Carvalho. A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves svm classifiers RG Mantovani, ALD Rossi Information Sciences 501, 193-221, 2019	13	2019
Feature analysis to league of legends victory prediction on the picks and bans phase LM Costa, RG Mantovani, FCM Souza, G Xexéo 2021 IEEE Conference on Games (CoG), 01-05, 2021	11	2021

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