Rafael Gomes Mantovani

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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, Department of Computer Science, Federal University of São CarlosVerified email at ufscar.br
Edesio AlcobaçaPhD candidate, Universidade de São PauloVerified email at usp.br
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de
Tomas HorvathELTE Eötvös Loránd University, Budapest, HungaryVerified email at inf.elte.hu
Saulo Martiello MasteliniPh.D., Universidade de São PauloVerified email at usp.br
Gabriel Jonas AguiarPhD Candidate at Virginia Commonwealth UniversityVerified email at vcu.edu
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
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
Giuseppe CasalicchioPostdoctoral Researcher, LMU Munich, Munich Center for Machine LearningVerified email at campus.lmu.de
Matthias FeurerStatistical Learning and Data Science, Department of Statistics, LMU Munich & Munich Center forVerified email at stat.uni-muenchen.de
José Luis Seixas JuniorPhD student, Eötvös Loránd UniversityVerified email at inf.elte.hu
Emerson Cabrera ParaisoProfessor at Graduate Program in Informatics - Pontifícia Universidade Católica do Paraná - BrazilVerified email at ppgia.pucpr.br
Alex Marino Gonçalves de AlmeidaProfessor, Fatec OurinhosVerified email at fatecourinhos.edu.br
Ana Maria BridiProfessor de zootecnia, Universidade Estadual de LondrinaVerified email at uel.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	116	2015
Openml benchmarking suites B Bischl, G Casalicchio, M Feurer, P Gijsbers, F Hutter, M Lang, ... arXiv preprint arXiv:1708.03731, 2017	110	2017
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	97	2016
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	73	2019
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	64	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	51	2019
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	49	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	40	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	36	2018
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	27	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	26	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	21	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	19	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 Intelligent Systems Design and Applications: 16th International Conference …, 2017	15	2017
De Carvalho ACPLF,“ RG Mantovani, ALD Rossi, E Alcobaça, J Vanschoren A meta-learning recommender system for hyperparameter tuning: Predicting …, 2019	13	2019
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	11	2018
Edesio Alcobaca, Joaquin Vanschoren, and Andre 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	10	2019
Learning abstract task representations MM Meskhi, A Rivolli, RG Mantovani, R Vilalta AAAI Workshop on Meta-Learning and MetaDL Challenge, 127-137, 2021	8	2021
Feature analysis to league of legends victory prediction on the picks and bans phase LM Costa, RG Mantovani, FCM Souza, G Xexeo 2021 IEEE Conference on Games (CoG), 01-05, 2021	6	2021

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