Rafael Gomes Mantovani

Citado por

	Todos	Desde 2020
Citações	1462	1281
Índice h	17	15
Índice i10	24	23

340

170

255

201620172018201920202021202220232024202515 24 43 83 149 206 246 296 335 48

Acesso público

Ver tudo

6 artigos

2 artigos

disponível

não disponível

Com base em autorizações de financiamento

Coautores

André Carlos Ponce de Leon Ferreira...Artificial Intelligence Professor, University of São PauloEmail confirmado em icmc.usp.br
Sylvio Barbon JuniorUniversity of Trieste, Department of Engineering and ArchitectureEmail confirmado em dia.units.it
Joaquin VanschorenEindhoven University of TechnologyEmail confirmado em tue.nl
Ricardo CerriAssistant Professor, Institute of Mathematics and Computer Science, University of São PauloEmail confirmado em icmc.usp.br
Andre Luis Debiaso RossiUniversidade Estadual Paulista (UNESP)Email confirmado em unesp.br
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichEmail confirmado em stat.uni-muenchen.de
Tomas HorvathEdinburgh Napier UniversityEmail confirmado em napier.ac.uk
Edesio AlcobaçaPhD candidate, Universidade de São PauloEmail confirmado em usp.br
Saulo Martiello MasteliniPh.D., Universidade de São PauloEmail confirmado em alumni.usp.br
Giuseppe CasalicchioSenior Lecturer and Researcher, LMU Munich, Munich Center for Machine LearningEmail confirmado em campus.lmu.de
Gabriel F. C. CamposComputer Science, State University of LondrinaEmail confirmado em uel.br
Francisco Carlos M. SouzaUniversidade Tecnológica Federal do ParanáEmail confirmado em icmc.usp.br
Gabriel Jonas AguiarPh.D. Candidate at Virginia Commonwealth UniversityEmail confirmado em vcu.edu
Michel LangTU Dortmund; LMU MunichEmail confirmado em statistik.tu-dortmund.de
Jan N. van RijnLeiden UniversityEmail confirmado em liacs.leidenuniv.nl
Frank HutterELLIS Institute Tübingen & Professor, University of Freiburg, GermanyEmail confirmado em cs.uni-freiburg.de
Matthias FeurerLMU MunichEmail confirmado em stat.uni-muenchen.de
José Luis Seixas JuniorPhD student, Eötvös Loránd UniversityEmail confirmado em inf.elte.hu
Leonimer Flávio de MeloProfessor Dr. de Engenharia Elétrica, Universidade Estadual de LondrinaEmail confirmado em uel.br
Douglas Fernandes BarbinUniversity of CampinasEmail confirmado em unicamp.br

Seguir

Rafael Gomes Mantovani

Federal Technology University - Paraná, campus of Apucarana

Email confirmado em utfpr.edu.br

Machine Learning Hyperparameter optimization Meta-learning Recommending Systems


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	197	2015
Openml benchmarking suites B Bischl, G Casalicchio, M Feurer, P Gijsbers, F Hutter, M Lang, ... arXiv preprint arXiv:1708.03731, 2017	166	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	152	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	119	2019
A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers RG Mantovani, ... Information Sciences 501, 193-221, 2019	104*	2019
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms R Gomes Mantovani, T Horvath, ALD Rossi, R Cerri, S Barbon Junior, ... Data Mining and Knowledge Discovery 38, 1364-1416, 2024	101*	2024
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	93	2015
OpenML benchmarking suites and the OpenML100 B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ... stat 1050 (11), 97, 2017	87	2017
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	63	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	48	2019
Machine learning applied to near‐infrared spectra for chicken meat classification S Barbon Jr, APA Costa Barbon, RG Mantovani, DF Barbin Journal of Spectroscopy 2018 (1), 8949741, 2018	48	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	45	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	24	2015
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	23	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	22	2016
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	17	2021
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	17	2018
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	17	2016
Hyper-parameter initialization of classification algorithms using dynamic time warping: A perspective on PCA meta-features T Horváth, RG Mantovani, AC de Carvalho Applied Soft Computing 134, 109969, 2023	12	2023
Rethinking default values: A low cost and efficient strategy to define hyperparameters RG Mantovani, ALD Rossi, E Alcobaça, JC Gertrudes, SB Junior, ... arXiv preprint arXiv:2008.00025, 2020	12	2020

O sistema não pode efectuar a operação agora. Tente mais tarde.

Artigos 1–20

Citações por ano

Citações duplicadas

Citações unidas

Adicionar coautoresCoautores

Seguir

Citado por

Coautores