フォロー
Rafael Gomes Mantovani
Rafael Gomes Mantovani
Federal Technology University - Paraná, campus of Apucarana
確認したメール アドレス: utfpr.edu.br
タイトル
引用先
引用先
年
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
1892015
Openml benchmarking suites
B Bischl, G Casalicchio, M Feurer, P Gijsbers, F Hutter, M Lang, ...
arXiv preprint arXiv:1708.03731, 2017
1552017
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
1482016
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
1192019
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
94*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
922015
OpenML benchmarking suites and the OpenML100
B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ...
stat 1050, 11, 2017
862017
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
642018
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
492018
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
472019
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
462016
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
242015
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
232015
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
222016
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
182016
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
172018
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
162021
Learning abstract task representations
MM Meskhi, A Rivolli, RG Mantovani, R Vilalta
AAAI Workshop on Meta-Learning and MetaDL Challenge, 127-137, 2021
112021
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
112020
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