Rafael Gomes Mantovani
Orcid: 0000-0001-9564-106X
According to our database1,
Rafael Gomes Mantovani
authored at least 34 papers
between 2015 and 2024.
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Bibliography
2024
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms.
Data Min. Knowl. Discov., May, 2024
An Exploratory Analysis on Gender-Related Dropout Students in Distance Learning Higher Education using Machine Learning.
Proceedings of the 20th Brazilian Symposium on Information Systems, 2024
Proceedings of the 23rd Brazilian Symposium on Games and Digital Entertainment, 2024
2023
Classification of the growth level of fungal colonies in solid medium: a machine learning approach.
Expert Syst. Appl., December, 2023
Artif. Intell. Rev., November, 2023
Hyper-parameter initialization of classification algorithms using dynamic time warping: A perspective on PCA meta-features.
Appl. Soft Comput., February, 2023
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023
2021
An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms.
Evol. Intell., 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021
Feature Analysis to League of Legends Victory Prediction on the Picks and Bans Phase.
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021
Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021
2020
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version).
CoRR, 2020
Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters.
CoRR, 2020
2019
Pattern Recognit. Lett., 2019
A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers.
Inf. Sci., 2019
Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization.
EURASIP J. Image Video Process., 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2018
Neurocomputing, 2018
Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Comput. Electron. Agric., 2016
Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016
Proceedings of the Intelligent Systems Design and Applications, 2016
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
2015
Meta-learning Recommendation of Default Hyper-parameter Values for SVMs in Classification Tasks.
Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
To tune or not to tune: Recommending when to adjust SVM hyper-parameters via meta-learning.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Pattern Recognition of Lower Member Skin Ulcers in Medical Images with Machine Learning Algorithms.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015