Rafael Gomes Mantovani

According to our database1, Rafael Gomes Mantovani authored at least 19 papers between 2015 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


A meta-learning approach for selecting image segmentation algorithm.
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 and Video Processing, 2019

Transfer Learning for Algorithm Recommendation.
CoRR, 2019

Towards Meta-Learning for Multi-Target Regression Problems.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Applying multi-label techniques in emotion identification of short texts.
Neurocomputing, 2018

An empirical study on hyperparameter tuning of decision trees.
CoRR, 2018

Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Dimensionality Reduction for the Algorithm Recommendation Problem.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

OpenML Benchmarking Suites and the OpenML100.
CoRR, 2017

Incorporating instance correlations in multi-label classification via label-space.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Storage time prediction of pork by Computational Intelligence.
Comput. Electron. Agric., 2016

A Meta-Learning Approach for Recommendation of Image Segmentation Algorithms.
Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

Effects of Random Sampling on SVM Hyper-parameter Tuning.
Proceedings of the Intelligent Systems Design and Applications, 2016

Hyper-Parameter Tuning of a Decision Tree Induction Algorithm.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

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

Effectiveness of Random Search in SVM hyper-parameter tuning.
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