| 2021 | IJCNN | Exploring Autoencoders for Feature Extraction in Multi-Target Classification. | Brendon Gouveia Cambu, Rafael Gomes Mantovani, Ricardo Cerri |
| 2021 | IDEAL | Time-Series in Hyper-parameter Initialization of Machine Learning Techniques. | Toms Horvth, Rafael Gomes Mantovani, Andr C. P. L. F. de Carvalho |
| 2018 | IJCNN | Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction. | Ricardo Cerri, Rafael Gomes Mantovani, Mrcio P. Basgalupp, Andr C. P. L. F. de Carvalho |
| 2017 | IJCNN | Incorporating instance correlations in multi-label classification via label-space. | Iuri Bonna M. de Abreu, Rafael Gomes Mantovani, Ricardo Cerri |
| 2016 | ISDA | Effects of Random Sampling on SVM Hyper-parameter Tuning. | Toms Horvth, Rafael Gomes Mantovani, Andr C. P. L. F. de Carvalho |
| 2015 | CBMS | Pattern Recognition of Lower Member Skin Ulcers in Medical Images with Machine Learning Algorithms. | Jose Luis Seixas, Sylvio Barbon, Rafael Gomes Mantovani |
| 2015 | IJCNN | To tune or not to tune: Recommending when to adjust SVM hyper-parameters via meta-learning. | Rafael Gomes Mantovani, Andr Luis Debiaso Rossi, Joaquin Vanschoren, Bernd Bischl, Andr C. P. L. F. de Carvalho |
| 2015 | IJCNN | Effectiveness of Random Search in SVM hyper-parameter tuning. | Rafael Gomes Mantovani, Andr Luis Debiaso Rossi, Joaquin Vanschoren, Bernd Bischl, Andr C. P. L. F. de Carvalho |