| 2023 | ICASSP | Towards Low-Power Heart Rate Estimation Based on User's Demographics and Activity Level For Wearables. | Andr G. C. Pacheco, Frank A. C. Cabello, Adriana M. O. Fonoff, Paula G. Rodrigues, Otvio A. B. Penatti, Paula R. Pinto |
| 2021 | BMVC | Learning multiplane images from single views with self-supervision. | Gustavo Sutter P. Carvalho, Diogo C. Luvizon, Antonio Joia, Andr G. C. Pacheco, Otvio A. B. Penatti |
| 2021 | ICASSP | Improving Deep Learning Sound Events Classifiers Using Gram Matrix Feature-Wise Correlations. | Antonio Joia Neto, Andr G. C. Pacheco, Diogo Carbonera Luvizon |
| 2020 | CVPR | On Out-of-Distribution Detection Algorithms with Deep Neural Skin Cancer Classifiers. | Andr G. C. Pacheco, Chandramouli Shama Sastry, Thomas Trappenberg, Sageev Oore, Renato A. Krohling |
| 2020 | IJCNN | An app to detect melanoma using deep learning: An approach to handle imbalanced data based on evolutionary algorithms. | Pedro B. C. Castro, Breno Krohling, Andr G. C. Pacheco, Renato A. Krohling |
| 2020 | IJCNN | Learning dynamic weights for an ensemble of deep models applied to medical imaging classification. | Andr G. C. Pacheco, Thomas Trappenberg, Renato A. Krohling |
| 2019 | IJCNN | Skin lesion segmentation using deep learning for images acquired from smartphones. | Gabriel De Angelo, Andr G. C. Pacheco, Renato A. Krohling |
| 2018 | IJCNN | An approach to improve online sequential extreme learning machines using restricted Boltzmann machines. | Andr G. C. Pacheco, Renato A. Krohling |