Automated machine learning for predictive quality in production J Krauß, BM Pacheco, HM Zang, RH Schmitt Procedia CIRP 93, 443-448, 2020 | 62 | 2020 |
Towards fully automated deep-learning-based brain tumor segmentation: Is brain extraction still necessary? BM Pacheco, GS e Cassia, D Silva Biomedical Signal Processing and Control 82, 104514, 2023 | 12 | 2023 |
Does pre-training on brain-related tasks results in better deep-learning-based brain age biomarkers? BM Pacheco, VHR de Oliveira, ABF Antunes, SDS Pedro, D Silva, ... Brazilian Conference on Intelligent Systems, 181-194, 2023 | 2 | 2023 |
Graph Neural Networks for the Offline Nanosatellite Task Scheduling Problem B Machado Pacheco, L Oriel Seman, C Antônio Rigo, E Camponogara, ... arXiv e-prints, arXiv: 2303.13773, 2023 | 2* | 2023 |
Physics-Informed Deep Equilibrium Models for Solving ODEs BM Pacheco Florianópolis, SC., 2022 | 2 | 2022 |
A ReLU-based linearization approach for maximizing oil production in subsea platforms: An application to flow splitting E Camponogara, LO Seman, ER Müller, LK Miyatake, EF Gaspari, ... Chemical Engineering Science 295, 120165, 2024 | 1 | 2024 |
Deep-learning-based Early Fixing for Gas-lifted Oil Production Optimization: Supervised and Weakly-supervised Approaches BM Pacheco, LO Seman, E Camponogara arXiv preprint arXiv:2309.00197, 2023 | 1 | 2023 |
Solving Differential Equations using Physics-Informed Deep Equilibrium Models BM Pacheco, E Camponogara 2024 IEEE 20th International Conference on Automation Science and …, 2024 | | 2024 |
Selective Prediction for Semantic Segmentation using Post-Hoc Confidence Estimation and Its Performance under Distribution Shift BLC Borges, BM Pacheco, D Silva arXiv preprint arXiv:2402.10665, 2024 | | 2024 |