Pedro Conde

Multispectral Vineyard Segmentation: A Deep Learning approach

C. Premebida, G. Gonçalves, T. Barros, 2021, ArXiv.

ECE-based Deep Ensemble for Neural Network Calibration in Satellite Image Classification

C. Premebida, T. Barros, U. Nunes, 2023, 2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC).

Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks

C. Premebida, T. Barros, U. Nunes, 2023, ArXiv.

Adaptive-TTA: accuracy-consistent weighted test time augmentation method for the uncertainty calibration of deep learning classifiers

C. Premebida, Pedro Conde, 2022, BMVC.

A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection

C. Premebida, Pedro Conde, Rui L. Lopes, 2023, 2309.00464.

Probabilistic Approach for Road-Users Detection

C. Premebida, A. Asvadi, W. Lu, 2021, IEEE Transactions on Intelligent Transportation Systems.