research
∙
07/05/2023
Improving Address Matching using Siamese Transformer Networks
Matching addresses is a critical task for companies and post offices inv...
share
research
∙
01/25/2023
Connecting metrics for shape-texture knowledge in computer vision
Modern artificial neural networks, including convolutional neural networ...
research
∙
09/22/2022
Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning
The Vision Transformer architecture has shown to be competitive in the c...
research
∙
01/08/2022
Assessing Policy, Loss and Planning Combinations in Reinforcement Learning using a New Modular Architecture
The model-based reinforcement learning paradigm, which uses planning alg...
research
∙
12/23/2021
Assessing the Impact of Attention and Self-Attention Mechanisms on the Classification of Skin Lesions
Attention mechanisms have raised significant interest in the research co...
research
∙
09/26/2021
Using Soft Labels to Model Uncertainty in Medical Image Segmentation
Medical image segmentation is inherently uncertain. For a given image, t...
research
∙
06/21/2021
Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation
Coronary X-ray angiography is a crucial clinical procedure for the diagn...
research
∙
05/06/2021
Modeling the geospatial evolution of COVID-19 using spatio-temporal convolutional sequence-to-sequence neural networks
Europe was hit hard by the COVID-19 pandemic and Portugal was one of the...
research
∙
03/04/2021
Automated Detection of Coronary Artery Stenosis in X-ray Angiography using Deep Neural Networks
Coronary artery disease leading up to stenosis, the partial or total blo...
research
∙
07/19/2018