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07/05/2023
Improving Address Matching using Siamese Transformer Networks
Matching addresses is a critical task for companies and post offices inv...
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01/25/2023
Connecting metrics for shape-texture knowledge in computer vision
Modern artificial neural networks, including convolutional neural networ...
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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...
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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...
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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...
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09/26/2021
Using Soft Labels to Model Uncertainty in Medical Image Segmentation
Medical image segmentation is inherently uncertain. For a given image, t...
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06/21/2021
Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation
Coronary X-ray angiography is a crucial clinical procedure for the diagn...
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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...
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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...
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07/19/2018
