13 citations · 15 across the 5 of their papers we have counts for
9 papers
Assessing Policy, Loss and Planning Combinations in Reinforcement Learning using a New Modular Architecture
Tiago Gaspar Oliveira, Arlindo L. Oliveira
The model-based reinforcement learning paradigm, which uses planning algorithms and neural network models, has recently achieved unprecedented results in diverse applications, lead…
Using Soft Labels to Model Uncertainty in Medical Image Segmentation
João Lourenço Silva, Arlindo L. Oliveira
Medical image segmentation is inherently uncertain. For a given image, there may be multiple plausible segmentation hypotheses, and physicians will often disagree on lesion and org…
Modelling Neuronal Behaviour with Time Series Regression: Recurrent Neural Networks on C. Elegans Data
Gonçalo Mestre, Ruxandra Barbulescu, Arlindo L. Oliveira +1
Given the inner complexity of the human nervous system, insight into the dynamics of brain activity can be gained from understanding smaller and simpler organisms, such as the nema…
Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation
João Lourenço Silva, Miguel Nobre Menezes, Tiago Rodrigues +3
Coronary X-ray angiography is a crucial clinical procedure for the diagnosis and treatment of coronary artery disease, which accounts for roughly 16% of global deaths every year. H…
Modeling the geospatial evolution of COVID-19 using spatio-temporal convolutional sequence-to-sequence neural networks
Mário Cardoso, André Cavalheiro, Alexandre Borges +6
Europe was hit hard by the COVID-19 pandemic and Portugal was one of the most affected countries, having suffered three waves in the first twelve months. Approximately between Jan…
Graph Neural Networks for Traffic Forecasting
João Rico, José Barateiro, Arlindo Oliveira
The significant increase in world population and urbanisation has brought several important challenges, in particular regarding the sustainability, maintenance and planning of urba…