27 citations · 49 across the 4 of their papers we have counts for
4 papers
Towards Explainable Motion Prediction using Heterogeneous Graph Representations
Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander +2
Motion prediction systems aim to capture the future behavior of traffic scenarios enabling autonomous vehicles to perform safe and efficient planning. The evolution of these scenar…
Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs
Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander +3
Predicting the motion of other road agents enables autonomous vehicles to perform safe and efficient path planning. This task is very complex, as the behaviour of road agents depen…
GAN-based generative modelling for dermatological applications -- comparative study
Sandra Carrasco Limeros, Sylwia Majchrowska, Mohamad Khir Zoubi +4
The lack of sufficiently large open medical databases is one of the biggest challenges in AI-powered healthcare. Synthetic data created using Generative Adversarial Networks (GANs)…
The (de)biasing effect of GAN-based augmentation methods on skin lesion images
Agnieszka Mikołajczyk, Sylwia Majchrowska, Sandra Carrasco Limeros
New medical datasets are now more open to the public, allowing for better and more extensive research. Although prepared with the utmost care, new datasets might still be a source…