22 citations · 34 across the 5 of their papers we have counts for
6 papers
AI-Enhanced Hyperspectral Imaging for Intraoperative Detection of Low-Grade Glioma: A Clinical Study
Siri Willems, Ishika Jain, Jens De Winne +9
Current image-guided neuronavigation techniques, such as intraoperative MRI and ultrasound, are limited by high costs, limited sensitivity and operational complexity. There is a cl…
Dataset Condensation with Latent Quantile Matching
Wei Wei, Tom De Schepper, Kevin Mets
Dataset condensation (DC) methods aim to learn a smaller synthesized dataset with informative data records to accelerate the training of machine learning models. Current distributi…
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition
Wei Wei, Tom De Schepper, Kevin Mets
Continual learning (CL) is the research field that aims to build machine learning models that can accumulate knowledge continuously over different tasks without retraining from scr…
Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning
Steven Mortier, Amir Hamedpour, Bart Bussmann +5
Changes in climate can greatly affect the phenology of plants, which can have important feedback effects, such as altering the carbon cycle. These phenological feedback effects are…
Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways
Astrid Vanneste, Simon Vanneste, Olivier Vasseur +7
In recent years, interest in autonomous shipping in urban waterways has increased significantly due to the trend of keeping cars and trucks out of city centers. Classical approache…
Deep set conditioned latent representations for action recognition
Akash Singh, Tom De Schepper, Kevin Mets +3
In recent years multi-label, multi-class video action recognition has gained significant popularity. While reasoning over temporally connected atomic actions is mundane for intelli…