66 citations · 233 across the 14 of their papers we have counts for
3 papers · 1 filter
On Network Embedding for Machine Learning on Road Networks: A Case Study on the Danish Road Network
Tobias Skovgaard Jepsen, Christian S. Jensen, Thomas Dyhre Nielsen
Road networks are a type of spatial network, where edges may be associated with qualitative information such as road type and speed limit. Unfortunately, such information is often…
Probabilistic Models with Deep Neural Networks
Andrés R. Masegosa, Rafael Cabañas, Helge Langseth +2
Recent advances in statistical inference have significantly expanded the toolbox of probabilistic modeling. Historically, probabilistic modeling has been constrained to (i) very re…
Graph Convolutional Networks for Road Networks
Tobias Skovgaard Jepsen, Christian S. Jensen, Thomas Dyhre Nielsen
Machine learning techniques for road networks hold the potential to facilitate many important transportation applications. Graph Convolutional Networks (GCNs) are neural networks t…