Robin Vandaele

According to our database, Robin Vandaele authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction.

Robin Vandaele, Pritam Mukherjee, Heather Marie Selby, Rajesh Pravin Shah, Olivier Gevaert

Patterns, January, 2023

Topologically Regularized Data Embeddings.

Edith Heiter, Robin Vandaele, Tijl De Bie, Yvan Saeys, Jefrey Lijffijt

CoRR, 2023

2022

Topologically Regularized Data Embeddings.

Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys

Proceedings of the Tenth International Conference on Learning Representations, 2022

The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data?

Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Stable topological signatures for metric trees through graph approximations.

Robin Vandaele, Bastian Rieck, Yvan Saeys, Tijl De Bie

Pattern Recognit. Lett., 2021

The Curse Revisited: a Newly Quantified Concept of Meaningful Distances for Learning from High-Dimensional Noisy Data.

Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys

CoRR, 2021

2020

Mining Topological Structure in Graphs through Forest Representations.

Robin Vandaele, Yvan Saeys, Tijl De Bie

J. Mach. Learn. Res., 2020

Graph Approximations to Geodesics on Metric Graphs.

Robin Vandaele, Yvan Saeys, Tijl De Bie

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018

Local Topological Data Analysis to Uncover the Global Structure of Data Approaching Graph-Structured Topologies.

Robin Vandaele, Tijl De Bie, Yvan Saeys

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018