Robin Vandaele

11 papers A* 1A 1B 1Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Incorporating Topological Priors Into Low-Dimensional Visualizations Through Topological Regularization.
IEEE Access
Edith Heiter, Robin Vandaele, Tijl De Bie, Yvan Saeys, Jefrey Lijffijt
2023 J jnl
Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction.
Patterns
Robin Vandaele, Pritam Mukherjee, Heather Marie Selby, Rajesh Pravin Shah, Olivier Gevaert
2023 J jnl
Topologically Regularized Data Embeddings.
CoRR
Edith Heiter, Robin Vandaele, Tijl De Bie, Yvan Saeys, Jefrey Lijffijt
2022 A conf
The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data?
AISTATS
Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys
2022 A* conf
Topologically Regularized Data Embeddings.
ICLR
Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys
2021 J jnl
Stable topological signatures for metric trees through graph approximations.
Pattern Recognit. Lett.
Robin Vandaele, Bastian Rieck, Yvan Saeys, Tijl De Bie
2021 J jnl
The Curse Revisited: a Newly Quantified Concept of Meaningful Distances for Learning from High-Dimensional Noisy Data.
CoRR
Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys
2021 J jnl
Topologically Regularized Data Embeddings.
CoRR
Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys
2020 B conf
Graph Approximations to Geodesics on Metric Graphs.
ICPR
Robin Vandaele, Yvan Saeys, Tijl De Bie
2020 J jnl
Mining Topological Structure in Graphs through Forest Representations.
J. Mach. Learn. Res.
Robin Vandaele, Yvan Saeys, Tijl De Bie
2018 — conf
Local Topological Data Analysis to Uncover the Global Structure of Data Approaching Graph-Structured Topologies.
ECML/PKDD (2)
Robin Vandaele, Tijl De Bie, Yvan Saeys