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Robin Vandaele
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2020 – today
- 2024
- [j4]Edith Heiter
, Robin Vandaele
Incorporating Topological Priors Into Low-Dimensional Visualizations Through Topological Regularization. IEEE Access 12: 129541-129573 (2024) - 2023
- [j3]Robin Vandaele
Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction. Patterns 4(1): 100657 (2023) - [i3]Edith Heiter, Robin Vandaele, Tijl De Bie, Yvan Saeys, Jefrey Lijffijt:
Topologically Regularized Data Embeddings. CoRR abs/2301.03338 (2023) - 2022
- [c4]Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys:
The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data? AISTATS 2022: 2158-2172 - [c3]Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys:
Topologically Regularized Data Embeddings. ICLR 2022 - 2021
- [j2]Robin Vandaele, Bastian Rieck
Stable topological signatures for metric trees through graph approximations. Pattern Recognit. Lett. 147: 85-92 (2021) - [i2]Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys:
The Curse Revisited: a Newly Quantified Concept of Meaningful Distances for Learning from High-Dimensional Noisy Data. CoRR abs/2109.10569 (2021) - [i1]Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys:
Topologically Regularized Data Embeddings. CoRR abs/2110.09193 (2021) - 2020
- [j1]Robin Vandaele, Yvan Saeys, Tijl De Bie:
Mining Topological Structure in Graphs through Forest Representations. J. Mach. Learn. Res. 21: 215:1-215:68 (2020) - [c2]Robin Vandaele, Yvan Saeys, Tijl De Bie:
Graph Approximations to Geodesics on Metric Graphs. ICPR 2020: 7328-7334
2010 – 2019
- 2018
- [c1]Robin Vandaele, Tijl De Bie, Yvan Saeys:
Local Topological Data Analysis to Uncover the Global Structure of Data Approaching Graph-Structured Topologies. ECML/PKDD (2) 2018: 19-36
Coauthor Index
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