| Topological image modification for object detection and topological image processing of skin lesions R Vandaele, GA Nervo, O Gevaert Scientific Reports 10 (1), 21061, 2020 | 27 | 2020 |
| Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction R Vandaele, P Mukherjee, HM Selby, RP Shah, O Gevaert Patterns 4 (1), 2023 | 9 | 2023 |
| Stable topological signatures for metric trees through graph approximations R Vandaele, B Rieck, Y Saeys, T De Bie Pattern Recognition Letters 147, 85-92, 2021 | 7 | 2021 |
| Local topological data analysis to uncover the global structure of data approaching graph-structured topologies R Vandaele, T De Bie, Y Saeys Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 7 | 2019 |
| Topologically regularized data embeddings R Vandaele, B Kang, J Lijffijt, T De Bie, Y Saeys arXiv preprint arXiv:2110.09193, 2021 | 6 | 2021 |
| The curse revisited: When are distances informative for the ground truth in noisy high-dimensional data? R Vandaele, B Kang, T De Bie, Y Saeys International Conference on Artificial Intelligence and Statistics, 2158-2172, 2022 | 5 | 2022 |
| Mining topological structure in graphs through forest representations R Vandaele, Y Saeys, T De Bie Journal of Machine Learning Research 21 (215), 1-68, 2020 | 5 | 2020 |
| The boundary coefficient: a vertex measure for visualizing and finding structure in weighted graphs R Vandaele, Y Saeys, T De Bie 15th International Workshop on Mining and Learning with Graphs (MLG), 2019 | 3 | 2019 |
| Graph approximations to geodesics on metric graphs R Vandaele, Y Saeys, T De Bie 2020 25th International Conference on Pattern Recognition (ICPR), 7328-7334, 2021 | 2 | 2021 |
| Topological Inference in Graphs and Images R Vandaele Ghent University, 2020 | 2* | 2020 |
| Topologically Regularized Data Embeddings E Heiter, R Vandaele, T De Bie, Y Saeys, J Lijffijt arXiv preprint arXiv:2301.03338, 2023 | 1 | 2023 |
| The curse revisited: a newly quantified concept of meaningful distances for learning from high-dimensional noisy data R Vandaele, B Kang, T De Bie, Y Saeys CoRR, 2021 | 1 | 2021 |
| Reverse mathematics of the Browder-Göhde-Kirk fixed point theorem R Vandaele Ghent University, 2016 | | 2016 |
Tijl De BieFull Professor, Ghent University在 ugent.be 的电子邮件经过验证
Tijl De BieFull Professor, Ghent University在 ugent.be 的电子邮件经过验证
Yvan SaeysVIB - Ghent University在 ugent.be 的电子邮件经过验证