| BIR: A method for selecting the best interpretable multidimensional scaling rotation using external variables R Marion, A Bibal, B Frénay Neurocomputing 342, 83-96, 2019 | 17 | 2019 |
| The essentials on linear regression, ANOVA, general linear and linear mixed models for the chemist B Govaerts, B Francq, R Marion, M Martin, M Thiel Reference Module in Chemistry, Molecular Sciences and Chemical Engineering 2, 2020 | 15 | 2020 |
| Finding the most interpretable MDS rotation for sparse linear models based on external features A Bibal, R Marion, B Frénay 26th European Symposium on Artificial Neural Networks, Computational …, 2018 | 11 | 2018 |
| BIOT: Explaining multidimensional nonlinear MDS embeddings using the Best Interpretable Orthogonal Transformation A Bibal, R Marion, R von Sachs, B Frénay Neurocomputing 453, 109-118, 2021 | 10 | 2021 |
| Globally local and fast explanations of t-SNE-like nonlinear embeddings P Lambert, R Marion, J Albert, E Jean, S Corbugy, C De Bodt 2022 International Conference on Information and Knowledge Management …, 2022 | 6 | 2022 |
| AdaCLV for interpretable variable clustering and dimensionality reduction of spectroscopic data R Marion, B Govaerts, R von Sachs Chemometrics and Intelligent Laboratory Systems 206, 104169, 2020 | 6 | 2020 |
| Comparison of Cluster Validity Indices and Decision Rules for Different Degrees of Cluster Separation S Kaczynska, R Marion, R von Sachs ESANN, 2020 | 3 | 2020 |
| Gradient-based explanation for non-linear non-parametric dimensionality reduction S Corbugy, R Marion, B Frénay Data Mining and Knowledge Discovery 38 (6), 3690-3718, 2024 | 2 | 2024 |
| Improving the feature selection stability of the delta test in regression R Marion, B Frénay IEEE Transactions on Artificial Intelligence 5 (5), 1911-1917, 2023 | 1 | 2023 |
| VC-PCR: A Prediction Method based on Supervised Variable Selection and Clustering R Marion, J Lederer, B Govaerts, R von Sachs arXiv preprint arXiv:2202.00975, 2022 | 1 | 2022 |
| Statistical and Machine Learning Methods for Identifying Clusters of Variables R Marion Université catholique de Louvain, 2021 | 1* | 2021 |
| Pre-processing of nmr spectra: review and evaluation of baseline correction, normalization, scaling and transformation methods R Marion | 1 | 2016 |
| VC‐PCR: A prediction method based on variable selection and clustering R Marion, J Lederer, B Goevarts, R Sachs Statistica Neerlandica 79 (1), e12358, 2025 | | 2025 |
| Globally local and fast explanations of 𝑡-SNE-like nonlinear embeddings P Lambert, R Marion, J Albert, E Jean, S Corbugy, C de Bodt | | 2022 |
Frénay BenoîtFaculty of Computer Science, Université de NamurE-mailová adresa ověřena na: unamur.be
