Research output per year
Research output per year
Personal profile
Education/Academic qualification
Doctor of Science, Statistical and Machine Learning Methods for Identifying Clusters of Variables, Université Catholique de Louvain
Award Date: 9 Sept 2021
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Dive into the research topics where Rebecca Marion is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Gradient-based explanation for non-linear non-parametric dimensionality reduction
Corbugy, S., Marion, R. & Frénay, B., Nov 2024, In: Data Mining and Knowledge Discovery. 38, 6, p. 3690-3718 29 p.Research output: Contribution to journal › Article › peer-review
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Improving the Feature Selection Stability of the Delta Test in Regression
Marion, R. & Frenay, B., 12 Sept 2023, In: IEEE Transactions on Artificial Intelligence. 5, 5, p. 1911-1917 7 p., 10248958.Research output: Contribution to journal › Article › peer-review
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Globally local and fast explanations of t-SNE-like nonlinear embeddings
Lambert, P., Marion, R., Albert, J., Jean, E., Corbugy, S. & de Bodt, C., 2022, CIKM-WS 2022: Proceedings of the CIKM 2022 Workshops. Drakopoulos, G. & Kafeza, E. (eds.). CEUR Workshop Proceedings, (CEUR Workshop Proceedings; vol. 3318).Research output: Contribution in Book/Catalog/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review