Rebecca Marion

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 7

Top Topics

Variable Selection

Multidimensional Scaling

Cluster Validity Indices

Manifold Embedding

Top Venues

Publications

Rebecca Marion, Benoît Frénay
Improving the Feature Selection Stability of the Delta Test in Regression. IEEE Trans. Artif. Intell. 5 (5) (2024)
Rebecca Marion, Johannes Lederer, Bernadette Govaerts, Rainer von Sachs
VC-PCR: A Prediction Method based on Supervised Variable Selection and Clustering. CoRR (2022)
Pierre Lambert, Rebecca Marion, Julien Albert, Emmanuel Jean, Sacha Corbugy, Cyril de Bodt
Globally local and fast explanations of t-SNE-like nonlinear embeddings. CIKM Workshops (2022)
Adrien Bibal, Rebecca Marion, Rainer von Sachs, Benoît Frénay
BIOT: Explaining multidimensional nonlinear MDS embeddings using the Best Interpretable Orthogonal Transformation. Neurocomputing 453 (2021)
Sara Kaczynska, Rebecca Marion, Rainer von Sachs
Comparison of Cluster Validity Indices and Decision Rules for Different Degrees of Cluster Separation. ESANN (2020)
Rebecca Marion, Adrien Bibal, Benoît Frénay
BIR: A method for selecting the best interpretable multidimensional scaling rotation using external variables. Neurocomputing 342 (2019)
Adrien Bibal, Rebecca Marion, Benoît Frénay
Finding the most interpretable MDS rotation for sparse linear models based on external features. ESANN (2018)