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cs.LG2026
Embedding Learning on Multiplex Networks for Link Prediction
Orell Trautmann, Olaf Wolkenhauer, Clémence Réda
Over the past years, embedding learning on networks has shown tremendous results in link prediction tasks for complex systems, with a wide range of real-life applications. Learning…
cs.LG2024
Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data
Rahul Bordoloi, Clémence Réda, Orell Trautmann +2
Functional linear discriminant analysis (FLDA) is a powerful tool that extends LDA-mediated multiclass classification and dimension reduction to univariate time-series functions. H…