most citedMultivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

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★ 5 cited

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…