8 citations · 10 across the 4 of their papers we have counts for
4 papers
Sparse-group SLOPE: adaptive bi-level selection with FDR-control
Fabio Feser, Marina Evangelou
In this manuscript, a new high-dimensional approach for simultaneous variable and group selection is proposed, called sparse-group SLOPE (SGS). SGS achieves false discovery rate co…
Variational Bayes for high-dimensional proportional hazards models with applications within gene expression
Michael Komodromos, Eric Aboagye, Marina Evangelou +2
Few Bayesian methods for analyzing high-dimensional sparse survival data provide scalable variable selection, effect estimation and uncertainty quantification. Such methods often e…
S-multi-SNE: Semi-Supervised Classification and Visualisation of Multi-View Data
Theodoulos Rodosthenous, Vahid Shahrezaei, Marina Evangelou
An increasing number of multi-view data are being published by studies in several fields. This type of data corresponds to multiple data-views, each representing a different aspect…
Multi-view Data Visualisation via Manifold Learning
Theodoulos Rodosthenous, Vahid Shahrezaei, Marina Evangelou
Non-linear dimensionality reduction can be performed by \textit{manifold learning} approaches, such as Stochastic Neighbour Embedding (SNE), Locally Linear Embedding (LLE) and Isom…