90 citations · 94 across the 5 of their papers we have counts for
5 papers
Similarity-based prediction of Ejection Fraction in Heart Failure Patients
Jamie Wallis, Andres Azqueta-Gavaldon, Thanusha Ananthakumar +2
Biomedical research is increasingly employing real world evidence (RWE) to foster discoveries of novel clinical phenotypes and to better characterize long term effect of medical tr…
Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients
Oliver Carr, Stojan Jovanovic, Luca Albergante +6
Determining phenotypes of diseases can have considerable benefits for in-hospital patient care and to drug development. The structure of high dimensional data sets such as electron…
Estimating the effective dimension of large biological datasets using Fisher separability analysis
Luca Albergante, Jonathan Bac, Andrei Zinovyev
Modern large-scale datasets are frequently said to be high-dimensional. However, their data point clouds frequently possess structures, significantly decreasing their intrinsic dim…
Robust And Scalable Learning Of Complex Dataset Topologies Via Elpigraph
Luca Albergante, Evgeny M. Mirkes, Huidong Chen +6
Large datasets represented by multidimensional data point clouds often possess non-trivial distributions with branching trajectories and excluded regions, with the recent single-ce…
Balance of thrones: a network study on Game of Thrones
Dianbo Liu, Luca Albergante
TV dramas constitute an important part of the entertainment industry, with popular shows attracting millions of viewers and resulting in significant revenues. Finding a way to expl…