74 citations · 122 across the 8 of their papers we have counts for
4 papers · 1 filter
The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models
Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami +1
The Concordance Index (C-index) is a commonly used metric in Survival Analysis for evaluating the performance of a prediction model. In this paper, we propose a decomposition of th…
A New Bandit Setting Balancing Information from State Evolution and Corrupted Context
Alexander Galozy, Slawomir Nowaczyk, Mattias Ohlsson
We propose a new sequential decision-making setting, combining key aspects of two established online learning problems with bandit feedback. The optimal action to play at any given…
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
Najmeh Abiri, Björn Linse, Patrik Edén +1
Dealing with missing data in data analysis is inevitable. Although powerful imputation methods that address this problem exist, there is still much room for improvement. In this st…
Variational auto-encoders with Student's t-prior
Najmeh Abiri, Mattias Ohlsson
We propose a new structure for the variational auto-encoders (VAEs) prior, with the weakly informative multivariate Student's t-distribution. In the proposed model all distribution…