74 citations · 122 across the 8 of their papers we have counts for
8 papers
Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain
Ola Hall, Mattias Ohlsson, Thortseinn Rögnvaldsson
Recent advances in artificial intelligence and machine learning have created a step change in how to measure human development indicators, in particular asset based poverty. The co…
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…
A Novel Approach to Structure Alignment
M. Ohlsson, C. Peterson, M. Ringner +1
A novel approach for structure alignment is presented, where the key ingredients are: (1) An error function formulation of the problem simultaneously in terms of binary (Potts) ass…