Thomas Kovac

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Using the matrix factorization technique in machine learning is very common mainly in areas like recommender systems. Despite its high prediction accuracy and its ability to avoid over-fitting of the data, the Bayesian Probabilistic Matrix Factorization algorithm (BPMF) has not been widely used because of the prohibitive cost. In this paper, we propose a(More)
BACKGROUND The Ebola outbreak in West Africa has infected at least 27,443 individuals and killed 11,207, based on data until 24 June, 2015, released by the World Health Organization (WHO). This outbreak has been characterised by extensive geographic spread across the affected countries Guinea, Liberia and Sierra Leone, and by localized hotspots within these(More)
The developed framework can automatically extract a plane with minimal corpus callosum area while simultaneously segmenting it. The method used, introduced by Ishaq, treats the corpus callosum area as a function of the plane extraction parameters and it uses deformable registration to generate a displacement field that can be used for the calculation of the(More)
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