This paper investigates the use of the Bayesian inference for devising an example-based rendering procedure. As prior model of this Bayesian inference, we exploit the multiscale n...
In this paper we describe a tools environment which automates the validation and maintenance of a requirements model written in many-sorted first order logic. We focus on: a trans...
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...
Project managers use inspection data as input to capture-recapture (CR) models to estimate the total number of faults present in a software artifact. The CR models use the number ...
In the present paper we propose a method for fast segmentation of ultrasound data. It is based on setting up a model depending on user input. We apply a matching scheme in order t...