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Geerlings, A.C. (author)
doctoral thesis 1990
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Van den Eijkel, G.C. (author)
doctoral thesis 1999
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Juszczak, P. (author)
The thesis treats classification problems which are undersampled or where there exist an unbalance between classes in the sampling. The thesis is divided into three parts. The first two parts treat the problem of one-class classification. In the one-class classification problem, it is assumed that only examples of one of the classes, the target...
doctoral thesis 2006
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Loke, R.E. (author)
This thesis describes a visualization pipeline for sonar profiling data that show reflections of multiple sediments in the sea bottom and that cover huge survey areas with many gaps. Visualizing such data is not trivial, because they may be noisy and because data sets may be very large. The developed techniques are: (1) Quadtree interpolation...
doctoral thesis 2006
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Klijn, C.N. (author)
Cancer is a genetic disease. Step-wise alteration of genes that have a normal function in the cell can lead to the transformation of a healthy cell into a malignant cancer cell. Cancer genes provide several traits to the cell that allow it to become malignant. These traits have been researched for many years, and currently one knows quite well...
doctoral thesis 2011
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Bouarfa, L. (author)
In the Netherlands, each year over 1700 patients die from preventable surgical errors. Numerous initiatives to improve surgical practice have had some impact, but problems persist. Despite the introduction of checklists and protocols, patient safety in surgery remains a continuing challenge. This is complicated by some surgeons viewing their own...
doctoral thesis 2012
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Li, Y. (author)
Scale is an important parameter of images. Different objects or image structures (e.g. edges and corners) can appear at different scales and each is meaningful only over a limited range of scales. Multi-scale analysis has been widely used in image processing and computer vision, serving as the basis for many high-level image analysis systems....
doctoral thesis 2013
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Cheplygina, V. (author)
Multiple instance learning (MIL) is an extension of supervised learning where the objects are represented by sets (bags) of feature vectors (instances) rather than individual feature vectors. For example, an image can be represented by a bag of instances, where each instance is a patch in that image. Only bag labels are given, however, the...
doctoral thesis 2015
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Krishnakumari, P.K. (author)
Cities are complex, dynamic and ever-evolving. We need to understand how these cities work in order to predict, control or optimize their operations. We have identified some open issues related to network and data complexity that need to be solved to build feasible methods for these purposes. To this end, we first build multiscale graphs...
doctoral thesis 2020
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Abdul Madhar, S. (author)
The electricity grid spanning hundreds of thousands of kms is one of the most complex man-made network built in human history. Today, after a century of growth, progress and innovation, the electricity grid is in the process of undergoing another landmark shift in its operation. The introduction of renewable energy sources, especially, offshore...
doctoral thesis 2021
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