Searched for: contributor%3A%22Reinders%2C+M.J.T.+%28promotor%29%22
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Abdelaal, T.R.M. (author)
Single-cell technologies have emerged as powerful tools to analyze complex tissues at the single-cell resolution, resolving the cellular heterogeneity within a tissue through the discovery of different cell populations. Over the past decade, single-cell technologies have greatly developed allowing the profiling of various molecular features...
doctoral thesis 2021
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Makrodimitris, S. (author)
Billions of people world-wide rely on plant-based food for their daily energy intake. As global warming and the spread of diseases (such as the banana Panama disease) is substantially hindering the cultivation of plants, the need to develop temperature- and/or disease-resistant varieties is getting more and more pressing. The field of plant...
doctoral thesis 2021
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Salazar, A.N. (author)
We, humans, have an ancient microscopic companion: yeasts. These microbial organisms have helped shape our evolution, our civilizations, and our sciences. The evolutionary event that enabled yeasts to produce alcohol more than 100 million years ago was followed with adaptations throughout the animal kingdom to tolerate it. Our realisation that...
doctoral thesis 2021
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Groß, C. (author)
Illuminating the functional part of the genome of livestock species has the potential to facilitate precision breeding and to accelerate improvements. Identifying functional and potentially deleterious mutations can provide breeders with crucial information to tackle inbreeding depression or to increase the overall health of their populations...
doctoral thesis 2020
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Rashid, M.M. (author)
Cancer is an umbrella terminology that binds hundreds of complex genetic diseases based on a set of common phenotypic hallmarks. Each cancer and their sub-types have their unique genomic profiles. The common factor that binds them all together is that they all arise from changes in the DNA. Theses changes range from single nucleotide levels...
doctoral thesis 2020
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Huisman, S.M.H. (author)
Medical studies are rarely easy, and it is especially challenging to understand brain disease. Brains are highly complex organs, and it is, for instance, hard to see the relationships between behavioural change in a person and the changes in the connections among the billions of cells in the brain that cause this behavioural change. Many brain...
doctoral thesis 2020
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Mey, A. (author)
The goal of this thesis is to investigate theoretical results in the field of semi-supervised learning, while also linking them to problems in related subjects as class probability estimation.<br/>
doctoral thesis 2020
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Kekec, I.T. (author)
The digital era floods us with an excessive amount of text data. To make sense of such data automatically, there is an increasing demand for accurate numerical word representations. The complexity of natural languages motivates to represent words with high dimensional vectors. However, learning in a high dimensional space is challenging when the...
doctoral thesis 2019
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Van Dyk, H.O. (author)
Cancer is a genetic disease. The activation, alteration or deactivation of cancer genes can stimulate undesirable cell-proliferation. Cancer genes can be subdivided into oncogenes and tumor suppressors. Oncogenes, such as growth factor receptors, are altered and/or overexpressed genes that are causally linked to tumorigenesis. Tumor suppressors,...
doctoral thesis 2019
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Gedik, E. (author)
Understanding human behaviour has sparked the minds of many throughout centuries. One intriguing aspect of human behaviour is the social part; how humans react to each other and their environment. Scientifically studying such behaviour is hampered because of the need for manual annotations, so that social scientists limited themselves to...
doctoral thesis 2018
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Yang, Y. (author)
In recent decades, the availability of a large amount of data has propelled the field of machine learning enormously. Machine learning, however, relies heavily on the availability of annotated data, typically labels indicating to which class a data instance belongs. With the huge amounts of data, this raises the question of how to efficiently...
doctoral thesis 2018
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Allahyar, A. (author)
In the last two decades, our understanding of the molecular mechanisms within the cell has witnessed a great leap forward. For the most part this is due to the fast innovation of the genomic measurements technologies and wide spread usage of computational methods which enables knowledge extraction from the massive datasets produced by these...
doctoral thesis 2018
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Cabrera Quiros, L.C. (author)
The automated analysis of human non-verbal behavior during crowded mingle scenarios is part of the newly emerged domain of Social Signal Processing (SSP). This specific line of research aims to develop computational methods to automatically understand social interactions in-the-wild, while facing the many challenges inherent with the noisy...
doctoral thesis 2018
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Pei, W. (author)
Much of the observational data that we see around is, is ordered in space or time. For instance, video data, audio data or text data. This ordered data, called sequence data, calls for automatic analysis using supervised learning. Traditional single-observation supervised learning is challenged by sequence data, because (1) the length of...
doctoral thesis 2018
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Kouw, W.M. (author)
Artificial intelligence, and in particular machine learning, is concerned with teaching computer systems to perform tasks. Tasks such as autonomous driving, recognizing tumors in medical images, or detecting suspicious packages in airports. Such systems learn by observing examples, i.e. data, and forming a mathematical description of what types...
doctoral thesis 2018
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Gehrmann, T. (author)
Fungi are microorganisms whose astounding variety can be found in every conceivable ecosystem on the planet. Fungi are nutrient recyclers, playing an irreplaceable role in the carbon cycle. They grow on land and in the sea, on plants and animals and in the soil. They feed us as mushrooms, and drive our economy as bioreactors. They leaven our...
doctoral thesis 2018
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Gritsenko, A. (author)
Recent advances in DNA sequencing, synthesis and genetic engineering have enabled the introduction of choice DNA sequences into living cells. This is an exciting prospect for the field of industrial biotechnology, which aims at using microorganisms to produce foods, beverages, pharmaceuticals and fine- and bulk chemicals in a sustainable fashion...
doctoral thesis 2017
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Mahfouz, A.M.E.T.A. (author)
doctoral thesis 2016
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Babaei, S. (author)
Cancer is a complex disease that results from alterations in genes that control the growth and division mechanisms of the cell. Identifying cancer-associated genes and pathways through which these genes influence cellular function is the key challenge in cancer re- search. This thesis proposes novel computational approaches that integrate data...
doctoral thesis 2015
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Plasencia Calaña, Y. (author)
Automatic pattern classification for a given problem domain aims at assigning a class or category membership to a new unseen object from the same domain. This is performed in three main stages: data preprocessing, representation and classification. The data preprocessing highly depends on the data type (e.g. images, signals) which makes its...
doctoral thesis 2015
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