Searched for: contributor%3A%22Reinders%2C+M.J.T.+%28promotor%29%22
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Mourragui, S.M.C. (author)Extensive efforts in cancer research over the past decades have markedly improved diagnosis and treatments, leading to better outcomes for cancer patients. Paradoxically, however, these discoveries have begun to shed light on a level of complexity that rules out the emergence of a universal cancer treatment. As any tumor is now known to be...doctoral thesis 2023
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Gudi, A.A. (author)Machines that interact with humans can do so better if they can also visually understand us, but they have limited resources to do so. The main topic of this dissertation is contrasting the use of resources by machine vision systems against the accuracy obtained by them. This thesis focuses on reducing the need for data, memory, and computation...doctoral thesis 2022
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Lin, Y. (author)The humanly constructed world is well-organized in space. A prominent feature of this artificial world is the presence of repetitive structures and coherent patterns, such as lines, junctions, wireframes of a building, and footprints of a city. These structures and patterns facilitate visual scene understanding by providing abundant geometry...doctoral thesis 2022
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Kayhan, O.S. (author)Spatial localization in time is vital for humans. Therefore we desire that computer vision algorithms are also able to spatially and temporally localize objects and actions. These algorithms generally learn from given data and discover patterns, parts, motions, and their locations by exploiting inductive biases that are essential for learning....doctoral thesis 2022
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Anyansi, C.A. (author)This thesis represents one small step in the battle with TB, where we apply WGS approaches to explore different topics of TB research. Here we offer the global community a method to diagnose complex TB infections consisting of multiple distinct strains. We show that this functionality is necessary and has been overlooked by the TB community in...doctoral thesis 2021
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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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