Searched for: contributor%3A%22Reinders%2C+M.J.T.+%28promotor%29%22
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Liu, X. (author)
Deep learning is the core algorithmic tool for automatically processing large amounts of data. Deep learning models are defined as a stack of functions (called layers) with millions of parameters, that are updated during training by fitting them to data. Deep learning models have show remarkable accuracy gains on visual problems in video and...
doctoral thesis 2024
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Lengyel, A. (author)
Computer vision algorithms are getting more advanced by the day and slowly approach human-like capabilities, such as detecting objects in cluttered scenes and recognizing facial expressions. Yet, computers learn to perform these tasks very differently from humans. Where humans can generalize between different lighting conditions or geometric...
doctoral thesis 2024
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Wang, Z. (author)
Machine learning aims to solve a task with a certain algorithm or statistical model that is trained on data, with or without labels. As a subcategory of machine learning, deep learning achieves good performance with its flexibility on end-to-end representation learning and architecture design. Despite the successes of deep learning, the output...
doctoral thesis 2024
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Shirali Hossein Zade, R. (author)
The genome encompasses an organism’s full DNA, organized into chromosomes within the cell nucleus. Humans have 46 paired chromosomes, and within these pairs, genetic information is grouped as haplotypes—genetic packages passed from one generation to the next, ensuring genetic diversity. While DNA sequencing produces short fragments or reads,...
doctoral thesis 2024
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Raman, C.A. (author)
Over the last three decades, the social roots of human intelligence have come to influence the development of artificial intelligence (AI). Researchers in AI have moved beyond agents operating in isolation towards developing socially situated agents that can operate in the real world. Meanwhile, researchers in the social sciences have been...
doctoral thesis 2023
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Zhang, M. (author)
A remarkable accomplishment of human beings in recent centuries is the extension of their average lifespan, for example by improved living conditions. A downside of this achievement is that aging-related diseases, such as Alzheimer’s disease (AD), have risen, and as a consequence are impacting the lives of an increasing fraction of individuals....
doctoral thesis 2023
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Mokveld, T.O. (author)
Genomics is a field devoted to understanding the differences in genetics between populations, individuals, and even within individuals. By constantly comparing and contrasting data from diverse sources, genomics can refine our understanding of life and identify new ways to improve our lives. However, this often presents technical and biological...
doctoral thesis 2023
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Tan, S. (author)
Understanding human behavior has been an intriguing topic studied by many disciplines, including social science, neuroscience, etc. Humans exhibit social behaviors, through for example, interacting, conversing, empathizing with each other. Systematically and scientifically studying these behaviors often requires granular observations and...
doctoral thesis 2023
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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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