Searched for: contributor%3A%22Jongbloed%2C+G.+%28mentor%29%22
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Rang, Jugo (author)
This paper presents a novel approach for the estimation of conditional multivariate cumulative distribution functions (CDFs) within a nonparametric framework. To achieve this, we introduce a binary random variable that indirectly represents conditional CDFs and construct a dataset by pairing input vectors with the binary variables. We developed...
master thesis 2023
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Joyandeh, Arian (author)
With the rise of zero-shot synthetic image generation models, such as Stability.ai's Stable Diffusion, OpenAI's DALLE or Google's Imagen, the need for powerful tools to detect synthetic generated images has never been higher. In this thesis we contribute to this goal by considering wavelet-based approaches for synthetic image detection.<br/><br/...
master thesis 2023
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Lu, Jenny (author)
Pancreatic ductal adenocarcinoma (PDAC) is a devastating disease with a high mortality rate, poor prognosis, and a mere 7.7% 5-year survival rate [1] compared to 65% for all cancer types [2]. Approximately 80% of patients are diagnosed at the advanced stage [3], for which only palliative chemo(radio)therapy remains as treatment option. However,...
master thesis 2023
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L├╝ckerath, Femke (author)
During the initial phase of diagnosis, patients with anti-NDMA-receptor encephalitis (anti-NMDARE) often experience severe symptoms that significantly impact their quality of life. Anti-NDMARE is an autoimmune disorder affecting the brain, with electroencephalography (EEG) playing a vital role in diagnosis and treatment. Identifying EEG patterns...
master thesis 2023
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Yao, Yunsong (author)
master thesis 2023
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Tebbens, Ricardo (author)
There is a raising demand for player statistics in the world of football. With the developments over the last years in wearable sensors, Human Activity Recognition (HAR) based on wearable IMU sensors can be used to tackle this problem. This thesis builds upon an earlier research done for this topic, where an end-to-end pipeline based on deep...
master thesis 2023
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Heijlema, Cor-Jan (author)
Even though the use case of this study was to predict water currents for the sailing regatta in Tokyo, the method can be used for many different applications.
master thesis 2023
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Usman, Nerine (author)
Thanks to increasing computational resources, the grid sizes of global climate and weather prediction models are decreasing to scales at which subgrid processes, especially the evolution of clouds, can become spatially too variable for traditional deterministic parameterization approaches. We propose a stochastic parameterization in which clouds...
master thesis 2022
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Backers, Irene (author)
Om goed te kunnen voorspellen waar, wanneer en hoeveel het gaat regenen is het belangrijk om satellietbeelden, weermodellen en grondmetingen te combineren. Het in 2007 opgezette project 'The Trans-African Hydro-Meteorological Obsevatory' (TAHMO) heeft de afgelopen jaren 500 goedkope weerstations geplaatst, verspreid over 21 landen in Sub-Sahara...
bachelor thesis 2022
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Middeldorp, Laura (author)
When a second tumor arises in the contralateral breast in a patient with a previous or synchronous breast cancer, it is of clinical importance to determine if this tumor is a new unrelated tumor or a metastasis, i.e. clone, of the primary tumor. A new, unrelated tumor may be treated similarly as the first one since treatment was successful,...
master thesis 2022
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Casolo, Cecilia (author)
As Machine Learning models are being applied to a wide range of fields, the potential impact that these algorithms can have on people's lives is increasing. In a growing number of applications, such as criminal justice, financial assessments, job and college applications, the data points are indeed people's profiles. Therefore, in the presence...
master thesis 2021
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van der Jagt, Thomas (author)
For modelling microstructures of materials the Voronoi diagram is one of the most commonly used models. In this thesis we study a generalization of Voronoi diagrams known as the Laguerre-Voronoi diagram. In particular, we consider the stereological problem of estimating the 3D cell volume distribution of such a diagram from one of its 2D planar...
master thesis 2021
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Bonnet, Damiaan (author)
The goal of this thesis is to implement and experiment with a Bayesian way of estimating a (smooth) monotone regression function by applying it to climate data. The method we use is proposed by Neelon and Dunson. This method uses a piece-wise linear model for the unknown regression function and enforces the monotonicity constraint by the...
bachelor thesis 2021
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Pan, L.Y. (author)
Porous asphalt resides on most top layers of Dutch roads. Scheduling maintenance for these roads is generally dependent on several factors, but ravelling, the loss of aggregates in the top layers, is the main reason for maintenance on Dutch roads. With the recent framework of the DOS-LCMS scheme generating values for aggregate loss in...
master thesis 2020
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de Groot, Olivier (author)
Free competition in the insurance markets increases the competitiveness and lowers the premiums. If insurers lower their premiums without having a model that accurately quantifies the expected claim size, they can be in serious trouble. This research aims to accurately model the premiums and quantify the uncertainty involved using historic...
master thesis 2017
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Zijlstra, J. (author)
In the past few decades telescopes have given us insight into the structures of the observable universe. Current and future astronomical research investigate problems that concern how these structures have been formed and at which rates cosmic structures grow. The redshift of galaxies plays a fundamental role in this research directions, since...
master thesis 2016
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Kool, F.S. (author)
The likelihood ratio is a generally accepted measure for the strength of evidence in forensic comparison problems. These problems concern comparisons where it is investigated whether at least two items come from the same source or not, e.g. whether the DNA on the crime scene comes from the suspect or not. The use of likelihood ratios by forensic...
master thesis 2016
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de Haas, J.J. (author)
In this report we applied the marginal structural model and the naive Cox model on a simulated dataset, in order to find differences between these models. The marginal structural model is used to estimate causal effects in case of time-dependent confounding via inverse probability weights. The naive Cox model may produce a bias estimate of the...
master thesis 2016
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Velthoen, J.J. (author)
The estimation of extreme quantile curves of a family of conditional distributions is a non-trivial problem, due to the data-sparseness in the tail of the distribution. This thesis considers the problem of post-processing extreme precipitation forecasts in Friesland from the numerical weather prediction model HARMONIE. Assuming forecasts are...
master thesis 2016
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Wensveen, C.J. (author)
Coaches can benefit from objective information about playing styles applied in football matches. In this work, two methods for determining (characteristics of) the playing style of a football team in a certain match based on statistics of ball actions are constructed. The first method assigns a match to one of four commonly applied playing...
master thesis 2016
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