Onderzoeken hoe gegevens afkomstig van draagbare technologieën kunnen worden gebruikt om effectieve gedragsveranderingen te identificeren die hopelijk zullen leiden tot gezondheidsverbeteringen.

Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe

We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.

In this thesis we will explore the use of fuzzy systems theory for applications in bioinformatics.

This dissertation focuses on developing new mathematical and statistical methods to properly represent time-varying covariates and model them within the context of time-to-event analysis.

Promotores: J.C. van Houwelingen, S.A. van de Geer

Verbeteren van pandemische paraatheid via een gezamenlijk privacy-by-design datamodelleringsplatform.

D1.2 reports on the findings of an analysis of framework conditions relevant in the context of the data economy from a legal, a socio-economic and a technological perspective. The analysis is a key foundation for the creation of an initial, heuristic model of the European data economy. The deliverable…

In this dissertation, we study partition-based models that can be used both for interpretable predictive modeling and for understanding data via interpretable patterns.

D2.2 comprises the in-depth legal analysis of the initial heuristic model, focused on addressing, in more detail, the main legal concerns for data reusers in the European data economy. This detailed analysis of the legal propositions presented in D2.1 is supplemented by an analysis of the technological,…

Het merendeel van de wetenschappers, van archeologen tot zoölogen, verzamelt enorme hoeveelheden gegevens. Hun databanken bevatten grote hoeveelheden informatie die voor de mens moeilijk te filteren zijn. Met een stevige basis in de statistiek en de computerwetenschappen kunnen we algoritmes ontwikkelen…

Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek

Explaining treatment response variability between and within patients can support treatment and dosing optimization, to improve treatment of individual patients.

Overlevingsanalyse is een onderzoeksgebied dat zich richt op het bestuderen van de tijd tot het optreden van een specifieke uitkomst.

Het onderzoek van dit programma is gecentreerd rond dynamische systemen, functionele analyse en hun interactie.

The research of the Applied Mathematics cluster is concerned with such diverse topics as dynamical systems, representation theory, differential equations and pattern recognition.

Het merendeel van de wetenschappers, van archeologen tot zoölogen, verzamelt enorme hoeveelheden gegevens. Hun databanken bevatten grote hoeveelheden informatie die voor de mens moeilijk te filteren zijn. Met een stevige basis in de statistiek en de computerwetenschappen kunnen we algoritmes ontwikkelen…

This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.

Promotor: Prof.dr. J.N. Kok, Co-promotor: A.J. Knobbe

Promotor: Prof.dr. E. Deprettere

Athletes always strive for the top. How can data scientists assist them in improving their performance? During the seminar Data Science and Sports, the possibilities and challenges of collaboration between these two worlds were discussed.

This thesis is based on five papers on several topics.

Promotor: W.Th.F. den Hollander Co-Promotor: F.M. Spieksma

In this thesis,

De masteropleiding Cultural Analysis: Literature and Theory van de Universiteit Leiden richt zich op de studie van literatuur vanuit een vergelijkend en theoretisch perspectief, en onderzoekt de literatuur van een breed spectrum van talen en culturen uit de hele wereld.

Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.

The deeper understanding of an organism's pathology is important for developing treatments. Over centuries of systematic research, clinical researchers have demonstrated that the more information they acquire about the cellular properties and their organisation in the tissue, the better they can understand…

Promotor: Prof.dr. B. van de Water

Science is typically a patchwork of research contributions without much coordination. Especially in clinical trials, the follow-up studies that we do fail to be the most promising.

This thesis describes the Multi-site All-Sky CAmeRA (MASCARA), which consists of two small robotic telescope designed to detect exoplanets around the brightest stars in the sky.

Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek

Veel Nederlandse schaatsers en voetballers behoren tot de absolute wereldtop. Toch kunnen ze dankzij slimme statistische analyses wellicht nóg een beetje beter worden. De Universiteit Leiden werkt er samen met Delft en Amsterdam aan.

In meta-analysis, heterogeneity often exists between studies. In such cases, it is essential to investigate the sources of heterogeneity and understand the relationship between effect size and study characteristics (i.e., moderators).

The extensive use of electronic communication channels and other devices has opened new possibilities for collecting data on human behavior. This information is sometimes openly accessible, but largely part of administrative registration systems that are not open to the broader public. The data provides…

Het verzamelen en interpreteren van grote hoeveelheden data is niet meer weg te denken uit de maatschappij en de wetenschap. De Universiteit Leiden is een kennis- en expertisecentrum van data science dat de nadruk legt op interdisciplinaire samenwerking en innovatie.

We explored the Universe using weak gravitational lensing, a phenomenon that occurs when light from distant galaxies is bent by the gravitational fields of closer cosmic objects, much like how a lens distorts light.

This thesis addresses the challenge of sustainable urban development by analyzing the interplay between green and grey infrastructure to optimize resource use and ecosystem services.

The chemical and structural heterogeneity of toxoid vaccines makes their analysis challenging. However, detailed insights on a molecular level can be obtained by mass spectrometry.

In this thesis, we have studied cell images from two types of cells, including pollen grains and the immune cells, neutrophils. These images are captured using a bright field microscope and a confocal microscope.

We have studied shape with a particular focus on the zebrafish model system. The shape is an essential appearance of the phenotype of a biological specimen and it can be used to read out a current state or response or to study gene expression.

This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.

Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…

Promotors: W. Jiskoot; G.J. Witkamp, Co-promotor: M.R. Nejadnik

Promotor: S.M. Verduyn Lunel

Door individuele gezondheidsgegevens te vergelijken met groepsdata, kunnen artsen advies op maat geven en kunnen patiënten leren van elkaars ervaringen. Wessel Kraaij, hoogleraar Applied Data Analytics, laat zien hoe persoonlijke data een voorspellende waarde kunnen hebben.

Molecular complexes can be used as electrocatalysts for oxygen reduction, water oxidation, and/or hydrogen peroxide production.

Data reuse en big data: een ordening voor persoonlijke data reuse.

Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.

Het gebruik van ‘Big data’ is niet meer weg te denken binnen het wetenschappelijk onderzoek. Voor dit onderzoek maken we gebruiken van diverse grote databestanden.