1,082 zoekresultaten voor “data analysis” in de Publieke website
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Course Using R for Data Analysis
Explore "Using R for Data Analysis" at Boerhaave Nascholing. Learn about the R language and build statistical reports. Dive into data analysis! Read more here.
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Mining Sensor Data from Complex Systems
Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe
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Machine learning for radio galaxy morphology analysis
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.
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Fuzzy systems and unsupervised computing: exploration of applications in biology
In this thesis we will explore the use of fuzzy systems theory for applications in bioinformatics.
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Statistical modelling of time-varying covariates for survival data
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.
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EuDEco Report on the legal analysis (D2.2)
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,…
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EuDEco report on the analysis of framework conditions (D1.2)
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…
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Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer
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Data science
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…
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Biological model representation and analysis
Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek
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Analysis of Energy Systems
The Institute of Environmental Sciences has carried out and participates in several projects that deal with the analysis of energy systems.
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Statistical learning for complex data to enable precision medicine strategies
Explaining treatment response variability between and within patients can support treatment and dosing optimization, to improve treatment of individual patients.
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Analysis and Dynamical Systems
Het onderzoek van dit programma is gecentreerd rond dynamische systemen, functionele analyse en hun interactie.
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Analysis and Stochastics
The research of the Applied Mathematics cluster is concerned with such diverse topics as dynamical systems, representation theory, differential equations and pattern recognition.
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Many objective optimization and complex network analysis
This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.
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Data Science
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…
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Adaptive Streaming Applications: Analysis and Implementation Models
Promotor: Prof.dr. E. Deprettere
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Governance and Data Science Group
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…
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Structural Health Monitoring Meets Data Mining
Promotor: Prof.dr. J.N. Kok, Co-promotor: A.J. Knobbe
- Game Studies and Cultural Analysis
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Steady-State Analysis of Large Scale Systems
Promotor: W.Th.F. den Hollander Co-Promotor: F.M. Spieksma
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Advances in Survival Analysis and Optimal Scaling Methods
This thesis is based on five papers on several topics.
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Cultural Analysis: Literature and Theory (MA)
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.
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Data science and sports: a winning combination
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.
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MICA – Material Intelligence Capacity Analysis
Can we develop a platform for raw materials intelligence?
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Visual analytics for spatially-resolved omics data at single cell resolution: Methods and Applications
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…
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ALL-IN meta-analysis
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.
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Data-driven Predictive Maintenance and Time-Series Applications
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.
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Development of automatic image analysis methods for high-throughput and high-content screening
Promotor: Prof.dr. B. van de Water
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Arno Knobbe in NWO uitgave 'Experiment NL' over intensieve data-analyse
Schaatscoach en bewegingswetenschapper Jac Orie legt al vijftien jaar alles vast over de prestaties van 'zijn' schaatsers. Dankzij datawetenschapper Arno Knobbe, die de verzamelde data op nieuwe manieren doorberekent, kan Orie zijn team nog slimmer trainen in de aanloop naar de Olympische Winterspelen…
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The integration of meta-analysis and classification & regression trees: meta-CART
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).
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Image analysis for gene expression based phenotype characterization in yeast cells
Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek
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Empirical signatures of universality, hierarchy and clustering in culture
In this thesis,
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Mass Spectrometry-Based Degradomics Analysis of Toxoid Vaccines
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.
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Aspects of the analysis of cell imagery: from shape to understanding
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.
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Population-Scale Network Analysis (POPNET)
Een infrastructuur voor onderzoeksdata in computationele sociale wetenschappen
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Shape Analysis for Phenotype Characterisation from High-throughput Imaging
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.
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Chainet - European network on chain analysis for environmental decision support
Analytical tools for environmental design and management in a systems perspective. The combined use of analytical tools.
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Sneller schaatsen dankzij data science
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.
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Data Science
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.
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Don't Blink: Detecting transiting exoplanets with MASCARA
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.
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Analysis of sub-visible particles in complex injectable formulations
Promotors: W. Jiskoot; G.J. Witkamp, Co-promotor: M.R. Nejadnik
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Cosmic tomography with weak gravitational lensing
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.
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The role and analysis of molecular systems in electrocatalysis
Molecular complexes can be used as electrocatalysts for oxygen reduction, water oxidation, and/or hydrogen peroxide production.
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Computational optimisation of optical projection tomography for 3D image analysis
Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.
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Network analysis methods for smart inspection in the transport domain
Transport inspectorates are looking for novel methods to identify dangerous behavior, ultimately to reduce risks associated to the movements of people and goods. We explore a data-driven approach to arrive at smart inspections of vehicles.
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Automated machine learning for dynamic energy management using time-series 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…
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Distance-based analysis of dynamical systems and time series by optimal transport
Promotor: S.M. Verduyn Lunel
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Based Clustering of Objects on Subsets of Attributes in High-Dimensional Data
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.
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In Shape: A Novel Approach to White Matter Hyperintensity Analysis
Promotie