Dit op casestudies gebaseerde Engelstalige boek over multivariate analyse voor gevorderde studenten in de geesteswetenschappen legt de nadruk op beschrijvende, exploratieve analyses van verschillende soorten datasets uit een breed scala van subdisciplines, waarbij het gebruik van multivariate analyse…

Mining time series is a machine learning subfield that focuses on a particular data structure, where variables are measured over (short or long) periods of time.

Calamus javensis is polymorphic. Morphometry and molecular approach resulted in all names used in the complex are regarded as synonyms of C. javensis except C. tenompokensis, which is retained as a distinct species. One variety is here recognized, C. javensis var. polyphyllus (including C. acuminatu…

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

In this thesis,

Promotor: S.M. Verduyn Lunel

Data theory research on the analysis on the multidimensional data

Promotor: Prof.dr. G.P. van Wezel

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

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.

The Institute of Environmental Sciences has carried out and participates in several projects that deal with the analysis of energy systems.

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

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

Wiskunde en Natuurwetenschappen, Mathematisch Instituut (MI)

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

This thesis is based on five papers on several topics.

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

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.

Promotor: Prof.dr. E. Deprettere

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.

Can we develop a platform for raw materials intelligence?

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.

Promotor: Prof.dr. B. van de Water

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).

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

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,…

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.

Analytical tools for environmental design and management in a systems perspective. The combined use of analytical tools.

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…

Een infrastructuur voor onderzoeksdata in computationele sociale wetenschappen

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

Climate change is a challenge for both current and future generations. New biological resources have to be developed in order to meet the demand for energy as well as the demand for food.

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

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

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.

Supervisor: P.J.J. Hooykaas

Promotores: Arjen Doelman, Jens Rademacher, Max Rietkerk

Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.

This thesis focuses on addressing four research problems in designing embedded streaming systems.

Co-ordination Action for Innovation in Life-Cycle Analysis for Sustainability: deepening, broadening and leaping forward the LCA methodology.

Promotores: W.T. de Groot, M. Tchuenté, Co-promotor: J.P. Cheylan

What are the flows of C&DW (e.g. bricks, concrete, gypsum and wood) in the case study countries ? How to define the specification for each material to be quantified? What indicators should be used to identify the pattern of each C&DW management system? How to interpret the MFA results in relation…

Description of Triple bottom line approach for risk-benefit analysis of genetically modified crops.

Promotor: P.J.J. Hooykaas, Co-Promotores: P.B.F. Ouwerkerk, M. Wang

With the emergence of online social networks (OSNs), the way people create and share information has changed, which becomes faster and broader than traditional social media.

This thesis investigates the application of deep learning techniques in image analysis across various domains, focusing on four main themes: feature extraction, classification, segmentation, and integration, demonstrating the transformative potential of these technologies.