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.

Understanding how data derived from wearable technology can be used to identify effective changes in behaviour that are likely to result in health improvements

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.

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.

With textnets it is possible to visualize and analyze textual data in novel ways.

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.

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The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.

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

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

In this publication, Prof. Tahir Abbas, Inés Bolaños Somoano, Joana Cook, Isabelle Frens, Graig R. Klein and Richard McNeil-Willson look into the manifesto that was linked to the Buffalo attack in order to better understand the broader context and specific factors that motivated the perpetrator.

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Are you thinking about studying Cultural Analysis: Literature and Theory? Learn more and watch the introduction video.

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

The research of this programme is centered around dynamical systems, functional analysis, and their interplay.

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

The research of our group is centered around dynamical systems, functional analysis and their interplay.

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

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.

The main methodological aspects of the use of stepwise LCA estimators under different circumstances.

Explore "Analysis of Repeated Measurements" at Boerhaave Nascholing. Learn statistical methods for correlated data in time. Read more here.

This handbook provides a resource for those already familiar with some kinds of micro-particles who wish to learn more about others, or for those just starting out in the study of microremains who wish to have a broad understanding about microscopic archaeology.

Radiography is an important technique to inspect objects, with applications in airports and hospitals. X-ray imaging is also essential in industry, for instance in food safety checks for the presence of foreign objects.

Obtaining imaging data is nowadays only the start of your project. Once the data has been acquired there are many things that still need to be done.

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 volume is one-stop shopping for crisis studies and a number of closely related fields, providing a window onto the latest thinking in the field. The articles reflect cutting edge, state of the art scholarship and pose key questions for research and practical development.

This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…

The Automated Design and Analysis of Algorithms (ADA) research group pursues the development of Artificial Intelligence techniques that complement, rather than replace, human intelligence.

The focus of the Multicriteria Optimization and Decision Analysis (MODA) group is to develop foundations of methods in multi-objective optimization.

The objective is to develop in vitro antigen degradation assays in order to mimic the fate of the antigen in vivo.

Explore "Analysis of Repeated Measurements" at Boerhaave Nascholing. Learn statistical methods for correlated data in time. Read more here.

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

This thesis is based on five papers on several topics.

Systems pharmacology aims to apply techniques from systems biology to pharmacological models.

Analysis of neuroimaging data requires multiple steps where statistics play a crucial role. The MRI methods research group develops new statistical methods that are accurate, transparent and easy to use.

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

Science, Leiden Institute of Advanced Computer Science (LIACS)

A research data infrastructure in computational social science

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

This study is a critical discourse analysis of the misogynistic narratives shared by three incel violent extremists.

Promotor: Prof.dr. E. Deprettere

This MA explores contemporary literature and culture—art, film, pop music—through critical and theoretical lenses, including feminist theory, phenomenology, and ecocriticism. Key themes include diversity, interculturality, popular culture, and the intersection of culture, politics, and justice.

Can we develop a platform for raw materials intelligence?