1,898 zoekresultaten voor “blondel learning” in de Publieke website
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Urban Waste Learning Hub: Challenge-Based Education in Waste Studies
Hoe kan challenge-based learning in het hoger onderwijs bijdragen aan duurzaam stedelijk afvalbeheer en de transitie van Den Haag naar een zero-waste stad in 2050 ondersteunen?
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Self-directed language learning using mobile technology in higher education
Hoe gebruiken studenten mobiele technologie voor hun zelfsturende taalleren? Welke factoren beïnvloeden hun zelfgestuurd leren met mobiele technologie?
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Deep learning for vascular segmentation and tissue characterization in CT images
Promotie
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Automated Quality Assurance of Deep Learning Contours in Head-and- Neck Radiotherapy
Promotie
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Matthias Müller-BrockhausenWiskunde en Natuurwetenschappen
m.f.t.muller-brockhausen@liacs.leidenuniv.nl | +31 71 527 2727
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Julia WasalaWiskunde en Natuurwetenschappen
j.wasala@liacs.leidenuniv.nl | +31 71 527 4799
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Separating quantum and classical computing: rigorous proof and practical application
This thesis probes under what conditions quantum computing presents an advantage over classical computing.
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Computer interventions for young children at risk to prevent reading impairments
This study’s main aim is to test whether children’s learning behaviour explains why they do not benefit from a literate environment.
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Sietse SchröderWiskunde en Natuurwetenschappen
s.schroder@liacs.leidenuniv.nl | 071 5272727
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Beurs ‘Integrated Learning’ voor Daan Weggemans
Begin maart 2020 heeft het Nationaal Regieorgaan Praktijkgericht Onderzoek SIA (Regieorgaan SIA), onderdeel van NWO, een onderzoeksbeurs toegekend aan Daan Weggemans van het Institute of Security and Global Affairs.
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Modelling the interactions of advanced micro- and nanoparticles with novel entities
Novel entities may pose risks to humans and the environment. The small particle size and relatively large surface area of micro- and nanoparticles (MNPs) make them capable of adsorbing other novel entities, leading to the formation of aggregated contamination.
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Wouter van LoonFaculteit der Sociale Wetenschappen
w.s.van.loon@fsw.leidenuniv.nl | +31 71 527 2727
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Michael LewWiskunde en Natuurwetenschappen
m.s.lew@liacs.leidenuniv.nl | +31 71 527 7034
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Multi-dimensional feature and data mining
In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.
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Exploring big data approaches in the context of early stage clinical
Als gevolg van de grote technologische vooruitgang in de gezondheidszorg worden in toenemende mate gegevens verzameld tijdens de uitvoering van klinische onderzoeken.
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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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From pixels to patterns: AI-driven image analysis in multiple domains
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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Hoe een e-learning scripties makkelijker maakt voor docenten én studenten
In de rubriek ‘Onderwijsheden’ delen Psychologiedocenten hun belangrijkste inzichten over college geven. Deze maand: Laura Nawijn ontwikkelt met collega’s een e-learning om de scriptiebegeleiding van klinische psychologiestudenten te verbeteren. ‘Je wilt de handjes van studenten niet gaan vasthouden,…
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Workshop "Teaching and Learning Greek in Byzantium" (October 4)
Andrea Cuomo (Ghent University), Baukje van den Berg (Central European University), and Katharina Preindl (Ghent University) are pleased to invite you to the workshop "Teaching and Learning Greek in Byzantium 2: Learning and Using Vocabulary in Byzantium and Beyond" on Friday October 4 at Ghent University…
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On the efficacy of digitized storybooks for young learners with attention problems
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Andreas SauterWiskunde en Natuurwetenschappen
a.w.m.sauter@liacs.leidenuniv.nl | +31 71 527 4799
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To explore the drug space smarter: Artificial intelligence in drug design for G protein-coupled receptors
Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…
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Call for papers: Classical learning in medieval Europe (IMC 2025)
Ivo Wolsing (Leiden), Jacqueline Burek (George Mason University) and Lottie Thompson (Durham) are organizing a panel on Classical Learning in Medieval Europe at Leeds International Medieval Congress 2025. You are invited to submit an abstract by September 15.
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The added value of multimedia to repeated story book reading in preschool age
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An Update and Expansion of a Meta-Analysis on Shared Book Reading
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investigation of physics teachers' belief systems about teaching and learning physics
Dit proefschrift omvat vier deelstudies naar de inhoud en structuur van de opvattingssystemen van natuurkundedocenten over het leren en onderwijzen van natuurkunde in het voortgezet onderwijs (VO) in Nederland.
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Learning from nature: using plant-soil feedback principles to improve growth and health of a horticultural crop
Plants and soils from natural ecosystems harbor great diversity of soil microorganisms, which could potentially contribute to the sustainability of horticulture. The knowledge about using wild plant species and soil from natural ecosystem to improve the crop health will advance the application of ecological…
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Frans RodenburgWiskunde en Natuurwetenschappen
f.j.rodenburg@biology.leidenuniv.nl | +31 71 527 2727
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Alan Kai HassenWiskunde en Natuurwetenschappen
a.k.hassen@liacs.leidenuniv.nl | +31 71 527 4799
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Model-assisted robust optimization for continuous black-box problems
Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.
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Aske PlaatWiskunde en Natuurwetenschappen
a.plaat@liacs.leidenuniv.nl | +31 71 527 7065
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Centre for Professional Learning organiseert eerste online masterclass
Op 11 en 18 juni organiseert het Centre for Professional Learning (CPL) voor het eerst een twee-daagse online masterclass: De nieuwe Public Affairs Professional - de effectieve beïnvloeder in post-coronatijd. De masterclass wordt eigenlijk twee keer per jaar in Den Haag gegeven, maar is deze editie…
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On the optimization of imaging pipelines
In this thesis, topics relating to the optimization of high-throughput pipelines used for imaging are discussed. In particular, different levels of implementation, i.e., conceptual, software, and hardware, are discussed and the thesis outlines how advances on each level need to be made to make gains…
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Methods and Tools for Mining Multivariate Time Series
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.
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Algorithm selection and configuration for Noisy Intermediate Scale Quantum methods for industrial applications
Quantum hardware comes with a different computing paradigm and new ways to tackle applications. Much effort has to be put into understanding how to leverage this technology to give real-world advantages in areas of interest for industries such as combinatorial optimization or machine learning.
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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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Nederlandse Hogeronderwijspremie 2022: tweede prijs voor The Learning Mindset
Het onderwijsteam achter The Learning Mindset (TLM) van het Leiden University College heeft 800.000 euro gewonnen tijdens de uitreiking van de Nederlandse Hogeronderwijspremie 2022. Het team eindigde als tweede achter het team van Universiteit Twente. De prijs wordt jaarlijks uitgereikt tijdens het…
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EJLS symposium editorial : is fairness in digital governance a trap?
In dit artikel onderzoeken Barrie Sander en zijn collega's of eerlijkheid in digitaal bestuur onbedoeld structurele ongelijkheden verankert.
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Philipp KropfWiskunde en Natuurwetenschappen
p.kropf@cml.leidenuniv.nl | +31 71 527 2727
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I-Fan LinWiskunde en Natuurwetenschappen
i.lin@liacs.leidenuniv.nl | +31 71 527 2727
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André Mesquita Fery AntunesWiskunde en Natuurwetenschappen
a.r.mesquita.fery.antunes@liacs.leidenuniv.nl | +31 71 527 2727
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Numerical exploration of statistical physics
In this thesis, we examine various systems through the lens of several numerical methods.
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Unraveling temporal processes using probabilistic graphical models
Real-life processes are characterized by dynamics involving time. Examples are walking, sleeping, disease progress in medical treatment, and events in a workflow.
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Environmental sustainability of NdFeB magnet recycling: foresight study on recycling systems and technologies
The demand for neodymium-iron-boron (NdFeB) magnets is rapidly growing, while the neodymium supply chain is under pressure. Recycling can alleviate these issues. This thesis investigates the potential for deploying novel magnet recycling technologies and their environmental consequences.
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Björn van ZwolWiskunde en Natuurwetenschappen
b.e.van.zwol@liacs.leidenuniv.nl | 071 5272727
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Robust rules for prediction and description.
In this work, we attempt to answer the question:
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Anna Dawid-LekowskaWiskunde en Natuurwetenschappen
a.m.dawid@liacs.leidenuniv.nl | +31 71 527 2727
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Becoming Literate by Means of the internet
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Challenges of New Media for the Development of Early Literacy Skills in Children at Risk
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Ancient Storage and AI
Lezing, Digital Archaeology Group