849 zoekresultaten voor “gravitational learning” in de Publieke website
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Simon Portegies Zwart in de Volkskrant over nieuw Jupitermaantje
Valetudo, zo hebben de astronomen het nieuw ontdekte Jupitermaantje genoemd. Het is een weerbarstig exemplaar dat dwars tegen haar soortgenoten in beweegt. In de Volkskrant reageert Leidse astronoom Simon Portegies Zwart op de bijzondere ontdekking.
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Nurbolat Kenbayev
Wiskunde en Natuurwetenschappen
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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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Frans Rodenburg
Wiskunde en Natuurwetenschappen
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Applications of AdS/CFT to strongly correlated matter: from numerics to experiments
What physics controls the properties of quantum matter, such as how electrons flow inside high-temperature superconductors? This question has captivated the physics community and industry for decades, in part due to the great technological potential such materials have, but also because they have resisted…
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Enlightening the Primordial Dark Ages
This thesis is dedicated to the exploration of the primordial dark ages: unknown physics during the earliest stages of the Universe’s expansion that have not yet been directly probed by observations. Cosmic inflation is a burst of exponential expansion of space after the “Big Bang”.
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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 Loon
Faculteit der Sociale Wetenschappen
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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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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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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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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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Aske Plaat
Wiskunde en Natuurwetenschappen
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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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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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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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Robust rules for prediction and description.
In this work, we attempt to answer the question:
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An Update and Expansion of a Meta-Analysis on Shared Book Reading
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On the efficacy of digitized storybooks for young learners with attention problems
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The added value of multimedia to repeated story book reading in preschool age
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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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Numerical exploration of statistical physics
In this thesis, we examine various systems through the lens of several numerical methods.
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Fons Verbeek
Wiskunde en Natuurwetenschappen
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Alan Kai Hassen
Wiskunde en Natuurwetenschappen
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Vincent Croft-
Wiskunde en Natuurwetenschappen
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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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Data-Driven Risk Assessment in Infrastructure Networks
Leiden University and the Ministry of Infrastructure and Water Management are involved in a collaboration in the form of a research project titled 'Data-Driven Risk Assessment in Infrastructure Networks'
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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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Resource allocation in networks via coalitional games
Promotor: F. Arbab, R. De Nicola, Co-Promotor: M. Tribastone
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Pattern mining for label ranking
Promotor: J.N. Kok, Co-promotor: C.M. Soares, A.J. Knobbe
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Philipp Kropf
Wiskunde en Natuurwetenschappen
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I-Fan Lin
Wiskunde en Natuurwetenschappen
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André Mesquita Fery Antunes
Wiskunde en Natuurwetenschappen
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Simon Marshall
Wiskunde en Natuurwetenschappen
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Tom Kouwenhoven
Wiskunde en Natuurwetenschappen
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Fatemeh Mehrafrooz Mayvan
Wiskunde en Natuurwetenschappen
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Vacancy: PhD "Libraries as Links in Learning: Making the Meaning of Manuscripts"
Leiden University Centre for the Arts in Society (LUCAS) invites applications for a PhD position within the project ‘Libraries as Links in Learning: Making the Meaning of Manuscripts’ (1.0 fte, 4 years). The PhD candidate will track changing professional and scholarly practices and attitudes towards…
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Chen Li
Wiskunde en Natuurwetenschappen
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Data-driven donation strategies: understanding and predicting blood donor deferral
The research in this dissertation aims to optimise blood donation processes in the framework of the Dutch national blood bank Sanquin. The primary health risk for blood donors is iron deficiency, which is evaluated based on donors' hemoglobin and ferritin levels.
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Aspects of cosmic acceleration
The focus of the dissertation
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Giant galactic outflows and shocks in the Cosmic Web
The radio sky harbours both galactic and extragalactic sources of arcminute- to degree-scale emission of various physical origins. To discover extragalactic diffuse emission in the Cosmic Web beyond galaxy clusters, one must image low–surface brightness structures amidst a sea of brighter compact fore-…
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Magnetic Resonance Force Microscopy and the Spin Bath
There are many interpretations of quantum mechanics, and ultimately experiments are needed to verify or falsify these interpretations.
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From supernovae to galaxy clusters: observing the chemical enrichment in the hot intra-cluster medium
Promotor: Jelle S. Kaastra Co-promotor: Jelle de Plaa
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Becoming Literate by Means of the internet
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Evert van Nieuwenburg
Wiskunde en Natuurwetenschappen
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Matthijs van Leeuwen
Wiskunde en Natuurwetenschappen
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Alumnus Robert Ietswaart: 'Machine learning leidt tot een revolutie in de medicijnontwikkeling'
Robert Ietswaart doet bij de befaamde Harvard Medical School in Boston onderzoek naar humane genregulatie. Hij ontwikkelde een machine learning-algoritme om beter te kunnen voorspellen of een kandidaatmedicijn bijwerkingen kan gaan vertonen. Ietswaart studeerde wiskunde en natuurkunde in Leiden, en…
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Challenges of New Media for the Development of Early Literacy Skills in Children at Risk
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Early educational interventions with computer programmes: the influence of genetic and neurobiological factors
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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.