954 zoekresultaten voor “learning” in de Publieke website
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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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Daan Pelt brengt de theorie en praktijk van Deep Learning dichterbij elkaar
De theoretische wereld van wiskunde en informatica naar meer toegepaste onderzoeksgebieden brengen. Dat is wat Daan Pelt, universitair docent bij het Leiden Institute of Advanced Computer Science (LIACS) probeert te bereiken met de methodes die hij ontwikkelt als oplossing voor uitdagingen in beeldv…
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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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Collaboration across borders: virtual learning between Leiden University College and Myanmar
Jyothi Thrivikraman set up a Virtual International Collaboration project with a university in Myanmar.
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Learn Anywhere: meer flexibiliteit met als doel gelijke leerervaring voor studenten in zaal en online
Drie zalen in Wijnhaven zijn gedurende de zomer ingericht met geavanceerde apparatuur en onderwijssystemen om zo goed mogelijk hybride les te kunnen geven vanaf het nieuwe collegejaar: de pilot Learn Anywhere gaat van start bij FGGA.
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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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Suzan Verberne in de Volkskrant over nieuwe vertaaltechnologieën
Een intelligente vertaalmachine gebaseerd op nieuwe ontwikkelingen in machine learning gaat de concurrentie aan met grote vertaalservices als die van Google. Maar ook Google maakt grote vorderingen sinds het is het is overgestapt op deep learning, aldus informatica-onderzoeker Suzan Verberne in de V…
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Wouter van Loon
Faculteit der Sociale Wetenschappen
w.s.van.loon@fsw.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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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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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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Active Learning
Didactiek
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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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Are we there yet? Advances in anytime-valid methods for hypothesis testing and prediction
Statistical considerations guide the design and implementation of the experiments that scientists perform. For instance, in a clinical trial about a the efficacy of a treatment, its effect in a certain minimum amount of patients has to be observed in order to make confident assertions about the efficacy…
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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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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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Aske Plaat
Wiskunde en Natuurwetenschappen
a.plaat@liacs.leidenuniv.nl | +31 71 527 7065
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Robust rules for prediction and description.
In this work, we attempt to answer the question:
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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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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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Chen Li
Wiskunde en Natuurwetenschappen
c.li@cml.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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Early educational interventions with computer programmes: the influence of genetic and neurobiological factors
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Philipp Kropf
Wiskunde en Natuurwetenschappen
p.kropf@cml.leidenuniv.nl | +31 71 527 2727
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I-Fan Lin
Wiskunde en Natuurwetenschappen
i.lin@liacs.leidenuniv.nl | +31 71 527 2727
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André Mesquita Fery Antunes
Wiskunde en Natuurwetenschappen
a.r.mesquita.fery.antunes@liacs.leidenuniv.nl | +31 71 527 2727
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Simon Marshall
Wiskunde en Natuurwetenschappen
s.c.marshall@liacs.leidenuniv.nl | +31 71 527 2727
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Tom Kouwenhoven
Wiskunde en Natuurwetenschappen
t.kouwenhoven@liacs.leidenuniv.nl | +31 71 527 4799
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Fatemeh Mehrafrooz Mayvan
Wiskunde en Natuurwetenschappen
f.mehrafrooz.mayvan@liacs.leidenuniv.nl | +31 71 527 2727
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Chenyu Shi
Wiskunde en Natuurwetenschappen
c.shi@liacs.leidenuniv.nl | +31 71 527 2727
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Fons Verbeek
Wiskunde en Natuurwetenschappen
f.j.verbeek@liacs.leidenuniv.nl | +31 71 527 5773
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Alan Kai Hassen
Wiskunde en Natuurwetenschappen
a.k.hassen@liacs.leidenuniv.nl | +31 71 527 4799
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Vincent Croft-
Wiskunde en Natuurwetenschappen
v.a.croft@liacs.leidenuniv.nl | +31 71 527 4799
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Anna Dawid
Wiskunde en Natuurwetenschappen
a.m.dawid@liacs.leidenuniv.nl | +31 71 527 2727
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Singing is silver, hearing is gold: impacts of local FoxP1 knockdowns on auditory perception and gene expression in female zebra finches
The experiments described in this thesis employ local lentiviral knockdowns in brain areas of female zebra finches followed by behavioural assays consisting of preference and Go/Nogo tasks.
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*Gecanceld* Mini Symposium: Reinforcement Learning
Lezing
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Evert van Nieuwenburg
Wiskunde en Natuurwetenschappen
e.p.l.van.nieuwenburg@liacs.leidenuniv.nl | +31 71 527 5523
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Matthijs van Leeuwen
Wiskunde en Natuurwetenschappen
m.van.leeuwen@liacs.leidenuniv.nl | +31 71 527 7048
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Using cryo-EM methods to uncover structure and function of bacteriophages
Bacteriophages, or phages for short, are the most abundant biological entity in nature. They shape bacterial communities and are a major driving force in bacterial evolution.
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Filter-based reconstruction methods for tomography
Promotor: K.J. Batenburg
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Automated de novo metabolite identification with mass spectrometry and cheminformatics
Promotor: T. Hankemeier, Co-Promotores: T. Reijmers, L. Coulier
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Calculated Moves: Generating Air Combat Behaviour
By training with virtual opponents known as computer generated forces (CGFs), trainee fighter pilots can build the experience necessary for air combat operations, at a fraction of the cost of training with real aircraft.
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Novel analytical approaches to characterize particles in biopharmaceuticals
Particles are omnipresent in biopharmaceutical products. In protein-based therapeutics such particles are generally associated with impurities, either derived from the drug product itself (e.g. protein aggregates), or from extrinsic contaminations (e.g. cellulose fibers).
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Applied Machine Learning in Neurosurgical Oncology
Promotie
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Deep Learning for Online Adaptive Radiotherapy
Promotie