1,041 zoekresultaten voor “learning” in de Publieke website
-
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…
-
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.
-
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…
-
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.
-
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.
-
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…
-
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…
-
Wouter van LoonFaculteit der Sociale Wetenschappen
-
The added value of multimedia to repeated story book reading in preschool age
-
-
An Update and Expansion of a Meta-Analysis on Shared Book Reading
-
-
On the efficacy of digitized storybooks for young learners with attention problems
-
-
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'
-
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…
-
Numerical exploration of statistical physics
In this thesis, we examine various systems through the lens of several numerical methods.
-
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…
-
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.
-
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.
-
Aske PlaatWiskunde en Natuurwetenschappen
-
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…
-
Active Learning
Didactiek
-
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.
-
Robust rules for prediction and description.
In this work, we attempt to answer the question:
-
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.
-
Pattern mining for label ranking
Promotor: J.N. Kok, Co-promotor: C.M. Soares, A.J. Knobbe
-
Resource allocation in networks via coalitional games
Promotor: F. Arbab, R. De Nicola, Co-Promotor: M. Tribastone
-
Alan Kai HassenWiskunde en Natuurwetenschappen
-
Vincent Croft-Wiskunde en Natuurwetenschappen
-
Fons VerbeekWiskunde en Natuurwetenschappen
-
Anna Dawid-LekowskaWiskunde en Natuurwetenschappen
-
Philipp KropfWiskunde en Natuurwetenschappen
-
I-Fan LinWiskunde en Natuurwetenschappen
-
André Mesquita Fery AntunesWiskunde en Natuurwetenschappen
-
Tom KouwenhovenWiskunde en Natuurwetenschappen
-
Fatemeh Mehrafrooz MayvanWiskunde en Natuurwetenschappen
-
Chenyu ShiWiskunde en Natuurwetenschappen
-
Simon MarshallWiskunde en Natuurwetenschappen
-
Becoming Literate by Means of the internet
-
-
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.
-
Grip on software: understanding development progress of SCRUM sprints and backlogs
Software development is a complex process. It is important that software products become stable and maintainable assets.
-
Het verbeteren van LLA-literatuuronderwijs door CLIL en disciplinaire geletterdheid
Hoe kan een CLIL-aanpak, met een focus op Disciplinary Literacies, het literatuuronderwijs van het LLA-programma in de bovenbouw van TTO verbeteren?
-
Challenges of New Media for the Development of Early Literacy Skills in Children at Risk
-
-
Early educational interventions with computer programmes: the influence of genetic and neurobiological factors
-
-
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.
-
Matthijs van LeeuwenWiskunde en Natuurwetenschappen
-
Evert van NieuwenburgWiskunde en Natuurwetenschappen
-
*Gecanceld* Mini Symposium: Reinforcement Learning
Lezing
-
Automated de novo metabolite identification with mass spectrometry and cheminformatics
Promotor: T. Hankemeier, Co-Promotores: T. Reijmers, L. Coulier
-
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.
-
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).
-
Filter-based reconstruction methods for tomography
Promotor: K.J. Batenburg