951 zoekresultaten voor “deep learning” in de Publieke website
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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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Robust rules for prediction and description.
In this work, we attempt to answer the question:
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Postdoc: Reactive scattering with electronic friction
Wiskunde en Natuurwetenschappen, Leids Instituut voor Chemisch Onderzoek (LIC)
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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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anterior cervical discectomy: From inferential statistics to Machine Learning
Promotie
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Vincent Croft-
Wiskunde en Natuurwetenschappen
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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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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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Data Science
Het merendeel van de wetenschappers, van archeologen tot zoölogen, verzamelt enorme hoeveelheden gegevens. Hun databanken bevatten grote hoeveelheden informatie die voor de mens moeilijk te filteren zijn. Met een stevige basis in de statistiek en de computerwetenschappen kunnen we algoritmes ontwikkelen…
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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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Faint Quasars at Very Low Frequencies
In this thesis, we use low-frequency and high-frequency radio observations to address the following questions regarding quasars: is the radio loud/quiet quasar dichotomy real?
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LIACS alumnus receives ACM Multimedia Rising Star Award
Former PhD student of the Leiden Institute of Advanced Computer Science (LIACS) Bart Thomee has received this year’s Rising Star Award from the Multimedia group of ACM, the worldwide computer science association. Today, Thomee is a successful researcher at Yahoo Labs.
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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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Evert van Nieuwenburg
Wiskunde en Natuurwetenschappen
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Matthijs van Leeuwen
Wiskunde en Natuurwetenschappen
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Becoming Literate by Means of the internet
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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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Rebekah Tromblé
Students Practicing Citizen Journalism
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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.
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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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Topology and Geometry in Chiral Liquids
We study the interplay of topology and geometry with chirality for several passive and active systems, employing both analytical and numerical methods.
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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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‘SAILS zorgt ervoor dat ik me goed ingebed voel in een AI-community’
Het Leidse interdisciplinaire onderzoeksprogramma SAILS bekostigt jonge interdisciplinaire wetenschappers die werken op het snijvlak van AI en andere vakgebieden. Onderzoeker Matthijs Westera vertelt over zijn ervaringen met werken binnen SAILS en de Universiteit Leiden.
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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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Foam rheology near the jamming transition
Promotor: Prof.dr. M.L. van Heck, Co-Promotor: B.P. Tighe
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Latency, Energy, and Schedulability of Real-Time Embedded Systems
Systems are called real-time systems, if the correctness of the system does not only depend on the correctness of the system output but also on whether the output is delivered on time.
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Evin Aktar
Faculteit der Sociale Wetenschappen
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Elise Swart
Faculteit der Sociale Wetenschappen
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Cosima Nimphy
Faculteit der Sociale Wetenschappen
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Surendra Balraadjsing
Wiskunde en Natuurwetenschappen
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Sparsity-Based Algorithms for Inverse Problems
Inverse problems are problems where we want to estimate the values of certain parameters of a system given observations of the system. Such problems occur in several areas of science and engineering. Inverse problems are often ill-posed, which means that the observations of the system do not uniquely…
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Online Course International Humanitarian Law
In this course, you will gain a deep insight into the rules that govern armed conflict, and aim to mitigate human suffering on the battlefield. You will explore the why and how of International Humanitarian Law, followed by the different types of conflict.
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2 Assistant Professors in Generative AI and Human-centered AI
Wiskunde en Natuurwetenschappen, Leiden Institute of Advanced Computer Science (LIACS)
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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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Automated de novo metabolite identification with mass spectrometry and cheminformatics
Promotor: T. Hankemeier, Co-Promotores: T. Reijmers, L. Coulier
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Active Learning
Didactiek
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Knowledge Extraction from Archives of Natural History Collections
Natural history collections provide invaluable sources for researchers with different disciplinary backgrounds, aspiring to study the geographical distribution of flora and fauna across the globe as well as other evolutionary processes.