414 zoekresultaten voor “network” in de Publieke website
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Exploring Deep Learning for Intelligent Image Retrieval
This thesis mainly focuses on cross-modal retrieval and single-modal image retrieval via deep learning methods, i.e. by using deep convolutional neural networks.
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'NETWORKS goes to school' geeft leerlingen introductie in wetenschap achter netwerken
In 2018 organiseerde NETWORKS een succesvolle masterclass voor middelbare schoolleerlingen over netwerken en de toepassingen daarvan, onder the titel 'NETWORKS goes to school'. Deze week publiceerde NETWORKS de een verzameling van bijdragen met een uitgebreide introductie. Het doel van zowel de masterclass…
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Kennismaken met Seif Kabil, voorzitter International Young Leiden Law Alumni Network
Seif Kabil is de nieuwe voorzitter van het International Young Leiden Law Alumni Network.
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Derde jaarlijkse ‘Law and Development Research Network’-conferentie 19 t/m 21 september 2018
Van 19 t/m 21 september werd de derde jaarlijkse ‘Law and Development Research Network’-conferentie gehouden in het Museum Volkenkunde in Leiden.
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Moritz Jesse over BREXIT tijdens Global Legal Network Conferentie in Tallinn
Moritz Jesse, Universitair Hoofddocent voor Europees recht, aan het Europa Instituut sprak op de jaarlijkse conferentie van de Global Legal Network in Tallinn, die in november in Tallin (Estland) plaatsvond.
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kent 10-jarige onderzoeksbudget toe aan het onderzoeksconsortium ‘Networks’
Een 10-jarig onderzoeksbudget is toegekend vanuit het NWO Zwaartekracht Programma aan Professor Frank den Hollander, tezamen met collega’s van de Universiteit van Amsterdam, het Centrum voor Wiskunde en Informatica en de Technische Universiteit Eindhoven.
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Deep learning for tomographic reconstruction with limited data
Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.
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Quantum machine learning: on the design, trainability and noise-robustness of near-term algorithms
This thesis addresses questions on effectively using variational quantum circuits for machine learning tasks.
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De verzamelwoede van Martinus van Marum (1750-1837) en de ouderdom van de aarde
Promotor: F.J. van Lunteren, E. Jorin
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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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Annelot Bosman
Wiskunde en Natuurwetenschappen
a.w.bosman@liacs.leidenuniv.nl | +31 71 527 4799
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Akrati Saxena
Wiskunde en Natuurwetenschappen
a.saxena@liacs.leidenuniv.nl | +31 71 527 2727
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Understanding deep meta-learning
The invention of neural networks marks a critical milestone in the pursuit of true artificial intelligence. Despite their impressive performance on various tasks, these networks face limitations in learning efficiently as they are often trained from scratch.
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Matchmaking for open innovation: perspectives on multi-sided markets
Promotores: Prof.dr. B.R. Katzy, Prof.dr. K. Sailer (Munich University)
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Stochastic resetting and hierarchical synchronisation
Stochastic resetting is simple enough to be approached analytically, yet modifies stochastic processes in a non-trivial way.
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Machine learning and computer vision for urban drainage inspections
Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.
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LinkedIn: profile and network (English)
Loopbaan en solliciteren
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Squaramide-based supramolecular materials for 3D cell culture applications
A new type of tripodal squaramide-based supramolecular hydrogels is developed and studied.
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Safe anytime-valid inference: from theory to implementation in psychiatry research
Classical statistical methods, such as p-values, are difficult for researchers to apply correctly. They for example do not allow drawing conclusions from a study early, or for extending a study with extra research groups that want to make their data available later.
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Long term dynamics of stochastic evolution equations
Promotor: S.M. Verduyn Lunel, Co-promotor: O. van Gaans
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Large scale visual search
Promotor: J.N. Kok, Co-promotor: M.S. Lew
- Call for Papers - Networks of Manuscripts
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Leiden University Medical Anthropology Network (LUMAN) launch
Festival, Network Launch
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Impact of plant domestication on spermosphere and rhizosphere microbiome composition
Microbiome composition of the spermosphere and the rhizosphere of wild and modern bean accessions grown in an agricultural and a native soil from Colombia was characterized by metagenomics and cultivation-dependent approaches.
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Mirko Forastiere
Wiskunde en Natuurwetenschappen
m.forastiere@cml.leidenuniv.nl | +31 71 527 2727
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Emilia Hannula
Wiskunde en Natuurwetenschappen
s.e.hannula@cml.leidenuniv.nl | +31 71 527 7489
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Jiaxin Zhang
Wiskunde en Natuurwetenschappen
j.z.zhang@cml.leidenuniv.nl | +31 71 527 2727
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Beyond random and forbidden interactions : how optimizing energy gain results in morphological matching among subalpine Asteraceae and their
Plants and their pollinators form complex interaction networks. Within these networks, species differ widely in the number of species they interact with.
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Complex Patterns in Streams
The goal of the project is the development of stream mining techniques for complex patterns such as graphs. We will try to extend the existing state-of-the-art techniques into two, orthogonal directions: on the one hand, the mining of more complex patterns in streams, such as sequential patterns and…
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Constraint-Based Analysis of Business Process Models
Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.
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Accurate modeling of the dynamics of dissociative chemisorption on metal surfaces
Fundamental understanding of molecular reactions on metal surfaces is important for improving heterogeneous catalysis.
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Netwerk
Het Leiden Leadership Centre is een internationale en interdisciplinaire netwerkorganisatie. In onze aanpak brengen we mensen met verschillende achtergronden en diverse perspectieven samen
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LCN2 Seminar: Geometric Representations of Complementarity-Driven Networks
Lezing
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Research Assistant
Geesteswetenschappen, Instituut voor Geschiedenis
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High-throughput simulation studies of angiogenesis - Reverse engineering the role of tip cells and pericytes in vascular development
Promotor: Prof.dr. R.M.H. Merks
- ELS lab meeting – Methodology session on social network analysis
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Waar gehakt wordt, zie je sporen
Tom Breukel onderzocht zo’n 250 stenen bijlen uit het Caribisch gebied en reconstrueerde de levensloop van deze objecten. Het levert meer kennis op over productie en handel in de periode rond de komst van Columbus. Promotie op 18 april.
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Una Europa webinar: Building Global Networks through Heritage
Webinar
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Netwerken en community
Het Expertisebureau Diversiteit en Inclusie staat in nauw contact met verschillende studenten- en medewerkersnetwerken op het gebied van diversiteit en inclusie.
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Microbial communities in Pampa soils; impact of land use changes, soil type and climatic conditions
Promotor: J.A. van Veen, Co-promotor: E.E. Kuramae
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EU H2020 RISE Social Media Analytics
LIACS is a partner in RISE_SMA, an interdisciplinary, international network combining excellent scholars and practitioners to enable vigorous knowledge sharing and to develop solutions for contemporary challenges for Social Media Analytics (SMA).
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Image-based phenotypic screening for breast cancer metastasis drug target discovery
The main aim of this thesis was to unravel the signaling and regulatory networks that drive tumor cell migration during breast cancer metastasis.
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LCN2 Seminars
Een maandelijks seminar over complexe netwerken, gericht op wetenschappers uit alle disciplines.
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Structural Health Monitoring Meets Data Mining
Promotor: Prof.dr. J.N. Kok, Co-promotor: A.J. Knobbe
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Picturing Intimacy: Mediation and Self-representation in a Boston’s Religious Festivals
Taking as a point of departure the Italian American community in Boston and its process of collective remembrance surrounding Saint Anthony’s Feast, we addressing the limits and potential of montage.
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Samenwerking
Healthy University Leiden werkt nauw samen met Nederlandse Healthy Universities en hogescholen, als ook in internationaal verband.
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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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Spectral signatures of breaking of ensemble equivalence
This thesis explores Breaking of Ensemble Equivalence (BEE) in random graph models by examining the spectral properties of adjacency matrices. The goal is to identify spectral characteristics that differentiate random graph ensembles, enhancing the understanding of complex network structures and beh…
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De onderzoekers
Quantum Leiden doet onderzoek naar verschillende thema's. Dit onderzoek wordt uitgevoerd door onderzoekers vanuit verschillende instituten binnen de faculteit Wiskunde en Natuurwetenschappen. Op de onderstaande pagina's kunt u een overzicht van deze onderzoekers vinden.
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NETHATE
NETHATE is een Marie Skłodowska-Curie Actions (MSCA) project waarin de oorzaken, maatschappelijke impact en mitigatiestrategieën van haat in online en offline forums worden onderzocht.