880 search results for “personal data” in the Public website
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Wouter van Loon
Faculteit der Sociale Wetenschappen
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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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Personal ornaments: changing identities in the Dutch Neolithic and Bronze Age
Numerous beads and pendants of amber, jet and bone have been found in Dutch Neolithic and Bronze Age context, both in settlements and in graves. Because ornaments are personal items, they are closely linked with people’s identity.
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Value-based and data-driven vestibular schwannoma care
PhD defence
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On the psychology and economics of antisocial personality
Using an interdisciplinary experimental approach grounded in behavioral economics and personality psychology, we identify an antisocial personality profile and examine its role across strategic contexts.
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Ine Alberts
Bestuursbureau
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Tineke Rutgers
Bestuursbureau
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The flux and flow of data: connecting large datasets with machine learning in a drug discovery envirionment
This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…
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Based Clustering of Objects on Subsets of Attributes in High-Dimensional Data
This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.
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VODAN Africa – FAIR Covid-19 Data across Africa and Asia
VODAN Africa started as a platform to enable access to critical data needed from Africa to fight the novel COVID-19. The initiative was inspired by the experience from the Liberia Ebola Virus outbreak in 2014: early detection requires contact tracing. Inclusion of the most vulnerable is critical to…
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Causal Discovery from High-Dimensional Data in the Large-Sample Limit
Developing robust algorithms and theory for establishing cause-effect relationships from observational data that scale up to large data sets
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The Right to Travel by Air of Persons with Disabilities
On Thursday 16 November 2017, Lalin Kovudhikulrungsri defended her doctoral thesis entitled ‘The Right to Travel by Air of Persons with Disabilities’. The supervisors are Professor P.M.J. Mendes de Leon and Professor A.C. Hendriks.
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Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
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Design and development of a comprehensive data management platform for cytomics: cytomicsDB
Promotor: J.N. Kok, Co-promotor: F.J. Verbeek
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the automated detection of archaeological objects in remotely sensed data
Generally the data from remote sensing surveys - the scanning of the earth by satellite or aircraft in order to obtain information about it - is screened manually in archaeology. However, constant monitoring of the earth's surface causes a huge influx of data of high complexity and high quality. To…
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Sources of Meaning among organized non-religious ‘secular’ persons
Recently, studies have shown the similarities and differences in sources of meaning between religionists, ‘nones’ and atheists (see several studies of Schnell and others). The present study that will be conducted in three European countries tries to clarify the relationship between meaning giving and…
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Monitoring drug-related homicides: An assessment of existing data sources and potential for future monitoring
This project’s aim is to critically assess current homicide data sources in order to develop a proposal for long-term EU-level monitoring of DRH.
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Making policy with big data
Governments have increasing amounts of data at their disposal. How can big data be used in policymaking? And are governments ready to deal with all this data? That is what Sarah Giest, Assistant Professor at the Institute of Public Administration, is interested in.
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Stacked Domain Learning for multi-domain data: a new ensemble method
The aim of this project is to develop accurate but interpretable ensemble learning methods for high-dimensional multi-domain data.
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Modelling the dynamics of the innovation process: a data-driven agent-based approach
Promotor: Prof.dr. B.R. Katzy, Co-promotor: R. Ortt
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Visual analytics for spatially-resolved omics data at single cell resolution: Methods and Applications
The deeper understanding of an organism's pathology is important for developing treatments. Over centuries of systematic research, clinical researchers have demonstrated that the more information they acquire about the cellular properties and their organisation in the tissue, the better they can understand…
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Cor Veenman
Science
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Helena Vrabec
Faculteit Rechtsgeleerdheid
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Vincent Croft-
Science
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Jaap-Willem Mink
Faculteit der Sociale Wetenschappen
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Nees Jan van Eck
Faculteit der Sociale Wetenschappen
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Daniel Vale
Faculteit Rechtsgeleerdheid
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Julian Karch
Faculteit der Sociale Wetenschappen
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Frank Takes
Science
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A new era for nature conservation using hyperspectral and lidar data; Oostvaardersplassen as a case study
This project aims to develop advanced data analysis methods for monitoring and increasing our understanding on biodiversity dynamics in nature reserves such as the Oostvaardersplassen.
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Discrimination and Privacy in the Information Society; Data Mining and Profiling in Large Databases
Latest technological developments in data mining and profiling.
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National Culture and Africa Revisited: Ethnolinguistic Group Data From 35 African Countries
This study seeks to partially fill the knowledge gap about national culture in Africa, basing its research on data on ethnolinguistic groups (instead of administrative regions).
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Transforming data into knowledge for intelligent decision-making in early drug discovery
Promotor: A.P.IJzerman Co-promotor: A. Bender
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Integrating data to learn more
Tremendous amounts of data are generated in scientific research each day. Most of this data has more potential than we are using now, says Katy Wolstencroft, assistant professor in bioinformatics and computer science. We just need to integrate and manage it better.
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Sport Data Center
Sport Data Center
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Personal experience narratives in three West African sign languages
On the 27th of February, Marta Morgado successfully defended a doctoral thesis. The Leiden University Centre for Linguistics congratulates Marta on this achievement!
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learning-based NO2 estimation from seagoing ships using TROPOMI/S5P satellite data
The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.
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RISIS – Research infrastructures for the assessment of science, technology and innovation policy
The RISIS project aims at creating a distributed research infrastructure to support and advance science and innovation studies. This will give the field a strong scientific push forward, and at the same time, provide a radically improved evidence base for research and innovation policies, for research…
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Richard Gill
Science
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Jacq Meulman
Science
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Rob Tijdeman
Science
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Somayeh Djafari
Faculteit Rechtsgeleerdheid
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Mason Marks
Faculteit Rechtsgeleerdheid
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Jenneke Evers
Faculteit Rechtsgeleerdheid
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Simon van Lierde
Science
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Bastienne Vriesendorp
Science
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Barend Mons
Faculteit Geneeskunde
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Max van Haastrecht
Science
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Development of organ-on-a-chip systems for translational and personalized medicine
We have developed a microfluidic platform for complex 3D organotypic cell cultures (so-called organ-on-a-chip systems) which are suited for integration in 96 or higher well plate format.
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analysis of cultural landscapes through remote and close range sensing data
What workflow of non-destructive techniques provides accurate, valuable data to improve our understanding of Caribbean archaeological landscapes? How were Amerindian settlements configured?