2,029 search results for “van data near inzichten” in the Public website
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Donna de GroeneFaculty of Archaeology
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Maria HadjigavrielFaculty of Archaeology
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Data use, online consumer needs, business strategies and regulatory response
This project aims to explore and examine the factors that impact upon the efficacy of information disclosure duties pertaining to customer data use in online business.
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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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Vincent Croft-Faculty of Science
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The Safaitic scripts
Palaeography of an ancient nomadic writing culture
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learning algorithm for prediction and generation of High-Energy Physics data
Assistant Professor Vedran Dunjko and his team received a gift from Google to support their quantum research. The research focuses on whether quantum computers can provide new ways of understanding the mysteries of high-energy physics.
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Accessing End-Of-Supply Risk of Spare Parts Using Big Data
How to access the end-of-supply risk of spare pares using big data analytics
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From Sasanian Mandaeans to Sabians of the Marshes
This historical study argues that the Mandaean religion originated under Sasanid rule in the fifth century, not earlier as has been widely accepted. It analyzes primary sources in Syriac, Mandaic, and Arabic to clarify the early history of Mandaeism.
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Rob TijdemanFaculty of Science
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Joost van den BergFaculty of Humanities
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Jacqueline MeulmanFaculty of Science
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Data mining and algorithm development
Due to the modern techniques of combinatorial chemistry and high-throughput screening, data on the biological activity of many millions of compounds is known. However, it is still very difficult to transfer this data into knowledge: if we know that compounds A and B bind to a certain protein with high…
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Risk bounds for deep learning
In this thesis, deep learning is studied from a statistical perspective. Convergence rates for the worst case risk bounds of neural network estimators are obtained in the classification, density estimation and linear regression model.
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Van Marum Colloquia
The "Van Marum Colloquia" are a collaborative lecture series between the LION and LIC institutes, focusing on fundamental and applied surface science.
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EU privacy and data protection law applied to AI
On 23 April, Andreas Häuselmann defended the thesis 'EU privacy and data protection law applied to AI: unveiling the legal problems for individuals'. The doctoral research was supervised by Gerrit-Jan Zwenne and Bart Custers.
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Frank TakesFaculty of Science
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Jaap-Willem MinkSocial & Behavioural Sciences
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From Single Sign to Pseudo-Script
An Ancient Egyptian System of Workmen’s Identity Marks
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Data science and sports: a winning combination
Athletes always strive for the top. How can data scientists assist them in improving their performance? During the seminar Data Science and Sports, the possibilities and challenges of collaboration between these two worlds were discussed.
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Bastienne VriesendorpFaculty of Science
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Shruti JainFaculty of Science
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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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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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Tracing Policy-relevant Information in Social Media: The Case of Twitter before and during the COVID-19 Crisis
This paper written by Vydra and Kantorowicz answers the research question ‘What policy-relevant information does Twitter contain?’ as well as the research question ‘How does this information change between a period of normalcy and a period of crisis?’
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Wouter Verschoof-van der VaartFaculty of Archaeology
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Joan van der Waals colloquium
The Joan van der Waals colloquium is an ongoing bi-weekly lecture series.
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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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Fatma ÇapkurtFaculty of Law
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Mobile peoples - permanent places
This dissertation is a study of archaeological remains left behind by nomadic communities in the Black Desert, situated in the northeast of modern Jordan.
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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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Understanding Homicide in Indonesia: Harnessing Traditional and New Media Data for Insight
To what extent is it possible to utilise traditional and new media data to examine and understand the nature and scope of homicide in Indonesia?
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Kiana ShahrasbiFaculty of Science
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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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Van SteenisEinsteinweg 2, Leiden
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Mirko ForastiereFaculty of Science
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Gabriel Spautz VieiraFaculty of Archaeology
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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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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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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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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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China, een gids voor de 21e eeuw
China wordt steeds assertiever in zijn relaties met andere landen, maar achter dit beeld gaat een opmerkelijk diverse maatschappij en politieke realiteit schuil die tal van aanknopingspunten biedt voor samenwerking en verdere integratie van China in de wereld. In China een gids voor de 21e eeuw past…
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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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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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Simone van der Hof gives keynote about 'Data Protection and Children's Rights' in Amsterdam
On 15 February 2018, Simone van der Hof gave a keynote lecture entitled 'Data Protection and Children's Rights - the reasoning behind the protective provisions for children in the GDPR' at the International School of Amsterdam conference on Strategic marketing & communications for international scho…
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Sport Data Center
Sport Data Center
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Helena VrabecFaculty of Law
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Daniel ValeFaculty of Law