911 search results for “machine” in the Public website
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Machine learning-based NO2 estimation from seagoing ships using TROPOMI/S5P satellite data
PhD defence
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Development of Machine Learning-Derived Digital Biomarkers for Trial@Home Clinical Trials
PhD defence
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The search for a ‘quantum advantage’
Proving a quantum computer to be quicker than a normal one is one step closer. After a breakthrough in speeding up classical algorithms, researchers Vedran Dunjko and Casper Gyurik showed that only one quantum algorithm could beat its classical counterpart. They discuss their discovery in Quanta Mag…
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The δ-machine: A new competitive and interpretable classifier based on dissimilarities
Does the δ-machine have higher accuracy than the other feature-based classifiers in some conditions?
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Automated detection
The results of the investigations by citizens are used in an innovative research project that investigates the potential of machine learning and automated detection in archaeology.
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Tactics of Interfacing Encoding Affect in Art and Technology
How digital technologies affect the way we conceive of the self and its relation to the world, considered through the lens of media art practices.
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Stefan Semrau Lab - Quantitative Single-Cell Biology
We study cell-fate decision-making using embryonic stem cells as a model system. Stem cells integrate a large number of cues to direct their development into a great variety of cell types.
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Explainatory Data Analysis
The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.
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Non-Abelian metamaterials: emergent computing and memory
In the traditional theory of linear elasticity, superposition dictates that the response of a material does not depend on the sequence of the applied mechanical actuations.
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We offer
As a scientific partner, the Sport Data Center offers (sports) organisations a wide range of services.
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Self-assembly of Colloidal Particles
The miniaturization of machines towards the micron and nanoscale requires the development of joint-like elements that enable and constrain motion. We developed a facile method to create colloidal joints, that is, anisotropic colloidal particles functionalized with surface mobile DNA linkers that control…
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Sports and exam centre
The new sports center, which will also be used as an examination center, will be located at the Campus Square.
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Multi-angle DLS Facility
Multi-Angle Dynamic Light Scattering (MADLS) is a technique that is used to determine properties of particles in suspension. The measurements give the hydrodynamic size distribution of individual particles as well as particle clusters, and assists in the interpretation of the stability of the particles…
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Digital Humanities
Learn new ways to analyse and study cultures and languages and provides insight into how digital methods and artificial intelligence (AI) are changing our personal lives and societies in the minor Digital Humanities and Artificial Intelligence.
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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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Developing methods on remote sensing detection of archaeological features in Colombia with LDE grant
A Leiden-Delft-Erasmus research team has been awarded a LDE Global Support Grant to develop reusable algorithms in the remote detection of non-orthogonal architectural features, taking place in the archaeological context of the northern extremities of the Andean, part of the Istmo-Colombian Area.
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Tim van Erven makes computers even smarter
In high school, Tim van Erven read about an artificially intelligent algorithm that could solve mazes. From that moment on, he was sold: ‘There’s something magical about algorithms. With a list of fixed rules you can make them learn the most diverse things.’ This year, he won a Vidi grant, which he…
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Current PhD Research Projects
PhD Research Projects at LUCDH and Affiliated Faculties
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AI recognizes anxious youth based on their brain structure
A unique multicenter study, including about 3,500 youth between 10 and 25 years old from across the globe, shows that artificial intelligence - specifically machine learning - is able to identify individuals with anxiety disorders based on their unique brain structure.
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Making problem solving more efficient
The recently promoted Hao Wang from the Leiden Institute of Advanced Computer Science teaches computer programmes how to solve real-world problems. His goal is to make the process of problem-solving more efficient. On 1 November, he obtained his doctorate with the predicate cum laude. ‘I hope to solve…
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Yingjie Fan
Science
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Jian Wang
Faculteit der Sociale Wetenschappen
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Science
The Faculty of Science
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Waste Separation
What is better for waste recycling: a plastic, paper or ceramic cup? A bio-based or fossil-based coating? Waste sorting at the source or at a recycling facility? Ask ten experts and you will get ten different opinions. We can all agree on one thing: doing nothing is not an option. Thus, Leiden University…
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From Data to insight
Social science research helps us understand human behaviour and social structures. These are determined by various factors, which makes the research complex and increases the likelihood of drawing the wrong conclusions. The choice of research method and analysis is therefore extremely important. It…
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Publications and output
Here you'll find selected publications and media attention from our group.
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Data Science
The majority of scientists, from archaeologists through to zoologists, collect huge volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics, we can develop algorithms for analysing and identifying patterns…
- About this minor
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Postdoc: Reactive scattering with electronic friction
Science, Leiden Institute of Chemistry (LIC)
- Week 1: 8–13 January
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The promise of organization. Political associations, 1820-1890, debate and practice
The central theme of the NWO-project ‘The Promise of Organization’ is the evolution of political organization during the 19th century. We focus on the enthusiasm, arguments and concrete activities of the organizers as well as the criticism offered by opponents of modern political organization.
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Water
Leiden University is committed to reducing our water consumption.
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Cryotomographic visualization of symbiosis initiation in the Euprymna scolopes-Vibrio fischeri association
The overall aim of this project is to understand, on the molecular level, how the bacterium V. fischeri cells interacts with their squid host.
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NExt ApplicationS of Quantum Computing (NEASQC)
The NEASQC project brings together academic experts and industrial end-users to investigate and develop a new breed of Quantum-enabled applications that can take advantage of NISQ (Noise Intermediate-Scale Quantum) systems in the near future. NEASQC is use-case driven, addressing practical problems…
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AiChemist project
The AiChemist project (https://aichemist.eu) coordinated by Helmholtz Munich is an Innovative Doctoral Training Network funded through the Marie Skłodowska-Curie Actions (MSCA-DN) within the EU Horizon Research Framework, to the sum of €3 million. It brings together leading experts in AI, chemoinformatics…
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TAILOR - Trustworthy AI through the integration of learning
The quest for Trustworthy AI is high on both the political and the research agenda, and it actually constitutes TAILOR’s first research objective (H1) of developing the foundations for Trustworthy AI. It is concerned with designing and developing AI systems that incorporate the safeguards that make…
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About us
Data Science
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Education
The Leiden Institute of Advanced Computer Science (LIACS) offers bachelor and master level education in computer science at Leiden University. We are known for our scientifically based education and for our open atmosphere.
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The interpretation of physical activity wearable data and its relation with metabolic and brain health in older adults
Quantifying physical activity (using accelerometers) and combining the frequency and intensity of activities with health data (brain MRI, traditional clinical parameters and metabolomics) is of utmost importance to monitor mobility and health among older individuals and study health promotion during…
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Coffee Cups Petition
Leiden University uses enormous amounts of disposable cups every day.
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Bayesian learning: challenges, limitations and pragmatics
This dissertation is about Bayesian learning from data. How can humans and computers learn from data?
- Jordi Tura Group (Applied Quantum Algorithms)
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From methanol to medicine – Sustainable microbial production of polyketide antibiotics
Can the pink-pigmented microbe Methylobacterium extorquens be genetically engineered to convert the sustainable raw material methanol into antibiotics?
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Digital tools for sign language research: towards recognition and comparison of lexical signs
On the 9th of April, Manolis Fragkiadakis successfully defended a doctoral thesis. The Leiden University Centre for Linguistics congratulates Manolis on this achievement!
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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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FAIR data
Open Science means not only sharing final research results but also the underlying data. A main way to do that is by making research data FAIR: Findable, Accessible, Interoperable and Reusable.
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Withstanding the cold: energy feedback in simulations of galaxies that include a cold interstellar medium
Understanding how galaxies form, interact, and evolve comes largely from comparing theory predictions with observational data. Numerical simulations of galaxies provide the most accurate approach to testing the theory, as they follow the non-linear evolution of gas and dark matter in great detail and…
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Exploring Images With Deep Learning for Classification, Retrieval and Synthesis
In 2018, the number of mobile phone users will reach about 4.9 billion. Assuming an average of 5 photos taken per day using the built-in cameras would result in about 9 trillion photos annually.
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Strategy
The Division of Systems Pharmacology and Pharmacy (SPP) aims to develop precision medicine approaches to characterize and predict variation in treatment response and enhance translational drug development strategies.
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Research
The programme group Research Methods and Statistics offers support to researchers from a variety of research projects within Education and Child Studies.