636 search results for “machine archeologie” in the Public website
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Algorithms for quantum software
Top scientists of three Dutch universities are working on software and systems for quantum computers. Researchers of the Leiden Institute of Advanced Computer Science (LIACS) and the Leiden Institute of Physics (LION) are developing new algorithms to make those super computers work. The coming years,…
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History
Life Sciences Artificial Intelligence Data Science
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Small Grants 2024 Research Projects
The LUCDH foster the development of new digital research by awarding a number of Small Grants each year. As in previous years the LUCDH received a large number of excellent grant applications for Research and Personal Development funds. Congratulations to the recipients of this year's research award…
- Week 2: 13-19 January 2019
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Applied statistics as a pillar of data science
Data science is now growing fast in many places, but scholars at Leiden University have been developing data science techniques for a long time already. Thanks to their broad-based expertise, Leiden statisticians are currently combining the achievements in statistics with the latest methods of statistical…
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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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Evaluation of Different Design Space Description Methods for Analysing Combustion Engine Operation Limits
Promotor: Prof.dr. T.H.W. Bäck
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Yingjie Fan
Science
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Jian Wang
Faculteit der Sociale Wetenschappen
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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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Data Science
The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.
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LTP Lecture Machine Learning in Science: Just a toy?
Lecture
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Protein motions revealed by paramagnetic NMR spectroscopy
Hass
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Rural Riches
The bottom-up development of post-Roman northwestern Europe
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Opgezogen, opgespoten en opgeraapt: Vuurstenen en hardstenen artefacten van de Zandmotor en hun sedimentaire context
Voor zowel archeologen, paleontologen en geologen als vrijwilligers in de archeologie en paleontologie is het geen verrassing meer dat op de stranden van de Nederlandse kust fraaie vondsten gedaan kunnen worden. Vele artikelen, boeken, tentoonstellingen, congressen, lezingen, ‘zoekdagen’, krantenberichten,…
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Computational Network Science Lab
The Leiden Computational Network Science Lab (CNS Lab) researches methods for knowledge discovery from real-world network data.
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By Heritage Quest
Read all papers and other types of publication created by the project.
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Ada Lovelace Distinguished Lecture Series
The Ada Lovelace Distinguished Lecture Series brings outstanding computer scientists from around the world to Leiden University. The lecturers will share exciting ideas and results from the forefront of computer science.
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Artificial Intelligence (MSc)
The master’s specialisation Artificial Intelligence offers future-oriented topics in computer science with a focus on machine learning, optimization algorithms, and decision support techniques.
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Data Science: Computer Science (MSc)
The master's specialisation Data Science: Computer Science at Leiden University provides students thorough knowledge and understanding of statistical and computational aspects of data analysis, including their application in databases, advances in data mining, networks, pattern recognition, and deep…
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Radiomics-based machine learning classification of bone chondrosarcoma
PhD defence
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Research
At Leiden University, researchers from all disciplines work together to find answers and design innovations in the field of artificial intelligence.
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Research in Physics, Classical/Quantum Information (MSc)
This master’s programme combines Physics with Data Science. You will learn how physics has its own tricks to deal with big data and how techniques from machine learning and deep learning can be applied to classical and quantum data. The first focus of attention is on classical data, including data mining,…
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Data science
The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…
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Bayesian uncertainty quantication in complex models
The aim of this project is to determine in which cases uncertainty statements resulting from a Bayesian statistical analysis can be trusted.
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Data Mining and Sports
Collecting data in sports increased in importance the last few years.
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Quantum Lab (aQa)
Quantum computing is a novel paradigm for computation, which is nearing real-world impact with the coming generation of limited, but nonetheless powerful quantum devices.
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Babak Rezaeedaryakenari
Faculteit der Sociale Wetenschappen
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XAIPRE - Explainable AI For Predictive Maintenance
The project XAIPre (pronounce “Xyper”) aims to develop predictive maintenance system for the maritime industry using sensor technology and artificial intelligence. The project aims at developing Explainable Predictive Maintenance (XPdM) algorithms that do not only provide the engineers with a prediction…
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Statistical Science
The research programme Statistical Science is concerned with the analysis and interpretation of masses of data, the quantification of uncertainty using probability models, and the development and benchmarking of algorithms and methods with these aims.
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Research project: Unravelling the Rule of Law
While acknowledging prominent legal-philosophical debates, this project proposes a radically different approach to provide insights into the concept of the rule of law.
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To explore the drug space smarter: Artificial intelligence in drug design for G protein-coupled receptors
Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…
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CIMPLO – Maintenance prediction for industries
Researchers of the Leiden Institute of Advanced Computer Science (LIACS) have started a 4 year project on developing a system that sends out automatic alerts when components from engines are showing first signs of fatigue.
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Special edition Information Polity
In this special edition of Information Polity there is a focus on the transparency challenges of using algorithms in government in decision-making procedures at the macro-, meso-, and micro-levels.
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Pursuing new anti-cancer therapy as a team
Cancer is the leading cause of death in the Netherlands, and, with over 100 different types of cancer, it’s not a simple disease. Today, skin, breast, lung, prostate and colon cancer are the most diagnosed forms. Therefore, the discovery and development of new drugs has the ability to significantly…
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Why Leiden University?
You gain a strong foundation in computer science, combined with knowledge of machine learning, cognitive science, human-robot interaction. You will learn to develop and program systems based on knowledge of the human brain.
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MAPHSA - Mapping the Archaeological Pre-Columbian Heritage in South America
The archaeological heritage of South America is facing increasing threats due to the expansion of agricultural activities, infrastructure expansion, illegal wood harvesting, and the current fire emergency plaguing the Amazon and other biomes of the continent.
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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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chromophores - a platform for light responsive nanosystems and molecular machines
Lecture
- SAILS Lunch Time Seminar: Machine learning for spatio-temporal datasets + SAILS data observatory