1,004 search results for “machine archeologie” in the Public website
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Alle sporen Leiden naar Oss
Festival
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chromophores - a platform for light responsive nanosystems and molecular machines
Lecture
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EPP meta-measure and rethinking machine learning benchmarks: A recipe for meta-learning success?
Lecture
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Machine Learning and Deep Learning Approaches for Multivariate Time Series Prediction and Anomaly Detection
PhD defence
- SAILS Lunch Time Seminar: Machine learning for spatio-temporal datasets + SAILS data observatory
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Current PhD Research Projects
PhD Research Projects at LUCDH and Affiliated Faculties
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Svetlana Gorshenina will be the Central Asia Visiting Scholar in February 2018
Svetlana Gorshenina, Associate Lecturer at Collège de France, Paris, will be the Central Asia Visiting Scholar from 17 February until 25 February 2018. Svetlana Gorshenina will deliver a guest lecture on Tuesday, 20 February and a masterclass on Friday, 23 February within the Central Asia Initiative…
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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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Staff
The Cyber Security lecturers are scholars and lecturers of Leiden University, Delft University of Technology and The Hague University of Applied Sciences.
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Strategic research into and development of best practice for, predictive modelling on behalf of Dutch Cultural Resource Management
Are predictive archaeological maps a reliable tool to play an important role in the spatial planning? One of the goals of this project was to develop best practices for the production and application of the models.
- 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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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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Computer Science at Leiden University
Leiden Institute of Advanced Computer Science (LIACS)
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Water
Leiden University is committed to reducing our water consumption.
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Household Robots : Training Datasets & the Politics of Categories
Lecture, Film Screening + Q&A
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Automated Machine Learning for Dynamic Energy Management using Time-Series Data
PhD defence
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sarcoma and non-sarcoma clinical data with statistical methods and machine learning techniques
PhD defence
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Multimodal Data and Machine Learning in the Study of Psychiatric Disorders
PhD defence
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after anterior cervical discectomy: From inferential statistics to Machine Learning
PhD defence
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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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Information-theoretic Partition-based Models for Interpretable Machine Learning
PhD defence
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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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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.
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Algorithms and Software Technology
The Algorithms and Software Technology (AST) research programme performs fundamental research in the areas of algorithm design and analysis.
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Computer Systems, Imagery & media
The Computer Systems, Imagery & media (CSI) research programme performs research on methods and techniques for the design, implementation and application of advanced computer systems, in particular parallel, distributed and embedded computer systems.
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SnelliusNiels Bohrweg 1, Leiden
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After graduation
The Bachelor's degree trains future computer scientists in the fields of Data Science and Artificial Intelligence. When you graduate you will be ready for a range of career options.
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About the programme
The two-year Artificial Intelligence programme (120 EC) includes mandatory core courses and electives, as well as a Master's Thesis Research Project.
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About the programme
The two-year Data Science: Computer Science programme consists of 120 European Credit Transfer System (EC) points and includes courses and electives as well as a Master's Thesis Research Project.
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About the programme
The two-year Bioinformatics programme (120 EC) includes mandatory core courses and electives, as well as a Master's Thesis Research Project.