1,353 search results for “machine learning” in the Public website
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POST_SIGNATURE
To what extent is creative ownership in contemporary (graphic) design practices changing now that we are co-creating with machines? And can machines have copyrights, too?
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Language as a time machine
About 90 per cent of Austronesian and Papuan languages are under threat of soon becoming extinct. Marian Klamer is the only professor in the world who researches both these language groups. She records languages before they disappear and sheds new light on the history of Indonesia. Inaugural lecture…
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Ben van Werkhoven
Science
b.j.c.van.werkhoven@liacs.leidenuniv.nl | +31 71 527 2727
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Pingtao Ding
Science
p.ding@biology.leidenuniv.nl | +31 71 527 5306
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Thomas Bäck
Science
t.h.w.baeck@liacs.leidenuniv.nl | +31 71 527 7108
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By Heritage Quest
Read all papers and other types of publication created by the project.
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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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Inauguration computer cluster GRACE at LIACS
By making two final network connections and entering a command, Martijn Ridderbos (Deputy Chairman of the Executive Board) , Geert de Snoo (Dean of the Faculty of Science) and Bart Hoogervorst (Head of Department Operations ICT Shared Service Centre) ceremonially booted up the university’s latest supercomputer,…
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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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Self-directed learning with mobile technology in higher education
Language learners in higher education increasingly conduct out-of-class self-directed learning facilitated by mobile technology. This project aims to explore how university students use mobile technology for their self-directed language learning and investigate factors that influence their self-directed…
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Collaborative learning in teacher education: Intended, implemented and experienced curriculum
How is collaborative learning in teacher education designed and implemented? How do students experience those collaborative learning assignments? What aspects of the design and the implementation lead to which perceived learning outcomes?
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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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Marco Spruit wants to develop a language model to improve healthcare
By making smart use of available data, the health and care of people can be substantially improved. Marco Spruit wants to use language and machine learning in the coming years to identify and solve the biggest care issues in the region of The Hague. He has been appointed Professor of Advanced Data Science…
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Student engagement in blended learning in higher education
In what way can teachers support and enlarge student engagement in a blended learning context?
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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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Two ERC Consolidator Grants for Leiden researchers
Research on quantum computers and Islamic charities: two Leiden researchers have received a Consolidator Grant from the European Research Council.
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Professional learning
Would you like to develop further and be challenged academically in your field or beyond? The Faculty of Humanities offers a wide range of courses to boost your career, learn new skills or broaden your knowledge.
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University teachers’ learning paths during technological innovation of education
To what extent are university teachers' individual learning paths influenced by their teaching experience, motivation, and conceptions of teaching and learning through educational technology?
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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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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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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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Active Learning Network
The active learning network joins together everyone interested in the subject to move the theme further within Leiden University. The SALTSWAT pilot program researches the ways forward for Leiden University.
- Meet our staff
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Beth Lloyd
Faculteit der Sociale Wetenschappen
b.lloyd@fsw.leidenuniv.nl | +31 71 527 2727
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Dineke Tigelaar
ICLON
dtigelaar@iclon.leidenuniv.nl | +31 71 527 6552
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Wilfried Admiraal
ICLON
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Joseph Blythe
Faculteit der Sociale Wetenschappen
j.s.blythe@fsw.leidenuniv.nl | +31 71 527 2727
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Activating teaching and learning
The active learning ambition is based on the idea that knowledge is more likely to ‘stick’ when students are actively engaged with their learning and research. This active student participation has implications for how we teach: less consumption of knowledge and more efficient use of contact hours.
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Flexible learning pathways
The ambition to have flexible learning pathways is about creating possibilities to improve the content and form of students’ learning process, and to link learning to students’ needs. Students who have access to a flexible range of learning pathways can align their university career with their own personal…
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Object-based learning in science museums
How do museum visitors interpret the authenticity of museum objects? How can we support visitors' meaningful interactions with real objects?
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Centre for Professional Learning
The Centre for Professional Learning (CPL) develops in-depth and challenging programmes for higher educated professionals.
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Neurogenomics of vocal learning
How does FoxP1 affect auditory perception on a behavioural and genomic level?
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Searching by Learning: Exploring Artificial General Intelligence on Small Board Games by Deep Reinforcement Learning
In deep reinforcement learning, searching and learning techniques are two important components. They can be used independently and in combination to deal with different problems in AI, and have achieved impressive results in game playing and robotics. These results have inspired research into artificial…
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The quantum computer: it doesn't exist yet, but still we understand increasingly better what problems it can solve
How do we know what a quantum computer is good for when it hasn't been built yet? That's what PhD candidate Casper Gyurik investigated by combining two terms you often hear: quantum computing and machine learning.
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Language Learning Resource Centre
The language learning resource centre unites all language teaching professionals working at Leiden University: teachers and researchers at the LUCL, ATC, LUCAS, LIAS, and ICLON.
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Learn to Dare!
The ‘Leer te Durven!’ program (Learn to Dare) is a preventive training program for children with mild anxiety symptoms (Simon & Bögels, 2014). The program has been developed for children between the ages of 8 and 12 who feel or behave anxiously, avoid situations, are afraid of doing things wrong, appear…
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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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Development of Machine Learning-Derived Digital Biomarkers for Trial@Home Clinical Trials
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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Leiden Learning & Innovation Centre
LLInC supports innovative and high-quality education, within Leiden University and in partnership with academic and social organisations.
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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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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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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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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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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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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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Centre for Professional Learning
This page is currently only available in Dutch. Click here to view this page in Dutch.
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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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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?