334 search results for “machine learning” in the Staff website
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Hongchang Shan
Science
h.shan@liacs.leidenuniv.nl | +31 71 527 7491
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Julian Karch
Faculteit der Sociale Wetenschappen
j.d.karch@fsw.leidenuniv.nl | +31 71 527 3493
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Mert Yazan
Science
m.yazan@liacs.leidenuniv.nl | +31 71 527 2727
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Jan van Rijn
Science
j.n.van.rijn@liacs.leidenuniv.nl | +31 71 527 7492
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Niki van Stein
Science
n.van.stein@liacs.leidenuniv.nl | +31 71 527 2727
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Bertram de Boer
Science
b.f.de.boer@cml.leidenuniv.nl | +31 71 527 2727
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Tom Wilderjans
Faculteit der Sociale Wetenschappen
t.f.wilderjans@fsw.leidenuniv.nl | +31 71 527 6058
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Md Faysal Tareq
Science
m.f.tareq@cml.leidenuniv.nl | +31 71 527 2727
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Nuno De Mesquita César de Sá
Science
n.q.de.mesquita.cesar.de.sa@cml.leidenuniv.nl | +31 71 527 2727
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Computational speedups and learnability in quantum machine learning
PhD defence
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Reliable and Fair Machine Learning for Risk Assessment
PhD defence
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Machine Learning and Computer Vision for Urban Drainage Inspections
PhD defence
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From data to discoveries: machine learning and optimization in space
Lecture
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European grant to advance self-learning capabilities of quantum computers
A major grant for research into machine learning algorithms for quantum computers. With this ERC Consolidator grant, Vedran Dunjko and his colleagues hope to discover which real-world problems a quantum computer can solve faster than a normal one.
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Algorithms combat environmental pollution from ships
Did you know that algorithms can help with the prevention of air pollution and ships sinking in the sea? A team of Leiden University researchers have worked together with the Dutch Ministry of Infrastructure and Water Management to look in data-driven inspection of ships. In this interview, Gerrit Jan…
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Yolinde van Paridon
Faculteit der Sociale Wetenschappen
y.van.paridon.3@fsw.leidenuniv.nl | +31 71 527 1488
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Yingjie Fan
Science
y.fan@liacs.leidenuniv.nl | +31 71 527 4799
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Jian Wang
Faculteit der Sociale Wetenschappen
j.wang@cwts.leidenuniv.nl | +31 71 527 2727
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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
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Babak Rezaeedaryakenari
Faculteit der Sociale Wetenschappen
s.rezaeedaryakenari@fsw.leidenuniv.nl | +31 70 800 3687
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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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Automated Machine Learning for Dynamic Energy Management using Time-Series Data
PhD defence
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Andreas Sauter
Science
a.w.m.sauter@liacs.leidenuniv.nl | +31 71 527 4799
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Kim Stroet
Faculteit der Sociale Wetenschappen
k.f.a.stroet@fsw.leidenuniv.nl | +31 71 527 3955
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Siuman Chung
Faculteit der Sociale Wetenschappen
s.chung@fsw.leidenuniv.nl | +31 71 527 3830
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Christine Espin
Faculteit der Sociale Wetenschappen
espinca@fsw.leidenuniv.nl | +31 71 527 6630
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Elise Swart
Faculteit der Sociale Wetenschappen
e.k.swart@fsw.leidenuniv.nl | +31 71 527 2727
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Marit Guda
Faculteit der Sociale Wetenschappen
m.c.guda@fsw.leidenuniv.nl | +31 71 527 6344
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Blended learning
Blended learning is a well-thought-out mix of online and on-campus learning, tailored to the learning objectives, the curriculum and the student. It contributes to the student’s learning experience and the quality of teaching.
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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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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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Flexible learning pathways
Flexible learning pathways are one of the ambitions of our vision on teaching and learning (Learning@LeidenUniversity).
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Learning Experience Design
Didactics
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Activating teaching and learning
Activating teaching and learning is one of the ambitions of our vision on teaching and learning (Learning@LeidenUniversity).
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The Awaretrain learning platform
Do you want to improve your knowledge about privacy and working securely? And make sure that you never get caught out by a phishing e-mail, and that your passwords are strong? Then start working through the cybersecurity and privacy e-learning modules on Awaretrain.
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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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Tools for interactive learning
Active learning is one of the ambitions mentioned in the University’s educational vision (Learning@LeidenUniversity).
- Active learning spaces
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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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Vision on teaching and learning
Leiden University’s vision on teaching and learning expresses where our emphasis lies in teaching students and which new and existing requirements we apply to our curriculum and learning environment. This vision offers a long-term perspective for developing education and marks the start of a process…
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Learning and development
University Leiden encourages its employees to use and develop their talents. We do this by supporting you in your career and in your personal and professional development. We try to ensure that you get the opportunity to realise your full potential.
- Teaching & supporting the learning process
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Algorithms descend into our sewers to improve inspections
They never cross our minds until, that is, they become damaged and then they’re a huge problem: our sewers. Their maintenance could be much faster and more accurate, PhD candidate Dirk Meijer has discovered. Algorithms are also proving to be a godsend deep underground.
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Brightspace, the digital learning environment
Brightspace is the heart of the University’s digital learning environment. Lecturers can use Brightspace to support a lecture or course with digital resources. They can post assignments, lecture slides and literature in the same place and keep them up to date, giving students access to all their teaching…
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Risk bounds for deep learning
PhD defence