591 search results for “machine” in the Public website
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Transforming data into knowledge for intelligent decision-making in early drug discovery
Promotor: A.P.IJzerman Co-promotor: A. Bender
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LTP Lecture Machine Learning in Science: Just a toy?
Lecture
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Florence Nightingale Colloquium
Here you can find the recordings of previous Florence Nightingale Colloquia.
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The Hybrid Intelligence Centre
Hybrid Intelligence (HI) is the combination of human and machine intelligence, expanding human intellect instead of replacing it. HI takes human expertise and intentionality into account when making meaningful decisions and perform appropriate actions, together with ethical, legal and societal values.…
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Radiomics-based machine learning classification of bone chondrosarcoma
PhD defence
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Tessa Verhoef: 'An algorithm still has a lot to learn from human interaction'
If an algorithm has to learn to understand language, simply having a lot of data doesn’t help much. Like us, a computer has to learn the language in interaction with others. Tessa Verhoef is fascinated by how this interaction works.
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Scientific computing for Drug Discovery in Python and/or R
Data analysis with Python and R are rapidly becoming essential skills for modern scientists. Therefore, we are offering courses to develop your scientific computing skills. Those courses are optional for LACDR PhD candidates.
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Computational Linguistics
In this theme you will be supplied with a firm background in the core of current computational linguistics and a solid comprehension of its neighboring fields.
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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…
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Hunting for the fastest stars in the Milky Way
The high velocity tail of the total velocity distribution of stars provides essential insight into fundamental properties of the Galaxy.
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Interactive scalable condensation of reverse engineered UML class diagrams for software comprehension
Promotores: Prof.dr. J.N. Kok, Prof.dr. M.R.V. Chaudron, Co-Promotor: P. van der Putten
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Sparsity-Based Algorithms for Inverse Problems
Inverse problems are problems where we want to estimate the values of certain parameters of a system given observations of the system. Such problems occur in several areas of science and engineering. Inverse problems are often ill-posed, which means that the observations of the system do not uniquely…
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On the optimization of imaging pipelines
In this thesis, topics relating to the optimization of high-throughput pipelines used for imaging are discussed. In particular, different levels of implementation, i.e., conceptual, software, and hardware, are discussed and the thesis outlines how advances on each level need to be made to make gains…
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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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Elise Dusseldorp
Faculteit der Sociale Wetenschappen
elise.dusseldorp@fsw.leidenuniv.nl | +31 71 527 8046
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Guillermo Guerrero Egido
Science
g.guerrero.egido@biology.leidenuniv.nl | +31 71 527 4791
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Marjolein Fokkema
Faculteit der Sociale Wetenschappen
m.fokkema@fsw.leidenuniv.nl | +31 71 527 7996
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Vasilii Bokov
Science
v.bokov@liacs.leidenuniv.nl | +31 71 527 2727
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Alina Karakanta
Faculty of Humanities
a.karakanta@hum.leidenuniv.nl | +31 71 527 2978
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Felix Frohnert
Science
f.frohnert@liacs.leidenuniv.nl | +31 71 527 2727
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Roozbeh Siyadatzadeh
Science
s.r.siyadatzadeh@liacs.leidenuniv.nl | +31 71 527 4799
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Julian Steinke
Faculteit der Sociale Wetenschappen
j.steinke@fsw.leidenuniv.nl | +31 71 527 2727
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Vincent Croft-
Science
v.a.croft@liacs.leidenuniv.nl | +31 71 527 4799
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Daniel Vale
Faculteit Rechtsgeleerdheid
d.s.vale@law.leidenuniv.nl | +31 71 527 8838
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Dovile Rimkute
Faculty Governance and Global Affairs
d.rimkute@fgga.leidenuniv.nl | +31 70 800 9067
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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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Fons Verbeek
Science
f.j.verbeek@liacs.leidenuniv.nl | +31 71 527 5773
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Michael Lew
Science
m.s.lew@liacs.leidenuniv.nl | +31 71 527 7034
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Ruchella Kock
Faculteit der Sociale Wetenschappen
r.m.d.kock@fsw.leidenuniv.nl | +31 71 527 2727
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Jan van Rijn
Science
j.n.van.rijn@liacs.leidenuniv.nl | +31 71 527 2727
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Matt Young
Faculty Governance and Global Affairs
m.m.young@fgga.leidenuniv.nl | +31 70 800 9400
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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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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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Protein motions revealed by paramagnetic NMR spectroscopy
Hass
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Towards High Performance and Efficient Brain Computer Interface Character Speller: Convolutional Neural Network based Methods
A P300-based Brain Computer Interface character speller, also known as P300 speller, has been an important communication pathway, under extensive research, for people who lose motor ability, such as patients with Amyotrophic Lateral Sclerosis or spinal-cord injury because a P300 speller allows human-beings…
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Niki van Stein
Science
n.van.stein@liacs.leidenuniv.nl | +31 71 527 2727
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Matthijs van Leeuwen
Science
m.van.leeuwen@liacs.leidenuniv.nl | +31 71 527 7048
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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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Evert van Nieuwenburg
Science
e.p.l.van.nieuwenburg@liacs.leidenuniv.nl | +31 71 527 5523
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Bertram de Boer
Science
b.f.de.boer@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 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.