1,353 search results for “machine learning” in the Public website
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Gerard van Westen
Science
gerard@lacdr.leidenuniv.nl | +31 71 527 3511
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Rayyan Toutounji
Faculteit der Sociale Wetenschappen
r.toutounji@fsw.leidenuniv.nl | +31 71 527 2727
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Guilherme D'Andrea Curra
Faculteit Archeologie
g.dandrea.curra@arch.leidenuniv.nl | +31 71 527 2727
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Diego Barbosa Arize Santos
Faculteit der Sociale Wetenschappen
d.barbosa.arize.santos@fsw.leidenuniv.nl | +31 71 527 2727
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Self-learning machines for better understanding of the universe
Bright explosions appear all over the radio and gravitational-wave sky. This dynamic side of the universe which has just been discovered, can be mapped by self-learning machines. The National Science Agenda granted 5 million euro’s to CORTEX, the Center for Optimal, Real-Time Machine Studies of the…
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Spectral imaging and tomographic reconstruction methods for industrial applications
Radiography is an important technique to inspect objects, with applications in airports and hospitals. X-ray imaging is also essential in industry, for instance in food safety checks for the presence of foreign objects.
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Methods and Tools for Mining Multivariate Time Series
Mining time series is a machine learning subfield that focuses on a particular data structure, where variables are measured over (short or long) periods of time.
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Robust rules for prediction and description.
In this work, we attempt to answer the question:
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Quantum machine learning
PhD defence
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Vincent Croft-
Science
v.a.croft@liacs.leidenuniv.nl | +31 71 527 4799
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Fons Verbeek
Science
f.j.verbeek@liacs.leidenuniv.nl | +31 71 527 5773
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Non-food vending machine Lecture Hall
Lecture Hall, Einsteinweg 57, 2333 CC, Leiden
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Chen Li
Science
c.li@cml.leidenuniv.nl | +31 71 527 2727
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Non-food vending machine Huygens/Oort
Huygens, Niels Bohrweg 2, 2333 CA, Leiden
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Non-food vending machine University Library
University Library, Witte Singel 27, 2311 BG, Leiden
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Non-food vending machine Plexus
Plexus Student Centre, Kaiserstraat 25, 2311 GN, Leiden
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Non-food vending machine Snellius
Snellius, Niels Bohrweg 1, 2333 CA, Leiden
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Non-food vending machine Van Steenis
Van Steenis, Einsteinweg 2, 2333 CC, Leiden
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Non-food vending machine Schouwburgstraat
Schouwburgstraat, Schouwburgstraat 2, 2511 VA, The Hague
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Matthijs van Leeuwen
Science
m.van.leeuwen@liacs.leidenuniv.nl | +31 71 527 7048
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Evert van Nieuwenburg
Science
e.p.l.van.nieuwenburg@liacs.leidenuniv.nl | +31 71 527 5523
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Non-food vending machine KOG
Kamerlingh Onnes Building, Steenschuur 25, 2311 ES, Leiden
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Non-food vending machine Wijnhaven
Wijnhaven, Turfmarkt 99, 2511 DP, The Hague
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Non-food vending machine Lipsius
Lipsius, Cleveringaplaats 1, 2311 BD, Leiden
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The holographic glass bead game: from superconductivity to time machines
Promotores: Prof.dr. J. Zaanen & Prof.dr. K.E. Schalm
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Using cryo-EM methods to uncover structure and function of bacteriophages
Bacteriophages, or phages for short, are the most abundant biological entity in nature. They shape bacterial communities and are a major driving force in bacterial evolution.
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Alex Brandsen
Faculteit Archeologie
a.brandsen@arch.leidenuniv.nl | +31 71 527 2727
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Language as a time machine
By studying language you can reconstruct the history of different communities, even when no other historical sources, such as written documents, are available. In the coming years, researchers Willem Adelaar and Marian Klamer will be carrying out this kind of reconstruction in areas of great linguistic…
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Legibility in the Age of Signs and Machines
Legibility in the Age of Signs and Machines offers a compelling reflection on what the notion of legibility entails in a machinic world in which any form of cultural expression – from literary texts, films, artworks and museum exhibits to archives, laws, computer programs and algorithms – necessarily…
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Automated de novo metabolite identification with mass spectrometry and cheminformatics
Promotor: Prof.dr. T. Hankemeier, Co-Promotores: T. Reijmers, L. Coulier
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Filter-based reconstruction methods for tomography
Promotor: K.J. Batenburg
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Novel analytical approaches to characterize particles in biopharmaceuticals
Particles are omnipresent in biopharmaceutical products. In protein-based therapeutics such particles are generally associated with impurities, either derived from the drug product itself (e.g. protein aggregates), or from extrinsic contaminations (e.g. cellulose fibers).
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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?
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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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Applied Machine Learning in Neurosurgical Oncology
PhD defence
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Machine learning for radio galaxy morphology analysis
PhD defence
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Quantum Machine Learning For Industrial Applications
PhD defence
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Non-food vending machine Pieter de la Court
Pieter de la Court, Wassenaarseweg 52, 2333 AK, Leiden
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Non-food vending machine Anna van Buerenplein
Anna van Buerenplein, Anna van Buerenplein 301, 2595 DG, The Hague
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Aske Plaat
Science
a.plaat@liacs.leidenuniv.nl | +31 71 527 7065
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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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Daniel Vale
Faculteit Rechtsgeleerdheid
d.s.vale@law.leidenuniv.nl | +31 71 527 8838
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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