57 search results for “machine learning” in the Staff website
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Sietse Schröder
Faculty of Science
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Frans Rodenburg
Faculty of Science
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Wouter van Loon
Social & Behavioural Sciences
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Fabrizio Corriera
Faculty of Science
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I-Fan Lin
Faculty of Science
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Philipp Kropf
Faculty of Science
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Anna Dawid-Lekowska
Faculty of Science
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Christos Athanasiadis
Faculty of Science
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Simon Marshall
Faculty of Science
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Surendra Balraadjsing
Faculty of Science
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Michael Lew
Faculty of Science
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Rayyan Toutounji
Social & Behavioural Sciences
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Mathieu Cherpitel
Faculty of Science
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Diego Barbosa Arize Santos
Social & Behavioural Sciences
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Guilherme D'Andrea Curra
Faculty of Archaeology
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Tom Kouwenhoven
Faculty of Science
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Gerard van Westen
Faculty of Science
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Matthijs van Leeuwen
Faculty of Science
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Alex Brandsen
Faculty of Archaeology
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Chen Li
Faculty of Science
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Marjolein Fokkema
Social & Behavioural Sciences
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Alina Karakanta
Faculty of Humanities
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Felix Frohnert
Faculty of Science
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Hongchang Shan
Faculty of Science
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Julian Karch
Social & Behavioural Sciences
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Mert Yazan
Faculty of Science
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Matt Young
Faculty of Governance and Global Affairs
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Aske Plaat
Faculty of Science
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Fons Verbeek
Faculty of Science
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Tom Wilderjans
Social & Behavioural Sciences
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Bertram de Boer
Faculty of Science
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Nuno De Mesquita César de Sá
Faculty of Science
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Ruchella Kock
Social & Behavioural Sciences
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Jan van Rijn
Faculty of Science
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Evert van Nieuwenburg
Faculty of Science
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Guillermo Guerrero
Faculty of Science
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Md Faysal Tareq
Faculty of Science
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Satellite data and algorithms reveal which ships emit excessive nitrogen
Ships are still emitting too much nitrogen oxide. Till now it has been impossible to measure this at sea, but that is set to change. Solomiia Kurchaba combined satellite data and developed algorithms to identify which ships are emitting too much. Kurchaba received her PhD on 11 June.
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Jian Wang
Social & Behavioural Sciences
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Daniel Vale
Faculty of Law
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Elise Dusseldorp
Social & Behavioural Sciences
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Niki van Stein
Faculty of Science
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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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Yingjie Fan
Faculty of Science
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Babak Rezaeedaryakenari
Social & Behavioural Sciences
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Ben van Werkhoven
Faculty of Science
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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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Developing methods on remote sensing detection of archaeological features in Colombia with LDE grant
A Leiden-Delft-Erasmus research team has been awarded a LDE Global Support Grant to develop reusable algorithms in the remote detection of non-orthogonal architectural features, taking place in the archaeological context of the northern extremities of the Andean, part of the Istmo-Colombian Area.
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AI recognizes anxious youth based on their brain structure
A unique multicenter study, including about 3,500 youth between 10 and 25 years old from across the globe, shows that artificial intelligence - specifically machine learning - is able to identify individuals with anxiety disorders based on their unique brain structure.
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Pingtao Ding
Faculty of Science