Promotor: J. N. Kok, Co-promotor: A. J. Knobbe

Dit rapport maakt deel uit van het project Receptenboek burgerparticipatie in opdracht van de Rijksdienst voor het Cultureel Erfgoed (RCE) en met steun van het Fonds voor Cultuurparticipatie.

Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…

Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…

The focus of this thesis is on the technical methods which help promote the movement towards Trustworthy AI, specifically within the Inspectorate of the Netherlands.

This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…

The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.

Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.

Lecture Hall, Einsteinweg 57, 2333 CC, Leiden

How to come to valid risk stratification of alcohol use disorder?

We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.

Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…

Huygens, Niels Bohrweg 2, 2333 CA, Leiden

University Library, Witte Singel 27, 2311 BG, Leiden

Plexus Student Centre, Kaiserstraat 25, 2311 GN, Leiden

Snellius, Niels Bohrweg 1, 2333 CA, Leiden

Van Steenis, Einsteinweg 2, 2333 CC, Leiden

Schouwburgstraat, Schouwburgstraat 2, 2511 VA, The Hague

Kamerlingh Onnes Building, Steenschuur 25, 2311 ES, Leiden

Wijnhaven, Turfmarkt 99, 2511 DP, The Hague

Lipsius, Cleveringaplaats 1, 2311 BD, Leiden

Promotores: Prof.dr. J. Zaanen & Prof.dr. K.E. Schalm

The ongoing increase in antimicrobial resistance combined with the low discovery of novel antibiotics is a serious threat to our health care.

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…

Machine Learning is becoming a more and more substantial technology for industry.

De Nederlandse geschiedenis is nauw verbonden met die van de wereld als geheel. Door migratie, handel en kennisuitwisseling beïnvloedden mensen elkaar over grotere afstanden en intensiever dan we lang dachten. Wereldgeschiedenis van Nederland toonde in meer dan honderd verhalen hoe internationaal de…

Pieter de la Court, Wassenaarseweg 52, 2333 AK, Leiden

Anna van Buerenplein, Anna van Buerenplein 301, 2595 DG, The Hague

This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…

This thesis addresses questions on effectively using variational quantum circuits for machine learning tasks.

Duizenden metaalvondsten die door detectorzoeker wijlen Herman Zomerdijk zijn gedaan in de regio Kennemerland schetsen een uniek beeld van Noord-Holland door de eeuwen heen. Hij zocht en verzamelde decennialang historische metalen objecten in Noord-Holland en bouwde zo een unieke metaalcollectie op.

Assistant Professor Vedran Dunjko and his team received a gift from Google to support their quantum research. The research focuses on whether quantum computers can provide new ways of understanding the mysteries of high-energy physics.

Have you always wanted to use your own coffee mug at the university coffee machines but it was never accepted? We have good news for you!

Cláudio de Sá predicted the preferences of people using rankings. He adjusted ‘classical’ machine learning approaches, making them suitable for predicting preferences. His work can be applied in the prediction of election results. PhD defence on 16 December.

‘We hope our paper highlights the possibilities and benefits of including artificial intelligence in quantum physics to do new discoveries.’ Vedran Dunjko of the Leiden Institute of Advanced Computer Science contributed to a paper that was published in PNAS last year and now received a Cozzarelli Prize…

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…

Novel entities may pose risks to humans and the environment. The small particle size and relatively large surface area of micro- and nanoparticles (MNPs) make them capable of adsorbing other novel entities, leading to the formation of aggregated contamination.

Als gevolg van de grote technologische vooruitgang in de gezondheidszorg worden in toenemende mate gegevens verzameld tijdens de uitvoering van klinische onderzoeken.

Transport inspectorates are looking for novel methods to identify dangerous behavior, ultimately to reduce risks associated to the movements of people and goods. We explore a data-driven approach to arrive at smart inspections of vehicles.

A new NMR microscope gives researchers an improved instrument to study fundamental physical processes. It also offers new possibilities for medical science, for example to better study proteins in Alzheimer patients’ brains. Publication in Physical Review Applied.