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…

Automated Machine Learning (AutoML) is widely used to automatically build a suitable practical Machine Learning (ML) model for an arbitrary real-world problem, reducing the effort of practitioners in the ML development cycle for real-world applications. Optimization is a key part of a typical AutoML…

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…

This thesis investigates how quantum, quantum-inspired, and hybrid quantum-classical computation can enhance key points of the automated machine learning (AutoML) pipeline under the constraints of noisy intermediate-scale quantum (NISQ) devices.

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.

Cambridge University Press has published a new book co-authored by researchers from Leiden University, offering both an introduction to machine learning and deep neural networks, and an overview of their applications in quantum physics and chemistry — from reinforcement learning for controlling quantum…

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.

This PhD project investigates how literary translators and journalists react and respond to machine-translated metaphors and what the repercussions for professional practice are.

Lecture Hall, Einsteinweg 57, 2333 CC, Leiden

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…

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

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Lipsius, Cleveringaplaats 1, 2311 BD, Leiden

University Library, Witte Singel 27, 2311 BG, Leiden

FSW building, Wassenaarseweg 52, 2333 AK, Leiden

Kamerlingh Onnes Building, Steenschuur 25, 2311 ES, Leiden

Plexus Student Centre, Kaiserstraat 25, 2311 GN, Leiden

Snellius, Niels Bohrweg 1, 2333 CA, Leiden

Schouwburgstraat, Schouwburgstraat 2, 2511 VA, The Hague

Van Steenis, Einsteinweg 2, 2333 CC, Leiden

Huygens, Niels Bohrweg 2, 2333 CA, Leiden

Wijnhaven, Turfmarkt 99, 2511 DP, The Hague

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

Op vrijdag 4 april 2025 organiseert de werkgroep Stedengeschiedenis een bijeenkomst bij de Rijksdienst voor het Cultureel Erfgoed onder de titel ‘Archeologie en de stad’. De studiedag is gratis en voor iedereen toegankelijk.

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.

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

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…

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…

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

In this dissertation, we study partition-based models that can be used both for interpretable predictive modeling and for understanding data via interpretable patterns.

In this work, I explore the creation of new methods that optimize simulations of the gravitational N-body problem. Specifically, I take advantage of the recent popularity of Machine Learning methods to find tools that can suit this problem.

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.

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 focuses on enhancing predictions of central nervous system drug exposure using the LeiCNS-PK3.0, a physiologically based pharmacokinetic model.

Alex Geurds, hoogleraar Archeologie van Midden-Amerika, wordt vanaf 1 januari decaan van de Faculteit der Archeologie.

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!

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.

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.