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

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

FSW building, Wassenaarseweg 52, 2333 AK, Leiden

Snellius, Niels Bohrweg 1, 2333 CA, Leiden

Huygens, Niels Bohrweg 2, 2333 CA, Leiden

Kamerlingh Onnes Building, Steenschuur 25, 2311 ES, Leiden

Schouwburgstraat, Schouwburgstraat 2, 2511 VA, The Hague

Plexus Student Centre, Kaiserstraat 25, 2311 GN, Leiden

University Library, Witte Singel 27, 2311 BG, Leiden

Van Steenis, Einsteinweg 2, 2333 CC, 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.

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

University Campus Spui, Spui 5, 2511 BL, The Hague

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

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

Middle East Studies Lecture

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.

PhD defence

Leiden’s Institute for History has an exceptionally strong expertise in Medieval European History, with specialists whose interests cover virtually the whole continent.

Migration is the talk of the town. On the whole, however, the current situation is seen as resulting from unique political upheavals. Such a-historical interpretations ignore the fact that migration is a fundamental phenomenon in human societies from the beginning and plays a crucial role in the cultural,…

Our team is committed to the study of knowledge in its broadest sense, encompassing both ideas and practices in all its historical variety. We look at what people regarded as knowledge, how they created, collected, circulated and used it, also why it mattered to them, and how all this was embedded in…

Life Sciences Artificial Intelligence Data Science

The Leiden Greek and Roman History Team concentrates on the study of the economies, societies and cultures of the large empires of the Graeco-Roman world, starting with the empires of Alexander the Great and his successors.

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…

Conference

Considering the ways in which the ‘global turn’ is changing the theory and practice of historical disciplines, Explorations in History and Globalization engages with the concept and methodology of globalization, challenging traditional divisions of space and time to offer a range of perspectives on…

In this project, researchers and lecturers from LUCAS, ICLON and UBL join forces to publish expertise and experience in the field of machine learning and AI as open learning materials for secondary education.

Due to the fact that the Frisian lands lacked major political centers in the Middle Ages and also because most of its monasteries suffered complete destruction in the second half of the 16th century, relatively few written documents concerning medieval Frisian history have survived. To analyze them…

This seminal volume covers the entire global history of urbanization since the rise of cities in Mesopotamia in the 6th millennium BC. Leiden historians Wim Blockmans, Leonard Blussé, Luuk de Ligt and Leo Lucassen contributed survey and thematic chapters.

Leiden’s Institute for History has an exceptionally strong expertise in premodern European history in its global context, with specialists whose interests cover virtually the whole continent. We have a strong track record in leading larger research teams and work together with colleagues across Europe…

This book rovides an economic history of Portugal over the course of eight centuries, from 1143 through to 2010 and situates Portugal's economic growth within the context of European development. It also responds to fundamental questions about when, how and why the economy expanded, stagnated or co…