Humans can see the world through the eyes of other humans and imagine what they know, want, and intend. This competence is known as Theory of Mind.

In this project, researchers from computer science, law, psychology, and public administration research in practice how artificial intelligence (AI) can be leveraged to make decision-making in the security domain more effective, while also keeping it safe and accountable.

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

This thesis probes under what conditions quantum computing presents an advantage over classical computing.

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.

It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.

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.

Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.

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.

Humans share meaning through language. Over time, repeated interactions have shaped languages into forms that match our cognitive preferences, making them structured, expressive, easy to learn, and ultimately, meaningful.

Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.

Quantum hardware comes with a different computing paradigm and new ways to tackle applications. Much effort has to be put into understanding how to leverage this technology to give real-world advantages in areas of interest for industries such as combinatorial optimization or machine learning.

In this article, Barrie Sander together with his colleagues explore whether fairness in digital governance inadvertently entrenches structural inequalities

Festschrift for Prof. Dr Raymond H.A. Corbey in celebration of his 70th birthday

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.

Source: J Cheminform, Volume 6, Issue 1 (2014)

In this thesis, we examine various systems through the lens of several numerical methods.

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.

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.

Can smart suggestions help translators work better with machine translation? As machine translation becomes the norm, professional translators are asked to correct its output; a process called post-editing. But how can we make this easier and more effective?

In this work, we attempt to answer the question:

The research in this dissertation aims to optimise blood donation processes in the framework of the Dutch national blood bank Sanquin. The primary health risk for blood donors is iron deficiency, which is evaluated based on donors' hemoglobin and ferritin levels.

The thesis is part of a bigger project, the HEPGAME (High Energy Physics Game). The main objective for HEPGAME is the utilization of AI solutions, particularly by using MCTS for simplification of HEP calculations.

Researcher and lecturer Susana Valdez investigates how migrants make use of online translation technology in medical situations. Her research suggests that they often encounter obstacles when using machine translation in these settings. Potential problems include a lack of understanding or trust.

Robert Ietswaart does research into gene regulation at the famous Harvard Medical School in Boston. He developed an algorithm to better predict whether a candidate medicine is going to produce side effects. He studied mathematics and physics in Leiden, and gained his PhD in computational biology in…

Friso Selten recently started a PhD position that is part of the SAILS program. This PhD project is a collaboration between FGGA, LIACS, and eLaw, and is supervised by Bram Klievink (FGGA), Joost Broekens (LIACS), and Francien Deschene (eLaw). In the project Friso will investigate the influence of artificial…

Software development is a complex process. It is important that software products become stable and maintainable assets.

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.

From once controversial scientific works and historical bibles, to personal shopping lists and clothing bills. The 17th-century Bibliotheca Thysiana and the archive of the collector Johannes Thysius exhibit both the intellectual and everyday life as it was three hundred years ago. Now a brand-new digital…

Robot technology is flourishing in multiple sectors of society, including retail, health care, industry and education. However, are robots representative towards minority groups of society, like LGBTQ+ people?

In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.

C.R. Hermans (2012). Facsimile-editie van Noordbrabants Oudheden aangevuld met enkele Archeologische Mengelwerken.

Studies on Ancient West Asia in Honour of Peter M.M.G. Akkermans

This dissertation advances automated negotiation by developing agents that can learn and adapt across diverse negotiation settings through three increasingly sophisticated approaches: automated algorithm configuration, portfolio-based strategy selection, and end-to-end reinforcement learning with graph…

In the master’s programme in Archaeology, you can follow courses on the archaeology of Europe, deepening your understanding of the continent’s long history.

A scientific assessment of the site selection for the ‘Frontiers of the Roman Empire’ Unesco World Heritage Site.