Una Europa heeft zes transversale thema’s vastgesteld en ingevoerd als leidende beginselen voor samenwerking. Deze thema’s hebben als doel het personeel en de studenten van Una Europa te helpen deze thema's in concrete acties om te zetten.

Promotor: Ed F. Deprettere, Co-promotor: Todor P. Stefanov

This study seeks to analyse how job stress could be the result of performing administrative tasks

Op 21 juni sprak Jorrit Rijpma op de eerste bijeenkomst van het Task Force over een Europese Grens- en Kustwacht, opgericht door het Centre for European Policy Studies in Brussel.

Op de tweejaarlijkse conferentie van de European Association for Learning and Instruction (Earli) op Cyprus hebben dr. Kees de Brabander en prof. dr. Rob Martens, beiden - eertijds - verbonden aan de afdeling Onderwijsstudies van het instituut Pedagogische Wetenschappen met hun artikel

Building a Deep Cross-media Transfer Network to extract visual relations that relieve the problem of insufficient training data for visual tasks.

This thesis focuses on addressing four research problems in designing embedded streaming systems.

Creating information portals for support of European environmental policy.

This thesis addresses the problem of designing performance and energy efficient embedded streaming systems, that is, systems which process a stream of input data coming from the environment and generate a stream of output data going into the environment.

Promotie

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.

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

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…

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.

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

De Universiteit Leiden is sinds januari 2023 actief betrokken bij de alliantie.

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

Promoter: Ed F. Deprettere, Co-promoter: Todor P. Stefanov

Optimization tasks in practice have multifaceted challenges as they are often black box, subject to multiple equality and inequality constraints and expensive to evaluate.

The experiments described in this thesis employ local lentiviral knockdowns in brain areas of female zebra finches followed by behavioural assays consisting of preference and Go/Nogo tasks.

Una Europa biedt veel verschillende mogelijkheden voor academici.

Una Europa biedt veel mogelijkheden voor ondersteunend personeel.

Learning from small data sets in machine learning is a crucial challenge, especially when dealing with data imbalances and anomaly detection. This thesis delves into the challenges and methodologies of learning from small datasets in machine learning, with a particular focus on addressing data imbalances…

In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…

The class-imbalance problem is a challenging classification task and is frequently encountered in real-world applications. Various techniques have been developed to improve the imbalanced classification performance theoretically and practically.

Promotor: Prof.dr. C.U. Keller

This thesis mainly focuses on multimodal understanding and Visual Question Answering (VQA) via deep learning methods. For technical contributions, this thesis first focuses on improving multimodal fusion schemes via multi-stage vision-language interactions.

With the emergence of online social networks (OSNs), the way people create and share information has changed, which becomes faster and broader than traditional social media.

This book aims to be a point of reflection and debate for journalists, academics and students to recognize a fundamental task in the duty of the communications professional, which is to influence through their daily work and their routines in order to achieve a more inclusive and plural society, through…

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.

-

Promotor: J. A. Bouwstra

Promotor: J. Aarts

Promotores: Prof.dr. J.N. Kok, Prof.dr. C.A. Mandemakers, Co-Promotor: G. Bloothooft

The increasing competition in the automotive industry requires the tailored, swift development of technologically sophisticated vehicles. Therefore, the computationally expensive state-of-the-art simulation technologies are combined with optimization algorithms. An example of a real-world optimization…

In this thesis, we have studied cell images from two types of cells, including pollen grains and the immune cells, neutrophils. These images are captured using a bright field microscope and a confocal microscope.

The invention of neural networks marks a critical milestone in the pursuit of true artificial intelligence. Despite their impressive performance on various tasks, these networks face limitations in learning efficiently as they are often trained from scratch.

Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.

This thesis involves three topics: benchmarking discrete optimization algorithms, empirical analyses of evolutionary computation, and automatic algorithm configuration.

Quantum computing is an emerging technology, which holds the potential to simulate complex quantum systems beyond the reach of classical numerical methods.Despite recent formidable advancements in quantum hardware, constructing a quantum computer capable of performing useful calculations remains challenging.In…

Lezing

Bouwen aan de universiteit van de toekomst

Natural history collections provide invaluable sources for researchers with different disciplinary backgrounds, aspiring to study the geographical distribution of flora and fauna across the globe as well as other evolutionary processes.

From surface science towards industrial practice using high-pressure scanning tunneling microscopy.

Promotores: J. Kok, M. Chaudron (Chalmers University)

With the advent of multicore processors and data centers, computer hardware has become increasingly parallel, allowing one to run multiple pieces of software at the same time on different machines. Coordination of these pieces is best expressed in a coordination language as an explicit interaction protocol…

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…

Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich

On a structural level, the properties featured by a majority of mechanical metamaterials can be ascribed to the finite number of soft internal degrees-of freedom allowing for low-energy deformations.