This thesis investigates the application of deep learning techniques in image analysis across various domains, focusing on four main themes: feature extraction, classification, segmentation, and integration, demonstrating the transformative potential of these technologies.

Promotores: Prof.dr. J.N. Kok, Prof.dr. M.R.V. Chaudron, Co-Promotor: P. van der Putten

Inverse problems are problems where we want to estimate the values of certain parameters of a system given observations of the system. Such problems occur in several areas of science and engineering. Inverse problems are often ill-posed, which means that the observations of the system do not uniquely…

The high velocity tail of the total velocity distribution of stars provides essential insight into fundamental properties of the Galaxy.

If an algorithm has to learn to understand language, simply having a lot of data doesn’t help much. Like us, a computer has to learn the language in interaction with others. Tessa Verhoef is fascinated by how this interaction works.

Data analysis with Python and R are rapidly becoming essential skills for modern scientists. Therefore, we are offering courses to develop your scientific computing skills. Those courses are optional for LACDR PhD candidates.

The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.

This thesis investigates the evolution and fate of gaseous exoplanets, which are continuously shaped by stellar activity across both short and long timescales.

Lecture

OpenML empowers scientists to conduct transparent, reproducible, and collaborative AI-driven research.

In this theme you will be supplied with a firm background in the core of current computational linguistics and a solid comprehension of its neighboring fields.

Creation of a framework for environmental parameter estimation that benefits from the consistency of physics-based theory-driven models and the accuracy of the machine-learning-based data-driven models

Empirical and experimental research focusing on literary, legal, medical and audiovisual translation.

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…

PhD defence

A P300-based Brain Computer Interface character speller, also known as P300 speller, has been an important communication pathway, under extensive research, for people who lose motor ability, such as patients with Amyotrophic Lateral Sclerosis or spinal-cord injury because a P300 speller allows human-beings…

Life Sciences Artificial Intelligence Data Science

Musical instruments are multiple things: they are objects but also means of communication; they are technological and also deeply connected to embodiment through the player; and they leave certain cultural traces (Ricoeur 1975/1984). This research project explores how literary texts from the 19th century…

The quest for Trustworthy AI is high on both the political and the research agenda, and it actually constitutes TAILOR’s first research objective (H1) of developing the foundations for Trustworthy AI. It is concerned with designing and developing AI systems that incorporate the safeguards that make…

Data science is now growing fast in many places, but scholars at Leiden University have been developing data science techniques for a long time already. Thanks to their broad-based expertise, Leiden statisticians are currently combining the achievements in statistics with the latest methods of statistical…

The AiChemist project (https://aichemist.eu) coordinated by Helmholtz Munich is an Innovative Doctoral Training Network funded through the Marie Skłodowska-Curie Actions (MSCA-DN) within the EU Horizon Research Framework, to the sum of €3 million. It brings together leading experts in AI, chemoinformatics…

DSE 2.0 concerns research on DSE techniques for complex dCPS

This is an Erasmus+ International Credit Mobility project of Leiden University’s Faculty of Science with University of California.

Computers are becoming ever more powerful and are taking on more complex tasks. The Leiden Institute of Advanced Computer Science (LIACS) contributes to revolutionary scientific research and applies the latest inventions in the field, offering answers to today’s questions of society.

How do we deal with large sources of greenhouse gases? Do schools provide a socially-inclusive environment for all children? And how can we protect Earth’s nature? These questions have two things in common: they are complex global challenges, and data can help answer them. Mitra Baratchi is computer…

In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.

Promotor: Prof.dr. T.H.W. Bäck

Through the microcredentials offered by the Faculty Science at Leiden University, you can take individual courses at university level.

Addressing the core novel objective of scalably assessing the impact of possible interventions through counterfactual prediction based on spatio-temporal data.

The Algorithms and Software Technology (AST) research programme performs fundamental research in the areas of algorithm design and analysis.

Did you know that algorithms can help with the prevention of air pollution and ships sinking in the sea? A team of Leiden University researchers have worked together with the Dutch Ministry of Infrastructure and Water Management to look in data-driven inspection of ships. In this interview, Gerrit Jan…

Hass

PhD defence

The Ada Lovelace Distinguished Lecture Series brings outstanding computer scientists from around the world to Leiden University. The lecturers will share exciting ideas and results from the forefront of computer science.

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…

Read all papers and other types of publication created by the project.

The master’s specialisation Artificial Intelligence offers future-oriented topics in computer science with a focus on machine learning, optimization algorithms, and decision support techniques.

The master's specialisation Data Science: Computer Science at Leiden University provides students thorough knowledge and understanding of statistical and computational aspects of data analysis, including their application in databases, advances in data mining, networks, pattern recognition, and deep…