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…

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…

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

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…

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

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.

‘We hope our paper highlights the possibilities and benefits of including artificial intelligence in quantum physics to do new discoveries.’ Vedran Dunjko of the Leiden Institute of Advanced Computer Science contributed to a paper that was published in PNAS last year and now received a Cozzarelli Prize…

Multidisciplinary research has established that VAT-results are in practice six times lower than what it should have been. The new estimates rely on machine learning techniques.

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.

Inaugural Lecture

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

Leiden University and the Ministry of Infrastructure and Water Management are involved in a collaboration in the form of a research project titled 'Data-Driven Risk Assessment in Infrastructure Networks'.

Bright explosions appear all over the radio and gravitational-wave sky. This dynamic side of the universe which has just been discovered, can be mapped by self-learning machines. The National Science Agenda granted 5 million euro’s to CORTEX, the Center for Optimal, Real-Time Machine Studies of the…

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.

PhD Defence

This dissertation is about Bayesian learning from data. How can humans and computers learn from data?

In 2018, the number of mobile phone users will reach about 4.9 billion. Assuming an average of 5 photos taken per day using the built-in cameras would result in about 9 trillion photos annually.

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

Promotor: Prof.dr. T. Hankemeier, Co-Promotores: T. Reijmers, L. Coulier

Promotor: K.J. Batenburg

By studying language you can reconstruct the history of different communities, even when no other historical sources, such as written documents, are available. In the coming years, researchers Willem Adelaar and Marian Klamer will be carrying out this kind of reconstruction in areas of great linguistic…

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…

By training with virtual opponents known as computer generated forces (CGFs), trainee fighter pilots can build the experience necessary for air combat operations, at a fraction of the cost of training with real aircraft.

Reinforcement learning, agents and classification: these are just some of the topics researchers on Artificial Intelligence and Machine Learning discussed at the BNAIC/BeneLearn conference 2020. It was the first time Leiden University hosted the annually held Belgium Netherlands Artificial Intelligence…

Dutch newspaper NRC contacted four Dutch universities regarding the brain drain in the field of Artificial Intelligence (AI) that is going on in the Netherlands.

Lecture, Anthropological & Descriptive Discussion Group

Europe falls behind China and the United States in the field of artificial intelligence (AI), which creates a brain drain for talented students and scientists. A high standard research institute for AI can turn the tide, claims initiator Holger Hoos, Professor of Machine Learning.

Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.

Researchers of the Leiden Institute of Advanced Computer Science (LIACS) will develop a training programme the next generation of early stage researchers (ESRs). During a four years project they will be trained to approach industrial challenges in a holistic manner by developing solutions in an automotive…

Promotor: A.P.IJzerman Co-promotor: A. Bender

This thesis describes the importance of being able to control the selectivity of potential drug candidates.

How do secondary school teachers’ professional learning preferences relate to teaching experience and the school context?

Music profession requires strong reflective, collaborative, creative and improvisational skills, yet prevailing one-to-one tuition in conservatoire education focuses mainly on transmission of craft skills. Examining effects of students' collaborative and experiential learning, as in learning labs, creates…

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

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