150 search results for “plaats” in the Public website
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Aske PlaatFaculty of Science
a.plaat@liacs.leidenuniv.nl | +31 71 527 7065
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Aske Plaat publishes new book
A new book, Learning to Play: Learning Reinforcement and Games by Aske Plaat is now available.
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Aske Plaat in NRC on AlphaZero's success
Thanks to deep learning, computer program AlphaZero plays better chess than the best person. The computer wins because it can predict further ahead than a human being through pattern recognition. Aske Plaat discusses this special development in Dutch newspaper NRC. He expects the major tech companies…
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Aske Plaat and Catholijn Jonker at BNR De Nieuwe Wereld
In the BNR Newsradioprogram De Nieuwe Wereld, professors Aske Plaat (Data Science) and Catholijn Jonker (Explainable AI) of the computer science institute of Leiden University discuss about decisions made by computers. From self-driving cars to intelligent soap pumps: should we be able to follow the…
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Zet menselijke waarden bij AI op de eerste plaats
‘Vrijwel elke kritische reflectie op AI en de richting waarin AI zich op dit moment ontwikkelt, ontbreekt’, zegt Reijer Passchier, hoogleraar digitalisering en de democratische rechtsstaat aan de OU en universitair docent staatsrecht in Leiden, in een opiniestuk in de Volkskrant.
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Soms lijkt erkenning van Palestina een middel in plaats van een doel te zijn
Volgens Wim Voermans, hoogleraar staatsrecht, zullen losse erkenningen van landen niet zoveel betekenen. Erkenning is volgens de hoogleraar pas betekenisvol als ook grote spelers als de VS meedoen, zegt hij in NU.nl.
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Algorithms for quantum software
Top scientists of three Dutch universities are working on software and systems for quantum computers. Researchers of the Leiden Institute of Advanced Computer Science (LIACS) and the Leiden Institute of Physics (LION) are developing new algorithms to make those super computers work. The coming years,…
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Inaugural lecture: Data science and Ebola
Today, everybody and everything produces data. People produce large amounts of data in social networks and in commercial transactions. Medical, corporate, and government databases continue to grow. Sensors continue to get cheaper and are increasingly connected, creating an Internet of Things, and generating…
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The relation between dynamics and activity of phospholipase A/acyltransferase homologs
Phospholipase A/acyltransferase 3 (PLAAT3) and PLAAT4 are enzymes involved in the synthesis of bioactive lipids. Despite sequential and structural similarities, the two enzymes differ in activity and specificity.
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Applications of quantum annealing in combinatorial optimization
Quantum annealing belongs to a family of quantum optimization algorithms designed to solve combinatorial optimization problems using programmable quantum hardware. In this thesis, various methods are developed and tested to understand how to formulate combinatorial optimization problems for quantum…
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Information-theoretic partition-based models for interpretable machine learning
In this dissertation, we study partition-based models that can be used both for interpretable predictive modeling and for understanding data via interpretable patterns.
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Op de juiste plaats en op het juiste moment
Inaugural lecture
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Research
At Leiden University, researchers from all disciplines work together to find answers and design innovations in the field of artificial intelligence.
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Interaction with sound for participatory systems and data sonification
This thesis deals with the use of sound in interactions in the context of participatory systems and data sonification. We investigate an interactive environment where participants perceive information of the data through sound elements.
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Exploring deep learning for multimodal understanding
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.
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Profile 5. The Military Orders in the Netherlands up to 1600
Fighting for the faith, caring for the sick, and praying for the soul of their benefactors were the main tasks of the military orders, who since the time of the crusades were well represented in the Netherlands in the Middle Ages, including the Frisian lands. Especially the Hospitallers and the Teutonic…
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Exploring Deep Learning for Intelligent Image Retrieval
This thesis mainly focuses on cross-modal retrieval and single-modal image retrieval via deep learning methods, i.e. by using deep convolutional neural networks.
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Enhancing Autonomy and Efficiency in Goal-Conditioned Reinforcement Learning
Reinforcement learning is a framework that enables agents to learn in a manner similar to humans, i.e. through trial and error. Ideally, we would like to train a generalist agent capable of performing multiple tasks and achieving various goals.
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Advances in computational methods for Quantum Field Theory calculations
In this work we describe three methods to improve the performance of Quantum Field Theory calculations.
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Exploring Open-World Visual Understanding with Deep Learning
We are living in an information era where the amount of image and video data increases exponentially.
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Orchestration of Distributed LOFAR Workflows
The LOFAR radio telescope produces petabytes of data every year. Radio Astronomers use complex multi-step pipelines to process this data and produce scientific images.
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Elementaire deeltjes. Kunstgeschiedenis
Een nieuw boek in de reeks Elementaire deeltjes
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Fostering Curiosity Through Video Games
This thesis manuscript explores the use of video games as tools for conceptual exploration and academic research.
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Understanding deep meta-learning
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.
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Knowledge Extraction from Archives of Natural History Collections
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.
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Thunderstorm: A small cultural history (1752-1830) (in Dutch)
More on the Dutch webpage.
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Image analysis for gene expression based phenotype characterization in yeast cells
Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek
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Registering with a doctor
We highly advise you to register with a doctor (GP) in Leiden or The Hague before arrival or soon after you get here.
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Europese productnormen en privaatrechtelijke normstelling
On 10 June 2020, Gitta Veldt defended her thesis 'Europese productnormen en privaatrechtelijke normstelling'. The doctoral research was supervised by Prof. H.J. Snijders.
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Inhibitor discovery of phospholipases and N-acyltransferases
In this thesis an activity-based probe was discovered that could visualize the activity of PLAATs. With an optimized gel-based ABPP assay in hand, screening of a compound library led to the discovery of alpha-ketoamides as a hit for PLAAT3.
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Exploratory Data Mining in Multimodal data
The change from a closed institution to an open living environment for patients with late stages of dementia will give the patients more freedom in their day-to-day life. The effect of this change on the patients’ mobility, activity and interaction with others will be assessed with sensor technology…
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Towards High Performance and Efficient Brain Computer Interface Character Speller: Convolutional Neural Network based Methods
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…
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Archive
On this page, you will find the recordings of the Tuesday Talks since April 2025. Recordings of the precursor to the Tuesday Talks, This Week’s Discoveries, are also available here.
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Structured Parallel Programming for Monte Carlo Tree Search
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.
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Predicting alcohol use disorder through machine learning
How to come to valid risk stratification of alcohol use disorder?
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Goedereede-Oude Oostdijk
Jasper de Bruin, Guus Besuijen, Hans Siemons & Jeroen van Zoolingen (2012). De romeinse nederzetting bij het tegenwoordige Goedereede heeft waarschijnlijk een belangrijke functie gehad in de overslag en distributie van diverse goederen, waaronder keramiek en voedingsgewassen. De opgraving van deze nederzetting…
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Searching by Learning: Exploring Artificial General Intelligence on Small Board Games by Deep Reinforcement Learning
In deep reinforcement learning, searching and learning techniques are two important components. They can be used independently and in combination to deal with different problems in AI, and have achieved impressive results in game playing and robotics. These results have inspired research into artificial…
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Emergence of Linguistic Universals in Neural Agents via Artificial Language Learning and Communication
PhD defence
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Jacopo Di VenturaFaculty of Science
j.di.ventura@liacs.leidenuniv.nl | 071 5272727
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Felix KleukerFaculty of Science
j.f.kleuker@liacs.leidenuniv.nl | +31 71 527 2727
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Koen PonseFaculty of Science
k.ponse@liacs.leidenuniv.nl | +31 71 527 2727
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Artificial Intelligence & Machine Learning
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…
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Data science can reduce likelihood of virus outbreaks
Data science is of vital importance in preventing future outbreaks of viruses, Professor of Data Science Aske Plaat argues. Inaugural lecture entitled ‘Data Science and Ebola’ on 13 April.
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Our people
Some examples of AI-research done at Leiden.
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Marcello Bonsangue new Scientific Director of the LIACS institute
Marcello Bonsangue will be the new Scientific Director of the Leiden Institute of Advanced Computer Science (LIACS) from January 2024. Bonsangue has been appointed for four years. He succeeds Aske Plaat, who led the institute for eight years.
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Save the date: Mmmonk School 2024
Mmmonk en het Henri Pirenne Instituut voor Middeleeuwse Studies (UGent) organiseren eind 2024 de tweede editie van Mmmonk School: Lessen voor gevorderde beginners rond het middeleeuwse boek. Mmmonk School biedt een interdisciplinair praktijkgericht programma over middeleeuwse Vlaamse manuscripten. Experts…
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Registratie Mmmonk school geopend
De inschrijvingen voor de Mmmonk school zijn geopend. Mmmonk School biedt een interdisciplinair praktijkgericht programma over middeleeuwse Vlaamse manuscripten. Experts geven een inleiding bij de belangrijkste concepten, methodes en vaardigheden uit hun discipline. De lessen zijn online, gratis, en…
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Tyron OffermanFaculty of Science
t.d.offerman@liacs.leidenuniv.nl | +31 71 527 5792
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Zhao YangFaculty of Science
z.yang@liacs.leidenuniv.nl | +31 71 527 4799
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‘Universities and government should take the lead in the fight against cybercrime’
From ransomware to Citrix traffic jams: over the past few months Dutch organisations were regularly brought to a standstill by serious cyber attacks. We can only face these threats by standing as one, and universities and government should take the lead. These are the words of Leiden professors Bibi…