2,340 search results for “computational” in the Public website
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Article on Affective Computing by Andreas Häuselmann published in IDPL
Affective Computing (AC and sometimes called ‘Emotional AI’) provides opportunities to automatically process emotional data. However, is EU data protection law fit for purpose when it is applied to such AC approaches?
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Granted STW Project: Energy Efficient Computer-Brain Interaction
The STW project Energy Efficient Computer-Brain Interaction (principal investigator for LIACS: dr. T.P. Stefanov) has been granted. Funding for LIACS: 1 PhD student + travel/equipment budget, project duration: 4 years.
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Carlo Beenakker
Science
beenakker@lorentz.leidenuniv.nl | +31 71 527 5532
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Roy de Kleijn
Faculteit der Sociale Wetenschappen
kleijnrde@fsw.leidenuniv.nl | +31 71 527 3915
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Simon Marshall
Science
s.c.marshall@liacs.leidenuniv.nl | +31 71 527 2727
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Peng Sun
Science
p.sun@cml.leidenuniv.nl | +31 71 527 2727
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Samar Khalil
Science
s.s.khalil.2@liacs.leidenuniv.nl | +31 71 527 2727
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Xaver Funk
Faculteit der Sociale Wetenschappen
s.x.funk@fsw.leidenuniv.nl | +31 71 527 2727
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Hanneke Leegwater
Science
h.leegwater@lacdr.leidenuniv.nl | +31 71 527 6274
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Philipp Kropf
Science
p.kropf@cml.leidenuniv.nl | +31 71 527 2727
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Alina Karakanta
Faculty of Humanities
a.karakanta@hum.leidenuniv.nl | +31 71 527 2978
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Joost Batenburg
Science
k.j.batenburg@liacs.leidenuniv.nl | +31 71 527 6985
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Felix Frohnert
Science
f.frohnert@liacs.leidenuniv.nl | +31 71 527 2727
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Computational tools reveal secrets of 17th-century sealed letter
In a world first, an international team of researchers has read an unopened letter from Renaissance Europe – without breaking its seal or damaging it in any way. Nadine Akkerman, Reader in early modern English literature at Leiden University, is co-author of the article that appeared on 2 March in Nature…
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Topology and Geometry in Chiral Liquids
We study the interplay of topology and geometry with chirality for several passive and active systems, employing both analytical and numerical methods.
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Visual analytics for spatially-resolved omics data at single cell resolution: Methods and Applications
The deeper understanding of an organism's pathology is important for developing treatments. Over centuries of systematic research, clinical researchers have demonstrated that the more information they acquire about the cellular properties and their organisation in the tissue, the better they can understand…
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Astrolinguistics
Design of a Linguistic System for Interstellar Communication Based on Logic
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Deep learning for visual understanding
With the dramatic growth of the image data on the web, there is an increasing demand of the algorithms capable of understanding the visual information automatically.
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The power of one qubit in quantum simulation algorithms
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…
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Spiking Neural P Systems
Promotor: J.N. Kok, Co-promotor: H.J. Hoogeboom
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Simon Portegies Zwart
Science
spz@strw.leidenuniv.nl | +31 71 527 8429
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Distinguished Member of the ACM for outstanding contributions to computing
On November 8, the Association for Computing Machinery (ACM) named Wessel Kraaij as one of the 2017 Distinguished Members. ACM Distinguished Members have made a significant contribution to the field of computing, computer science or information technology. This year, worldwide 43 scientists received…
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laude physicist Tom O’Brien to research quantum chemistry by quantum computers
With defending his thesis ‘Applications of topology to Weyl semimetals and quantum computing’, the Leiden theoretical physicist Tom O'Brien has gained the rare 'cum laude' qualification. The freshly minted PhD has started a five year research programme on quantum algorithms for quantum chemistry, funded…
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European grant to advance self-learning capabilities of quantum computers
A major grant for research into machine learning algorithms for quantum computers. With this ERC Consolidator grant, Vedran Dunjko and his colleagues hope to discover which real-world problems a quantum computer can solve faster than a normal one.
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From Descriptive to Predictive Pharmacology in Children using Semi-Physiological population modelling
An integrated approach of physiological concepts, advanced statistical approaches and large clinical datasets.
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Computer program AlphaStar reaches professional level in video game StarCraft II
For the first time, a computer can compete with the very best human players in StarCraft II, a video game played by tens of thousands at a professional level and by millions just for fun. Mike Preuss, university lecturer at the Leiden Institute of Advanced Computer Science (LIACS) responds to the achievement…
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Computer Science on place 51 in QS World Universities Ranking 2011
Computer Science on place 51 in QS World Universities Ranking 2011
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Hora est through a computer speaker: Leiden’s first fully online PhD defence
Samineh Bagheri is the first PhD candidate to defend her thesis fully remotely.
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Strategies for braiding and ground state preparation in digital quantum hardware
With the help of quantum mechanics, digital quantum hardware may be able to tackle some of the problems that are too difficult for ordinary computers. But despite these expectations and the ongoing effort of the research community, reliable quantum computers are not yet realized in a lab setting.
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Multi-dimensional feature and data mining
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.
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The quantum computer: it doesn't exist yet, but still we understand increasingly better what problems it can solve
How do we know what a quantum computer is good for when it hasn't been built yet? That's what PhD candidate Casper Gyurik investigated by combining two terms you often hear: quantum computing and machine learning.
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Interfacing the past
Computer applications and quantitative methods in archaeology CAA95.
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Dirk Bouwmeester
Science
bouwmeester@physics.leidenuniv.nl | +31 71 527 5892
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Surendra Balraadjsing
Science
s.balraadjsing@cml.leidenuniv.nl | +31 71 527 2727
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Flat but not shallow. Towards flatter representations in deep semantic parsing for precise and feasible inferencing
Simulating human language understanding on the computer is a great challenge. A way to approach it is to represent natural language meanings in logic, and to use logical provers to determine what does and does not follow from a text. What logic is best to use and how natural language meanings are best…
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Exploring Images With Deep Learning for Classification, Retrieval and Synthesis
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.
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Algorithm selection and configuration for Noisy Intermediate Scale Quantum methods for industrial applications
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.
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Quantum machine learning: on the design, trainability and noise-robustness of near-term algorithms
This thesis addresses questions on effectively using variational quantum circuits for machine learning tasks.
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Strategies for Mechanical Metamaterial Design
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.
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Marcello Bonsangue
Science
m.m.bonsangue@liacs.leidenuniv.nl | +31 71 527 7095
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Juan Claramunt Gonzalez
Faculteit der Sociale Wetenschappen
j.claramunt.gonzalez@fsw.leidenuniv.nl | +31 71 527 6026
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Diego Barbosa Arize Santos
Faculteit der Sociale Wetenschappen
d.barbosa.arize.santos@fsw.leidenuniv.nl | +31 71 527 2727
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Charles Berger
Faculteit Rechtsgeleerdheid
c.e.h.berger@law.leidenuniv.nl | +31 71 527 2727
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Arend-Jan Quist
Science
a.quist@liacs.leidenuniv.nl | +31 71 527 2727
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Francesco Buda
Science
f.buda@lic.leidenuniv.nl | +31 71 527 5723
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Wessel Kraaij
Science
w.kraaij@liacs.leidenuniv.nl | +31 71 527 5778
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Adolescents' responses to online peer conflict: How self‐evaluation and ethnicity matter
In online games conflicts between players may arise. Novin, Bos, Stevenson and Rieffe investigated factors that may explain why some adolescents react more angrily than others in this type of situation. In their realistically designed gaming environment, the (pre-programmed) fellow player suddenly started…
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Mechanistic modelling of drug target binding kinetics as determinant of the time course of drug action in vivo
Drug-target binding kinetics determine the time course of the central event in pharmacotherapy: Drug-target interaction.
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Model-assisted robust optimization for continuous black-box problems
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.
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Unravelling cell fate decisions through single cell methods and mathematical models
Despite being the object of intense study, embryonic development has been difficult to model due to a number of reasons. First, complex tissues can be comprised of many cell types, of which we probably only know a subset.