930 search results for “algorithmic decisions” in the Public website
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Simona Demkova
Faculteit Rechtsgeleerdheid
s.demkova@law.leidenuniv.nl | +31 71 527 2727
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Eliska Prochazkova
Faculteit der Sociale Wetenschappen
e.prochazkova@fsw.leidenuniv.nl | +31 71 527 2727
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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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Master’s Open Day: exploring options or decision time
The Master’s Open Day on 16 March was busy at all faculties in Leiden and The Hague. Thousands of visitors from the Netherlands and abroad came to Leiden University. ‘I want to find out more about the curriculum, and taste the atmosphere,’ said Sarah from Groningen.
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Joint Lectures on Evolutionary Algorithms
Lecture
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Data science for tax administration
In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.
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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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Joint Lectures on Evolutionary Algorithms (JoLEA)
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Climate change presents African grazers with tricky decision
Lions limit their prey, such as zebra and gnu, in their options for adapting to global warming. This is what Leiden researcher Michiel Veldhuis, from the Institute of Environmental Sciences, and a group of international colleagues have discovered. The research was published today in Nature Ecology &…
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Isogeny graphs, modular polynomials, and applications
This thesis has three main parts. The first part gives an algorithm to compute Hilbert modular polynomials for ordinary abelian varieties with maximal real multiplication. Hilbert modular polynomials of a given level b give a way of finding all of the abelian varieties that are b-isogeneous to any given…
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Programme structure
This programme is aimed at students who have a strong interest in programming and computer science, as well as an interest in the cognitive psychology and artificial intelligence.
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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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Joint Lectures on Evolutionary Algorithms - June 2024
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Joint Lectures on Evolutionary Algorithms - November 2023
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Joint Lectures on Evolutionary Algorithms (JoLEA)
Lecture
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Images of Galois representations
Promotores: S.J. Edixhoven, P.Parent
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Research
Developing computational algorithms for structural biology -A high resolution, three dimensional view of a molecule provides detailed information that help elucidate its function: by knowing the exact arrangement of atoms in a molecule, we can understand disease, develop drugs to combat them and improve…
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Computer programming
We see computer programming as an essential skill. It enables you to be self-sufficient in building tools, processing data, visualizing research output, communicating research results, etc. Moreover, it empowers you to make beautiful things.
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Joint Lectures on Evolutionary Algorithms (JoLEA)
Lecture
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Joint Lectures on Evolutionary Algorithms (JoLEA)
Lecture
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ELS Lab @Leiden member Niek Stohmaier et al on biases in bankers’ decision making
A recent publication by Niek Strohmaier, Assistant Professor of Empirical Legal Studies (ELS) Lab @Leiden, together with Professor Jan Adriaanse, Professor Kees van den Bos and Associate Professor Helen Pluut, has been accepted by the Journal of Applied Social Psychology.
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Theory
Many important topics in computer science, such as the correctness of software, the efficiency of algorithms and the modeling of complicated systems, depend on sound theoretical underpinnings. In the Theory group, we study these fundamental building blocks and develop verification methods to prove system…
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Joint Lectures on Evolutionary Algorithms (JoLEA)
Lecture
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Joint Lectures on Evolutionary Algorithms - April 2024
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Resource allocation in networks via coalitional games
Promotor: F. Arbab, R. De Nicola, Co-Promotor: M. Tribastone
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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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Computational speedups and learning separations in quantum machine learning
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…
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LUC The Hague: Decision-making about Corona -related Policies at LUC
In these uncertain times when we all have to adapt to new circumstances, LUC is working hard to develop and implement changes in procedures and guidelines for staff and students. We would like to explain how this is organized, because staff and students are not always aware of the many steps that are…
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Take part in group decision-making research at the social interaction lab
To easily take part in group decision-making research, Jörg Gross, Assistent Professor Social and Organisational Psychology, launched a platform that allows students at the social interaction lab. Sign up to receive invitations if you are interested in taking part in on-going scientific studies in the…
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Analysis of court rulings on ACM decisions under Dutch Competition Act
Prof. Ottervanger, professor emeritus of European Law and Dutch Competition Law has analysed 36 final court judgments concerning decisions by the Netherlands Authority for Consumers & Markets (ACM) in competition cases. The report was part of the review of the ACM that was conducted by the Dutch Ministry…
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Joint Lectures on Evolutionary Algorithms (JoLEA)
Lecture
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Niek Strohmaier
Faculteit Rechtsgeleerdheid
n.strohmaier@law.leidenuniv.nl | +31 71 527 7997
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Following in nature's footsteps
A neural network mimics how our brain works. Evolutionary algorithms use the principle of natural selection to solve complex problems. This kind of 'natural computing' is being used to improve the diagnosis of Parkinson's disease or the production of steel.
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Targeted Informed consent: empowering young participants in medical-scientific research
Promotor: J.M. van den Broek Co-promotor: M.C. de Vries
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Investigating Institutional Diversity and Innovation: AI adoption and implementation in Taiwan and The Netherlands
(1) What are the institutional factors that influence AI adoption and implementation? and (2) How does AI reshape the exercise of administrative discretion within public organisations, and how do adoption and implementation choices moderate these effects?
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Webinars
On this page you will find a collection of presentations and videos of the Florence Nightingale Colloquia, seminars at the faculty and other event recordings hosted by the Data Science Research Programme.
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Structure and substructure in the stellar halo of the Milky Way
Promotor: K.H. Kuijken
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Computability of the étale Euler-Poincaré characteristic
Promotor: S.J. Edixhoven, L.D.J. Taelman
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Decompositions in algebra
We show that Kirchhoff ’s law of conservation holds for non-commutative graph flows if and only if the graph is planar. We generalize the theory of (Euclidean) lattices to infinite dimension and consider the ring of algebraic integers as such a lattice.
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Basis reduction for layered lattices
Promotor: H.W. Lenstra
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Links between cohomology and arithmetic
Promotor: S.J. Edixhoven
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System Verification Lab (SVL)
The correctness of computational systems is of great importance to our society, since it becomes ever more reliant on the benefits of computing.
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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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Explainatory Data Analysis
The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.
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Joint Lectures on Evolutionary Algorithms - January 2024
Lecture
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Detection of Archaeological Sites in High Resolution Satellite Images
In this project we develop algorithms to automatically detect a particular type of archaeological sites in satellite images of the Alps.
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Software developments in automated structure solution and crystallographic studies of the Sso10a2 and human C1 inhibitor protein
Promotor: J.P. Abrahams, Co-Promotor: N.S. Pannu
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Want to know more about quantum? These games make it fun
Tic tac toe, but with quantum effects. That makes learning the principles of quantum technology a piece of cake. This is the aim of a new start-up founded by researcher Evert van Nieuwenburg: QuantumPlayed. ‘Quantum is all around us and everyone should be able to learn about it.’
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Sparsity-Based Algorithms for Inverse Problems
PhD defence
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‘Heritage decisions limit our ability to imagine alternative forms of society’
It is difficult to imagine a society other than a hierarchical nation-state. This is in part because we neglect alternative forms from the past, argues archaeologist Lewis Borck in the Journal of Contemporary Archaeology.