584 search results for “algorithms” in the Public website
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With this algorithm, new medicines can be found more quickly
Did he dare take a gamble with his PhD research? Jeroen Methorst didn’t have to think long about it. It could fail or turn out very well. The latter is the case. Methorst developed a computer system that helps researchers find the protein they need. ‘Our whole group is now using this program.’ Methorst…
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EuDEco/eLaw panel on accountability in algorithmic networks at CPDP2018
As partner within the EuDEco-poject, the Centre for Law and Digital Technologies (eLaw) organized a panel titled “Filling accountability holes in algorithmic networks” as part of the 11th annual conference on Computers, Privacy and Data Protection (CPDP), January 24-26 2018 in Brussels.
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Meuwese and Çapkurt awarded funding for algorithmic profiling research
The social coalition 'Over Informatie Gesproken' (meaning ‘Speaking of Information’) recently approved eleven grant applications for research aimed at improving the information relationship between the government and the citizen. Meuwese and Çapkurt’s grant application for research into algorithmic…
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Chenyu ShiFaculty of Science
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Algorithms and data behind Leiden Ranking in public domain
The Leiden Ranking – Open Edition is completely transparent. The ranking compiled by the CWTS uses open data and publishes the algorithms that are used.
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Somayeh DjafariFaculteit der Rechtsgeleerdheid
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Tools for public authorities to be more transparent about algorithmic profiling
Public authorities fail to inform citizens, or inform them too little or too late, about the use of algorithmic profiling in administrative decisions. This is clear from research conducted by Anne Meuwese and Fatma Çapkurt on the legally and practically responsible use of profiling algorithms.
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Benchmarking Discrete Optimization Heuristics
This thesis involves three topics: benchmarking discrete optimization algorithms, empirical analyses of evolutionary computation, and automatic algorithm configuration.
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Joon Hyung LeeFaculty of Science
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Marcello BonsangueFaculty of Science
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Deterministic equation solving over finite fields
Promotor: H.W. Lenstra
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Data structures for quantum circuit verification and how to compare them
Quantum computers are a proposed fundamentally new type of computer. They aim to perform some computations much faster than previously possible by exploiting phenomena at the quantum scale, called superposition and entanglement.
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Arend-Jan QuistFaculty of Science
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A much sharper picture of the universe with new algorithms and supercomputers
With new algorithms and supercomputers, an incredibly detailed radio map of the universe was created. Now astronomers can look at radio data of galaxies with much more precision. This was published in Nature Astronomy by Leiden PhD student Frits Sweijen and colleagues.
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Simona Demkova on ‘Algorithms as Future Decision-Makers’ at the University of Tuscia
On 13 June 2024, the University of Tuscia (Viterbo, Italy) hosted a doctoral seminar in the series 'Law and Artificial Intelligence', organised by the PhD programme in 'Law of European and Global Markets. Crisis, Rights, Regulation' and coordinated by Professor Rosa Ruggiero.
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Francien DechesneFaculteit der Rechtsgeleerdheid
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Massively collaborative machine learning
Promotor: J. N. Kok, Co-promotor: A. J. Knobbe
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Methods to simulate fermions on quantum computers with hardware limitations
This thesis is a collection of theoretical works aiming at adjusting quantum algorithms to the hardware of quantum computers.
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Special edition Information Polity
In this special edition of Information Polity there is a focus on the transparency challenges of using algorithms in government in decision-making procedures at the macro-, meso-, and micro-levels.
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DNA expressions - A formal notation for DNA
Promotores: J.N. Kok, H.J. Hoogeboom
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Aspects of the analysis of cell imagery: from shape to understanding
In this thesis, we have studied cell images from two types of cells, including pollen grains and the immune cells, neutrophils. These images are captured using a bright field microscope and a confocal microscope.
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On the computation of norm residue symbols
An algorithm is discussed to compute the exponential representation of principal units in a finite extension field F of the p-adic rationals.
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Guiding evolutionary search towards innovative solutions
Promotors: Prof.dr. T.H.W. Bäck, Prof.dr. B. Sendhoff (Technische Universität Darmstadt)
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Inverse Jacobian and related topics for certain superelliptic curves
To an algebraic curve C over the complex numbers one can associate a non-negative integer g, the genus, as a measure of its complexity.
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The Many Faces Of Online Learning
In this dissertation several settings in the Online Learning framework are studied. The first chapter serves as an introduction to the relevant settings in Online Learning and in the subsequent chapters new results and insights are given for both full-information and bandit information settings.
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Thomas Bäck wint IEEE Award
Thomas Bäck wins the 2015 IEEE CIS Evolutionary Computation Pioneer Award for his contributions in synthesizing evolutionary computation.
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Quantum Limits
Pushing the boundaries of quantum theories – that’s exactly what the physicists at Leiden University excel at. Researchers in Leiden are launching eight new quantum research projects as part of the Quantum Limits consortium.
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Meta-heuristics for vehicle routing and inventory routing problems
Promotores: T.H.W. Bäck, Y. Tan, Co-promotor: M.T.M. Emmerich
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Reconstruction Methods for Combined HAADF-STEM and EDS Tomography
The research in this thesis is focused on tomographic reconstruction based on two imaging modalities in electron microscopy.
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Matthijs van LeeuwenFaculty of Science
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Guilherme PerinFaculty of Science
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Vincent CroftFaculty of Science
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Friso SeltenFaculty of Governance and Global Affairs
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Complex multiplication of abelian surfaces
Promotor: Peter Stevenhagen
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Vasilii BokovFaculty of Science
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Felix FrohnertFaculty of Science
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Dirk van der HoevenFaculty of Science
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Statistical Science
The research programme Statistical Science is concerned with the analysis and interpretation of masses of data, the quantification of uncertainty using probability models, and the development and benchmarking of algorithms and methods with these aims.
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Joint Lectures on Evolutionary Algorithms - December 2024
Lecture
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Error bounds for discrete tomography
Promotores: K.J. Batenburg, B. Koren
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Quantum Lab (aQa)
Quantum computing is a novel paradigm for computation, which is nearing real-world impact with the coming generation of limited, but nonetheless powerful quantum devices.
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Frank TakesFaculty of Science
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The gravitational billion body problem
Promotor: Prof.dr. S. Portegies Zwart
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Joint Lectures on Evolutionary Algorithms - November 2023
Lecture
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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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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
Lecture
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Designing Ships using Constrained Multi-Objective Efficient Global Optimization
A modern ship design process is subject to a wide variety of constraints such as safety constraints, regulations, and physical constraints.
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Multicriteria Optimization and Decision Analysis
The focus of the Multicriteria Optimization and Decision Analysis (MODA) group is to develop foundations of methods in multi-objective optimization.
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Natural computing
Research in the natural computing group covers theoretical foundations, the development of new algorithms, and interdisciplinary applications of natural computing methods.