774 search results for “algorithms” in the Public website
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Converting cultural heritage into usable data
How can we make the information in handwritten historical research reports accessible and searchable? Data scientists at Leiden University are working with other universities on a method that will improve access to cultural heritage.
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IIAFSARS - Identification of irregular archaeological features in northern South America forest using remote sensing methods
Researchers using remote sensing technologies have characterized pre-Columbian regularly-shaped earthworks in forests in Central America and the Amazon. In tropical forested mountains in South America, two challenges arise when identifying archaeological sites through remote sensing. Firstly, sites…
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Artificial Intelligence learns faster with quantum technology
An international collaboration, including Leiden physicist and computer scientist Vedran Dunjko, showed that quantum technology can speed-up the learning process of artificial intelligence (AI). To prove this, the physicists and computer scientists used a quantum processor for single photons. Their…
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Automated de novo metabolite identification with mass spectrometry and cheminformatics
Promotor: Prof.dr. T. Hankemeier, Co-Promotores: T. Reijmers, L. Coulier
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Improving robustness of tomographic reconstruction methods
Promotor: Prof.dr. K.J. Batenburg
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Pascal chair at LIACS
The Leiden Institute of Advanced Computer Science (LIACS) of Leiden University proudly establishes the Blaise Pascal chair. The chair applies for one year and is meant to strengthen the cooperation of the Leiden computer science research with foreign institutes.
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Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box ProblemsBagheri, S.
Optimization tasks in practice have multifaceted challenges as they are often black box, subject to multiple equality and inequality constraints and expensive to evaluate.
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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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In Pursuit of Next-Generation Lipopeptide Antibiotics
Can new variants of daptomycin and the polymyxins be found?
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About us
The Leiden Institute of Advanced Computer Science (LIACS) is a centre of excellence for multidisciplinary research and education in computer science and artificial intelligence (AI).
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Administrative burden in digital public service delivery
How does the social infrastructure affect administrative burdens associated with digital government services? The paper 'Administrative burden in digital public service delivery: The social infrastructure of library programs for e-inclusion' published in the Review of Policy Research by Sarah Giest…
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The interpretation of physical activity wearable data and its relation with metabolic and brain health in older adults
Quantifying physical activity (using accelerometers) and combining the frequency and intensity of activities with health data (brain MRI, traditional clinical parameters and metabolomics) is of utmost importance to monitor mobility and health among older individuals and study health promotion during…
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Novel approaches for direct exoplanet imaging: theory, simulations and experiments
The next generation of high-contrast imaging instruments on space-based observatories requires sophisticated wavefront sensing and control in addition to a high-performance coronagraph.
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Fuzzy systems and unsupervised computing: exploration of applications in biology
In this thesis we will explore the use of fuzzy systems theory for applications in bioinformatics.
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Latency, Energy, and Schedulability of Real-Time Embedded Systems
Systems are called real-time systems, if the correctness of the system does not only depend on the correctness of the system output but also on whether the output is delivered on time.
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Chaotic dynamics in N-body systems
Promotor: Prof.dr. S.F. Portegies Zwart, Co-promotor: D.C. Heggie
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Legibility in the Age of Signs and Machines
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…
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DAMIOSO - data mining on high volume simulation output
Modern computer-aided simulation tools used by various industries produce gigabytes of data. But currently, they take days and even up to weeks of computation effort. To make the best use of all these data, the DAMIOSO project focuses on developing algorithms and tools for managing, mining, and optimizing…
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Socially Embedded AI Systems
This interdisciplinary research project explores several adaptive machine learning methods which can give insight into the interaction between human and machine. The ultimate goal is open and natural communication between humans and AI that should result in mutual trust, cooperation and coordination…
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The unit residue group
The unit residue group, to which the present thesis is devoted, is defined using the norm-residue symbol, which Hilbert introduced into algebraic number theory in 1897.
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AI-SUPPORTED SYNTHESIS OF SHEPARD-RISSET FREQUENCY SETS
Implementation of the new sound synthesis and analysis method in music composition.
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Data-driven Predictive Maintenance and Time-Series Applications
Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.
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Supramolecular & Biomaterials Chemistry
The Supramolecular & Biomaterials Chemistry group comprises the PIs Alexander Kros, Roxanne Kieltyka, Gregory Schneider and Sander Wezenberg, and is active in the field of self-assembly of amphiphilic peptides and applying them in supramolecular chemistry.
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Geometric quadratic Chabauty and other topics in number theory
This thesis is is made of three parts. The first part describes a generalization of the Chabauty's method, that can be used to determine the rational points of a curve such that s+g>r+1, where g is the genusof the curve, r is the rank of the Mordell-Weil group of the jacobian of the curve and s is…
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Conspiracy thinking and social media use are associated with ability to detect deepfakes
Deepfakes are videos that have been manipulated to replace one person’s likeness with that of another. They can be difficult to distinguish from authentic videos. In our study, we found that people who score high on conspiracy thinking and people who use social media more are better at distinguishing…
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Aria of the Dutch North Sea
Promotores: C. J. ten Cate; M. A. Ainslie. Co-promotor: W. Slabbekoorn
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Virtual Neanderthals
This study presents an agent-based simulation model exploring the patterns of presence and absence of Late Pleistocene Neanderthals in western Europe.
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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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Research software
The term research software encompasses many different things: source code files, algorithms, scripts, computational workflows and programs that were created during the research process or for a research purpose.
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Research
Computers are becoming ever more powerful and are taking on more complex tasks. The Leiden Institute of Advanced Computer Science (LIACS) contributes to revolutionary scientific research and applies the latest inventions in the field, offering answers to today’s questions of society.
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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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Calculated Moves: Generating Air Combat Behaviour
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.
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Machine learning and computer vision for urban drainage inspections
Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.
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Multi Modal Representation Learning and Cross-Modal Semantic Matching
Humans perceive the real world through their sensory organs: vision, taste, hearing, smell, and touch. In terms of information, we consider these different modesalso referred to as different channels of information or modals.
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Faint Quasars at Very Low Frequencies
In this thesis, we use low-frequency and high-frequency radio observations to address the following questions regarding quasars: is the radio loud/quiet quasar dichotomy real?
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Casting light on the ƞ Carinae puzzle
Promotor: Prof.dr. V. Icke, Co-Promotor: T.I. Madura
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About the programme
The two-year Artificial Intelligence programme (120 EC) includes mandatory core courses and electives, as well as a Master's Thesis Research Project.
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About the programme
The two-year Data Science: Computer Science programme consists of 120 European Credit Transfer System (EC) points and includes courses and electives as well as a Master's Thesis Research Project.
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About the programme
The two-year Bioinformatics programme (120 EC) includes mandatory core courses and electives, as well as a Master's Thesis Research Project.
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About the programme
The two-year Foundations of Computing programme (120 EC) includes mandatory core courses and electives, as well as a Master's Thesis Research Project.
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About the programme
The specialisation combines one year of Computer Science research (60 – 80 EC) with one year of science communication courses, internships and research (40-60 EC).
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On the optimization of imaging pipelines
In this thesis, topics relating to the optimization of high-throughput pipelines used for imaging are discussed. In particular, different levels of implementation, i.e., conceptual, software, and hardware, are discussed and the thesis outlines how advances on each level need to be made to make gains…
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Algebra, Geometry and Number Theory
The research of the Algebra, Geometry and Number Theory cluster tries to bridge the gap between abstract theory and the world of algorithms and applications.
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Research Schools
Many researchers of the Faculty of Science are members of a research school related to their area of expertise. Research schools aim at collaboration of researchers from different faculties in the same university (interfaculty schools) or in different universities (interuniversity schools).
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Leiden quantum technology research very successful in funding call
No less than six Leiden projects received a grant for quantum research from the national growth programme Quantum Delta NL and the NWO. After all, in order to boost quantum technology not only industry is needed, but also science. Research towards new sensors, faster algorithms and quantum materials,…
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Seminars
LCN2 organizes seminars on the last Friday of each month.
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Web Privacy Measurement in Real-Time Bidding Systems, A Graph- Based Approach to RTB system classification
On 29 January 2019, Robbert van Eijk defended his thesis 'Web Privacy Measurement in Real-Time Bidding Systems, A Graph- Based Approach to RTB system classification'. The doctoral research was supervised by Prof. dr. H.J. van den Herik.
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Optimally weighted ensembles of surrogate models for sequential parameter optimization
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.
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SAPPAO - Optimizing the flight times of airplanes using data science
The SAPPAO project aims to optimise the accuracy and reliability of predicting scheduled flight times. The full name of the project is 'A Systems Approach towards Data Mining and Prediction in Airlines Operations'.
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Quality-driven multi-objective optimization of software architecture design: method, tool, and application
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich