646 search results for “algorithms” in the Public website
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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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Meet the author
Several times per year, the Europa Institute organizes a ‘Meet the Author’ event. In the context of this event series external academics come to Leiden to discuss a recent publication by their hand. The event typically starts with a conversation between a member of the Europa Institute and the author,…
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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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Veni grant for Melanie Fink
Melanie Fink, Assistant Professor of European law, has received a Veni grant from the Dutch Research Council (NWO). This research grant will allow Dr Fink to develop her ideas on ‘Gateways for Humanity: The Duty to Reason in the Automated State’ over a period of three years.
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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
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Online price discrimination, justice and regulation
The data-driven economy allows for the collection and processing of large amounts of data. Such data can be used to optimize profits by (dynamically) differentiating prices for different consumers.
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Pascal chair 2023
Peter Flach is Professor of Artificial Intelligence at the University of Bristol. An internationally leading scholar in the evaluation and improvement of machine learning models using ROC analysis and calibration, he has also published on mining highly structured data, on knowledge-driven and explainable…
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ANO-NET: Anonymity in Complex Networks
This project develops methods for ensuring the anonymity of individuals in social network data.
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Discoveries in 2023
From nanoparticles to colliding ice planets and from biological origami to new x-ray scanner techniques: this year again, our scientists have made wonderful discoveries. From the largest numbers to the smallest molecules and from the oldest galaxies up to the latest algorithms, take a look at each institute's…
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Ada Lovelace Distinguished Lecture Series
The Ada Lovelace Distinguished Lecture Series brings outstanding computer scientists from around the world to Leiden University. The lecturers will share exciting ideas and results from the forefront of computer science.
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On hard real-time scheduling of cyclo-static dataflow and its application in system-level design
Promotor: Prof.dr. E.F.A. Deprettere, Co-promoter: Todor P. Stefanov
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ELSA Lab Defence
Embedding ethical legal and societal aspects for responsible military AI.
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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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POST_SIGNATURE
To what extent is creative ownership in contemporary (graphic) design practices changing now that we are co-creating with machines? And can machines have copyrights, too?
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The Hague Centre for Digital Governance
The rise of the digital age affects public governance in many ways. Digitalisation and data impact every aspect of public governance and policy. Within Leiden University’s Public Administration institute, based in The Hague -the administrative capital of the Netherlands- our centre seeks to understand…
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CWTS
The Centre for Science and Technology Studies (CWTS) is an interdisciplinary research institute at Leiden University that studies scientific research and its connections to technology, innovation, and society.
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Theorizing Technologically Mediated Policing in Smart Cities: An Ethnographic Approach to Sensing Infrastructures in Security Practices
Smart digital infrastructures predicated on myriads of sensors distributed in the environment are often rendered as key to contemporary urban security governance to detect risky or suspicious entities before or during a criminal event takes place. At the same time, they often involve surveillance of…
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Research
The members of LUXs develop and validate new methods and algorithms for analysing data, and apply these in a wide range of problems. Their research ranges from multidisciplinary applications to proving mathematical theorems.
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Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
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Finding and valorizing new antibiotics using AI
Antibiotics are a class of medicine most people take for granted. But pathogenic bacteria are becoming more and more resistant to our antibiotics, and this poses a great challenge for future treatments. There is thus a great societal need to identify new molecules that can address new targets and be…
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Learning-based Representations of High-dimensional CAE Models for Automotive Design Optimization
In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…
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Judgmental Adjustments in Revenue Management
On 12 November 2019, Larissa Koupriuchina defended her thesis 'Judgmental Adjustments in Revenue Management'. The doctoral research was supervised by Prof. J.I. Van der Rest.
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Theoretical Physics
In the spirit of 'unity in diversity', our objective is to promote insight into and appreciation for the wonder that the same physical laws and mathematical concepts apply to the whole of nature, from the largest to the smallest energy and length scales. We strive for the application of abstract theoretical…
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Structural Properties of Single Server Queueing Systems: Efficient Methods via Lumping and Dynamic Programming
This thesis consists of two main parts. The first part (Chapters 2 and 3) deals with a class of Markov process called Quasi-Skipfree (QSF) processes.