542 search results for “tekst in automation” in the Public website
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Leiden Learning & Innovation Centre
LLInC supports innovative and high-quality education, within Leiden University and in partnership with academic and social organisations.
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Research
At Leiden University, researchers from all disciplines work together to find answers and design innovations in the field of artificial intelligence.
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Efficient Tuning of Automated Machine Learning Pipelines
PhD defence
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Computational optimisation of optical projection tomography for 3D image analysis
Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.
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Archaeology
The Faculty of Archaeology
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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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Simona Demková Speaks at the 2024 Lawtomation Conference in Madrid
On 26-27 September, the Jean Monnet Centre of Excellence for Law and Automation at IE Law School in Madrid hosted the third edition of the Lawtomation conference, known for exploring critical legal issues related to automation, AI, and digital rights. This year’s discussions centered around the governance…
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Bacterial glycomimetics: synthesis and applications
This work has described synthetic strategies towards well-defined structures resembling capsular polysaccharide (CPS) fragments, CPS mimics, teichoic acid (TA) fragments as well as a third-generation ring-closing tandem metathesis (RCM) linker to better exploit the potential of automated synthesis.
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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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PhD Course Microscopy
This is a yearly event where we move in one week from the physics of light through the composition of the microscope, fluorescence microscopy and end up with some image analysis All the lectures are backed by practicals to really put your obtained knowledge into practice
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Interactive scalable condensation of reverse engineered UML class diagrams for software comprehension
Promotores: Prof.dr. J.N. Kok, Prof.dr. M.R.V. Chaudron, Co-Promotor: P. van der Putten
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Aspects of Record Linkage
Promotores: Prof.dr. J.N. Kok, Prof.dr. C.A. Mandemakers, Co-Promotor: G. Bloothooft
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Learning to look at LiDAR: combining CNN-based object detection and GIS for archaeological prospection in remotely-sensed data
The manual analysis of remotely-sensed data is a widespread practice in local and regional scale archaeological research, as well as heritage management.
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Humanities
The Faculty of Humanities
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Gendering Algorithms for AI Governance
A growing global concern is that automated recognition systems may exacerbate and reinforce existing biases that different societies have with respect to gender, age, race, and sexual orientation. Questions around the consequences of automated gender recognition are particularly poorly understood and…
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Efficient and Automatic Tomographic Reconstruction Algorithms
In this thesis we present several methods to automate tomographic reconstruction algorithms and several novel tomographic reconstruction algorithms with the focus on being easily applicable and efficient to use.
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Exploring Means to Facilitate Software Debugging
In this thesis, several aspects of software debugging from automated crash reproduction to bug report analysis and use of contracts have been studied.
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Automation, Ethics and Sustainability of Indirect (Pivot) AVT
Lecture, Leiden Translation Talks
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Computer Science (BSc)
We are becoming ever more dependent on automation systems in our daily lives. Computer Science is more than programming; you integrate maths and logic into the development of systems and solutions that can be applied in all fields - from business to healthcare.
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An Online Corpus of UML design models: Construction and empirical studies
Promotores: J. Kok, M. Chaudron (Chalmers University)
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Developing systems for high-throughput screening of infectious diseases using zebrafish
Promotor: Prof.dr. H.P. Spaink, Co-promotor: Prof. dr. A.H. Meijer
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Team
The team consists of
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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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About LLInC
We are committed to empowering the continuous development of higher education. With a team of multidisciplinary experts, LLInC supports innovative and high-quality education, within Leiden University and in partnership with academic and social organisations.
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Symposium on technology and privacy should offer new insights
Video conferencing from your sitting room and algorithms on social media that know your interests: new technology is an increasingly integral part of our lives. At the same time there is a growing call to protect our privacy, and this is causing friction, at the University too. In part because of the…
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LOFAR e-Infrastructure Group
The LOFAR e-infrastructure group is responsible for deploying and maintaining LOFAR processing on distributed e-infrastructure. A co-operation between SURFsara, Leiden University and ASTRON, the group develops software to integrate the LOFAR stack with processing pipelines. Our software can schedule…
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Working with LLInC
Welcome to your starting point for collaboration with the Leiden Learning & Innovation Centre. Whether you're part of Leiden University or an external organization, this page will direct you to the right pages and contacts, ensuring a smooth beginning to our collaboration.
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Crystal Cave
X-Ray Diffraction (XRD), Nuclear Magnetic Resonance (NMR) and Cryo-electron microscopy (Cryo-EM) are the three main methods for solving structures of macromolecules.
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Outcomes after automated oxygen control for preterm infants
PhD defence
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Centre for Legal Entrepreneurship and Innovation
The Centre for Legal Entrepreneurship and Innovation focuses on stimulating entrepreneurship and innovation in the legal sector. It builds a bridge between study and practice.
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Flagships
In CCLS several subgroups have formed, below you can find an overview of these groups with the names of the leading researchers and a short outline of the project.
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High-throughput screening for developmental and reproductive toxicity
Can chemical safety assessment be improved with zebrafish embryo-based reporter assays?
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Robots, Healthcare, and the Law
Eduard Fosch-Villaronga, Marie Skłodowska-Curie Postdoctoral Researcher at eLaw- Center for Law and Digital Technologies, just published a book on Robots, Healthcare, and the Law. Regulating Automation in Personal Care.
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Learning Russian as a second language through allusive (precedential) phrases: corpus-based study
When literature, cultural aspects, and data-driven language learning meet in a classroom.
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Meta-ethiek. Methode, theorieën, ontwikkelingen
Do objectively correct solutions to ethical dilemmas exist? Or is ethics always a matter of your opinion against my opinion? How do you know what to do? What kind of thing is ethics anyway? Can you be an expert in ethics?
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Archived
PhD Research Projects:
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More than a digital system: how AI is changing the role of bureaucrats in different organizational contexts
In this paper, Sarah Giest and Bram Klievink highlight the effects of AI implementation on public sector innovation. This is explored by asking how AI-driven technologies in public decision-making in different organizational contexts impacts innovation in the role definition of bureaucrats.
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Exploring Open-World Visual Understanding with Deep Learning
We are living in an information era where the amount of image and video data increases exponentially.
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Identification of novel targets in prostate cancer progression
Promotor: Prof.dr. B. van de Water, Co-promotor: E.H.J. Danen
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Fees, services & booking
Information about Fees, services & booking
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Network analysis methods for smart inspection in the transport domain
Transport inspectorates are looking for novel methods to identify dangerous behavior, ultimately to reduce risks associated to the movements of people and goods. We explore a data-driven approach to arrive at smart inspections of vehicles.
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Fall of Misinformation Series: Suzan Verberne
Misinformation spreads easily and fast. It gets presented as news, whereas actual news gets dismissed as fake. Conflicting streams of information allows all sides to cherry-pick whatever is most comfortable, boosting degrees of confidence and confusing the deliberation of both politicians and voters.…
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SewerSense
Scientists of Leiden University and Technical University Delft are going to predict how and where defects in sewer systems arise. They are working with light sensitive camera’s, based on new automated multi-sensor inspection with stereo vision and laser range scanning. Their models are going to process…
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TAILOR - Trustworthy AI through the integration of learning
The quest for Trustworthy AI is high on both the political and the research agenda, and it actually constitutes TAILOR’s first research objective (H1) of developing the foundations for Trustworthy AI. It is concerned with designing and developing AI systems that incorporate the safeguards that make…
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Working Paper Series
The Working Paper Series reflects the yet-to-be published work of eLaw researchers and the unedited versions of manuscripts that have been accepted for publication by journals and books.
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Law
We are very happy to welcome you to Leiden Law School to spend a semester or year studying with us. Here you can find information on course registration, schedules and more.
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Innovative sample preparation and handling strategies for automated and high-throughput metabolomics
PhD defence
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Automated Machine Learning for Dynamic Energy Management using Time-Series Data
PhD defence
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Smart Courts, Smart Justice? Automation and Digitisation of Courts in China
PhD defence
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Data Visualization Challenge
Wouter Eekhout, our data magician, came in 3d place in the #LinksSDGs - Natural language processing and data visualization challenge.