897 search results for “machine learning” in the Public website
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Bertram de Boer
Science
b.f.de.boer@cml.leidenuniv.nl | +31 71 527 2727
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Niki van Stein
Science
n.van.stein@liacs.leidenuniv.nl | +31 71 527 2727
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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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Data Driven Modeling & Optimization of Industrial Processes
Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.
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LTP Lecture Machine Learning in Science: Just a toy?
Lecture
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Radiomics-based machine learning classification of bone chondrosarcoma
PhD defence
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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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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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High-contrast spectroscopy of exoplanet atmospheres
More than 5,000 exoplanets have been found over the past couple of decades. These exoplanets show a tremendous diversity, ranging from scorching hot Jupiters, common super-Earths, to widely separated super-Jupiters on the planet/brown dwarf boundary.
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2 PhD Candidates, Reinforcement Learning for Sustainable Energy
Science, Leiden Institute of Advanced Computer Science (LIACS)
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Proteins in harmony: Tuning selectivity in early drug discovery
This thesis describes the importance of being able to control the selectivity of potential drug candidates.
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Transforming data into knowledge for intelligent decision-making in early drug discovery
Promotor: A.P.IJzerman Co-promotor: A. Bender
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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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Sparsity-Based Algorithms for Inverse Problems
Inverse problems are problems where we want to estimate the values of certain parameters of a system given observations of the system. Such problems occur in several areas of science and engineering. Inverse problems are often ill-posed, which means that the observations of the system do not uniquely…
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ECOLE: Experience-based COmputation: Learning to optimisE
Researchers of the Leiden Institute of Advanced Computer Science (LIACS) will develop a training programme the next generation of early stage researchers (ESRs). During a four years project they will be trained to approach industrial challenges in a holistic manner by developing solutions in an automotive…
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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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Hunting for the fastest stars in the Milky Way
The high velocity tail of the total velocity distribution of stars provides essential insight into fundamental properties of the Galaxy.
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Towards High Performance and Efficient Brain Computer Interface Character Speller: Convolutional Neural Network based Methods
A P300-based Brain Computer Interface character speller, also known as P300 speller, has been an important communication pathway, under extensive research, for people who lose motor ability, such as patients with Amyotrophic Lateral Sclerosis or spinal-cord injury because a P300 speller allows human-beings…
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Yingjie Fan
Science
y.fan@liacs.leidenuniv.nl | +31 71 527 4799
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Jian Wang
Faculteit der Sociale Wetenschappen
j.wang@cwts.leidenuniv.nl | +31 71 527 2727
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Yolinde van Paridon
Faculteit der Sociale Wetenschappen
y.van.paridon.3@fsw.leidenuniv.nl | +31 71 527 1488
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XR (Extended Reality) to learn global challenges
Development of effective VR training for International Law of Armed Conflict (ILAC)
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To explore the drug space smarter: Artificial intelligence in drug design for G protein-coupled receptors
Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…
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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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Babak Rezaeedaryakenari
Faculteit der Sociale Wetenschappen
s.rezaeedaryakenari@fsw.leidenuniv.nl | +31 70 800 3687
- SAILS Lunch Time Seminar: Machine learning for spatio-temporal datasets + SAILS data observatory
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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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Tessa Verhoef: 'An algorithm still has a lot to learn from human interaction'
If an algorithm has to learn to understand language, simply having a lot of data doesn’t help much. Like us, a computer has to learn the language in interaction with others. Tessa Verhoef is fascinated by how this interaction works.
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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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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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Multimodal Data and Machine Learning in the Study of Psychiatric Disorders
PhD defence
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after anterior cervical discectomy: From inferential statistics to Machine Learning
PhD defence
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sarcoma and non-sarcoma clinical data with statistical methods and machine learning techniques
PhD defence
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Teachers’ professional learning preferences
How do secondary school teachers’ professional learning preferences relate to teaching experience and the school context?
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Artifical intelligence gets a boost from quantum computing
Machine learning - on classical computers- has made great progress in the past five years. Computer translation of speech and text is just one example. In Leiden, some researchers expect that machine learning, empowered by quantum systems, even if they only contain a few dozen qubits, can lead to a…
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Multi-dimensional feature and data mining
In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.
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Unraveling temporal processes using probabilistic graphical models
Real-life processes are characterized by dynamics involving time. Examples are walking, sleeping, disease progress in medical treatment, and events in a workflow.
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Learning labs in conservatoire education
Music profession requires strong reflective, collaborative, creative and improvisational skills, yet prevailing one-to-one tuition in conservatoire education focuses mainly on transmission of craft skills. Examining effects of students' collaborative and experiential learning, as in learning labs, creates…
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Automated Design and Analysis of Algorithms
The Automated Design and Analysis of Algorithms (ADA) research group pursues the development of Artificial Intelligence techniques that complement, rather than replace, human intelligence.
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Pattern mining for label ranking
Promotor: J.N. Kok, Co-promotor: C.M. Soares, A.J. Knobbe
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Coffee Machines & Personal Mugs
Have you always wanted to use your own coffee mug at the university coffee machines but it was never accepted? We have good news for you!
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Florence Nightingale Colloquium
Here you can find the recordings of previous Florence Nightingale Colloquia.
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Andreas Sauter
Science
a.w.m.sauter@liacs.leidenuniv.nl | +31 71 527 4799
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Nonverbal Learning Disorder (NLD)
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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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Previous SAILS Workshops
SAILS likes to occasionally organise workshops about topics that relate to our programme. On this page you can find more information about previous workshops.
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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.
- Data Science & Artificial Intelligence
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Scientific computing for Drug Discovery in Python and/or R
Data analysis with Python and R are rapidly becoming essential skills for modern scientists. Therefore, we are offering courses to develop your scientific computing skills. Those courses are optional for LACDR PhD candidates.
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Sleep and learning in children
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