1,298 search results for “deep learning” in the Public website
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Learning the Right Lessons for the Next Pandemic
This report highlights the huge potential of public inquiries to ensure that lessons are learned from COVID-19 to help the UK prepare for a future pandemic.
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Contact
The program group Learning and Behavior Problems in Education is located in the Faculty of Social and Behavioural Sciences of Leiden University near Central Station.
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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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Data Science
The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.
- ELS lab meeting - Lunch & Learn by Jessie Pool
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Modular learning: Enrolling in a single course
Do you want to be part of this unique programme, discuss cutting-edge topics of cyber security with other professionals, but do you not have time to enroll in this full master programme?
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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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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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Cleared for take-off, Game-based learning to prepare airline pilots for critical situations
Over the last decades, aviation safety has improved strongly. As a downside, airline pilots do not have as many opportunities to develop through experience the competencies that they need in critical situations.
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History
Life Sciences Artificial Intelligence Data Science
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Llanes-Ortiz’s Leiden Experience: ‘Indigenous stories contain knowledge from deep past’
Back in 2016, Genner Llanes-Ortiz joined the Faculty of Archaeology as an assistant professor in the Heritage of Indigenous Peoples research group. Genner works on the crossroads of anthropology, archaeology, heritage, and human rights. ‘I am investigating how contemporary indigenous peoples are re-connecting…
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Imaging & Intervention (MSc)
This specialisation focuses on two important trends in health care: early diagnosis and developing the most targeted patient-specific treatment possible with the shortest possible recovery time and minimal side effects.
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Unravelling cell fate decisions through single cell methods and mathematical models
Despite being the object of intense study, embryonic development has been difficult to model due to a number of reasons. First, complex tissues can be comprised of many cell types, of which we probably only know a subset.
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What we can learn from hi-tech nature
Biodiversity in the Netherlands is having a tough time. Professor of Natural Capital Koos Biesmeijer combines research with practical advice: from the greening of industrial parks to solutions inspired by hi-tech nature. Inaugural lecture 9 March.
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More efficient drug development with the help of computer models
The coronavirus has the world in its grip. Finding a cure has never been more important. Unfortunately, the development of new drugs for treatment of the COVID-19 disease caused by the virus and development of a vaccine are complex, lengthy, and above all costly processes. With the help of computer…
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How do teachers learn in a work placement programme?
Na Zhou (PhD at ICLON) researched how vocational teachers’ learning takes place in a work placement programme and how their learning supports their teaching in school. Defence on 1 March.
- Teacher of the Year 2017 throws students in at the deep end with supervision
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Simple rule learning is not simple: Studies on infant and adult pattern perception and production
On December 11th, Andreea Geambasu succesfully defended her doctoral thesis and graduated. The Leiden University Centre for Linguistics congratulates Andreea on this great result.
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Professional learning of vocational teachers in the context of work placement
Work placement as a professional development programme for vocational teachers has been widely implemented. This dissertation provides insight into vocational teachers’ learning process in this programme within Chinese vocational education.
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Segments and rules: a comparative study on linguistic rule learning mechanisms
A central and much debated topic in the study of language acquisition concerns the nature of the learning mechanisms that are required. Are the computational and learning mechanisms that guide learning about language structure special and specific to language or humans?
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characteristics of a negotiated assessment procedure to promote teacher learning
The literature indicates that teacher professional development and learning may be improved by using formative assessment procedures. This thesis focuses on a specific form of formative assessment, negotiated assessment, which is characterised by the exchange of views between assessor and assessee and…
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Algorithms can also learn without examples
In donut-shaped buildings, particle accelerators take super-detailed X-ray images. Yet those images are not good enough to learn how to drive on hydrogen for example. Mathematics PhD student Allard Hendriksen has developed an algorithm that improves the images without having to learn from data from…
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Cosima Nimphy
Faculteit der Sociale Wetenschappen
c.a.nimphy@fsw.leidenuniv.nl | +31 71 527 6457
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Iris Koele
Faculteit der Sociale Wetenschappen
i.j.koele@fsw.leidenuniv.nl | +31 71 527 2727
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Folke Glastra
Faculteit der Sociale Wetenschappen
glastra@fsw.leidenuniv.nl | +31 71 527 2727
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Simone Rijksen
ICLON
s.rijksen@iclon.leidenuniv.nl | +31 71 527 4059
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Tom Kouwenhoven
Science
t.kouwenhoven@liacs.leidenuniv.nl | +31 71 527 4799
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Surendra Balraadjsing
Science
s.balraadjsing@cml.leidenuniv.nl | +31 71 527 2727
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Bart Vogelaar
Faculteit der Sociale Wetenschappen
b.vogelaar@fsw.leidenuniv.nl | +31 71 527 6022
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Evin Aktar
Faculteit der Sociale Wetenschappen
e.aktar@fsw.leidenuniv.nl | +31 71 527 5228
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‘The university has many roots in the colonial past. How deep and wide were they?’
Historians recently started preliminary research on Leiden University’s role in colonialism and historical slavery. Our knowledge about this is too limited and fragmented. They are looking with fresh eyes at Leiden’s archives and collections. An interview with historians Alicia Schrikker and Ligia G…
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Learner–learner interaction in digital learning environments: what and how are we measuring?
Galikyan’s dissertation examines how the multidimensionality of learnerlearner interaction data and the multifacetedness of learner-learner interaction itself impact the measurement of learner-learner interaction in digital learning environments.
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Stephan Raaijmakers: 'Humans and systems have to learn to understand each other better'
You can ask virtual assistant Siri about the weather, but you can’t have a real conversation with it yet. You can’t refer to anything that’s been said before, or ask the system why it says what it says. Stephan Raaijmakers, Professor by Special Appointment from TNO, hopes to change this.
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Latest hardware for computer research on medical imaging
The LIACS Media Lab has received a research grant from the worldwide leading graphics hardware company NVIDIA. The grant exists of newly developed hardware utilizing thousands of processors. LIACS researchers will use it to investigate deep learning in understanding imagery from sources such as MRI…
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Blended learning activates students
Recently, the booklet 'Blended Learning, het versterken van het onderwijs op de Universiteit Leiden' has been launched. Sonja Wagenaar, educational adviser at ICLON, was project manager of the three-year Blended Learning Program in which blended learning training was implemented in the studies Psychology,…
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Quantum machine learning: on the design, trainability and noise-robustness of near-term algorithms
This thesis addresses questions on effectively using variational quantum circuits for machine learning tasks.
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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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The learning portfolio as a tool for stimulating reflection by student teachers
The topic of this study is the portfolio that is being used in a teacher education institute as an instrument for stimulating reflection on their development as teachers by student teachers.
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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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Stacked Domain Learning for multi-domain data: a new ensemble method
The aim of this project is to develop accurate but interpretable ensemble learning methods for high-dimensional multi-domain data.
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Supporting medical teachers' learning: redesigning a program using characteristics of effective instructional development
In this research project characteristics of effective instructional development were identified that are appealing to medical teachers and relevant for medical education.
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Multi-functional urban Green space planning based on transdisciplinary learning (MultiGreen)
Green infrastrucuture (GI) like urban farm and green roofs could provide many beneficial functions in cities. These include for example food production, flood prevention or increasing biodiversity. MultiGreen project aims at developing an integrated modelling tool to support…
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'Learning to see, or how to make sense of the skillful things skateboarders do'
Discover the connection between skateboarding and sensory ethnography in 32 of The Routledge International Handbook of Sensory Ethnography as part of the Multi-modal sensory ethnography.
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Stephan Raaijmakers appointed Professor by special appointment of Communicative AI (Artificial Intelligence)
Since November 2019 Stephan Raaijmakers is Professor by special appointment of Communicative AI (Artificial Intelligence) at LUCL. Raaijmakers investigates how linguistics can help make Artificial Intelligence smarter.
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Michael Lew explores how computers can see
Learning how computers can process and describe images just like human beings do. It is one of the key elements of the research of Michael Lew, who sees Deep Learning as a promising way to achieve this goal. On the 1st of January 2021, he was appointed Professor of Deep Learning at the Leiden Institute…
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Past events
Conferences, Workshops and Lectures showcasing research and tools in Digital Humanities.
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Vincent Niochet investigates intercultural connectivity in the deep past with an NWO PhDs in the Humanities grant
For already two years, Vincent Niochet has been affiliated with the Leiden Faculty of Archaeology as an external PhD candidate. Now, he has been awarded an NWO PhDs in the Humanities grant, allowing him to continue his research as a paid PhD staff member. ‘The past two years have been quite challenging,…
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The Apinaye teaching and learning process as observed in the manufacturing of their musial instruments
This dissertation aims to establish a dialogue between ethnomusicology (more specifically indigenous organology), the anthropology of art and the culture of the Apinaye peoples, in order to understand how the musical objects of these peoples are learned and taught, and thus to understand its musical…
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drawing skill: Exploring the role of parental support and cultural learning
Drawing is one of the most unique human behaviours. Like language, drawing is a mode of communication and a cognitive tool that from an early age allows us to interact with others. Is the early development of drawing skill influenced by the social environment? If so, how?
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Public leaders’ organizational learning orientations in the wake of a crisis and the role of public service motivation
This study explores public leaders’ organizational learning orientation in the wake of a crisis. More precisely, we study the association between public leaders’ public service motivation and their learning orientation (instrumental versus political).