1,300 search results for “deep learning” in the Public website
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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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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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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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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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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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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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Robert Verpoorte
Science
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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…
- Teacher of the Year 2017 throws students in at the deep end with supervision
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PhD Candidate on Multi-Objective Optimization and Machine Learning for Hydrogen Technologies
Science, Leiden Institute of Advanced Computer Science (LIACS)
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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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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).
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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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Information activities
Do you want to know more about Cultural Anthropology and Development Sociology and what it is like to study in Leiden? Come to our online or on campus information events.
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Using a practical teaching model by beginning teachers learning to design lessons.
Beginning teachers often experience difficulties making activating lessons. This study investigates how and if the practical teaching model can offer them a hand in learning to design lessons.
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Serge Rombouts: 'AI is learning from brain scans and helping find a diagnosis'
Serge Rombouts is a physicist whose PhD thesis was about functional MRI (fMRI). This visualises activity in regions of the brain. The appealing images of glowing brain regions that emerge from the computer are the result of calculations. According to Rombouts, this isn’t proper artificial intelligence.…
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CircuMat | Circular city & Industry park MATerials metabolism learning package and assessment tool
Some examples of research questions include: What framework of circular strategies should local practitioners use? How should practitioners organize their monitoring of the circular economy activities in the region of interest? What are the main products that have the most circular potential in the…
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The diverse roles of integrin α3β1 in cancer: Lessons learned from skin and breast carcinogenesis
In this thesis, we aim to shed light on the diverse and often opposing roles of integrin α3β1 in cancer.
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Automated Machine Learning for Dynamic Energy Management using Time-Series Data
PhD defence
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Young Hae Choi
Science
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investigation of physics teachers' belief systems about teaching and learning physics
This doctoral thesis comprises four studies on the content and structure of physics teachers’ belief systems about teaching and learning physics in secondary education in the Netherlands.
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PhD Candidate, Edge Neuromorphic AI towards Bio-signal Processing for Healthcare
Science, Leiden Institute of Advanced Computer Science (LIACS)
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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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New paradigm for visual recognition
Leiden University computer scientists Yu Liu, Yanming Guo and Michael Lew are a step closer to their ultimate goal: search engines with visual recognition. Their publication of a new algorithm for fusing multi-scale deep learning representations has been received with great enthusiasm. No other algorithm…
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Estimative Intelligence in European Foreign Policymaking: Learning Lessons from an Era of Surprise
This book is the first comparative study of estimative intelligence and strategic surprise in a European context, complementing and testing insights from previous studies centred on the United States. It does extensive empirical analysis of open-source material and interviews in relation to three cases…
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Our people
Some examples of AI-research done at Leiden.
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Ethical standards for data science
Computers are becoming so smart that in the future they will perhaps take over the role of judges. In the meantime, experts at Leiden University are examining the question of which standards responsible data science should meet.
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Roy de Kleijn: ‘Fetching a glass of water is extremely difficult for a robot’
Training a robot in a real-life environment is more or less impossible. Computer scientist and psychologist Roy de Kleijn switched to training in a simulated, virtual one instead. ‘You do have a reality gap, but the more precisely you train the robot, the better it is in practice.’ His inspiration:…
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Organisation
The various bodies involved in the organisation of the Leiden Institute of Advanced Computer Science (LIACS) are listed below.
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Collaborative learning from loneliness (COLLELO). A transdisciplinary approach to understand and reduce loneliness together with people with
People with a mild intellectual disability (MID) experience more loneliness than people without MID. In the COLLELO project, researchers from social and humanities disciplines collaborate with people with MID and their (in)formal networks to create an (online) learning community that aims to understand…
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DEEPSEA SOUND: pioneer explorations into biological relevance and anthropogenic disturbance
Are there acoustic cues for settlement stage larvae in deep-sea soundscapes around hydrothermal vents?
- Kickstart your curiosity and learn about science at one of the many stands
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PNAS Paper Prize for quantum machine learning
‘We hope our paper highlights the possibilities and benefits of including artificial intelligence in quantum physics to do new discoveries.’ Vedran Dunjko of the Leiden Institute of Advanced Computer Science contributed to a paper that was published in PNAS last year and now received a Cozzarelli Prize…
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Looking Beyond Our Similarities
How Perceived (In)Visible Dissimilarity Relates to Feelings of Inclusion at Work
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Characteristics and conditions of reflective dialogue in the context of Dutch primary school teachers that collaborate and work together
Reflective dialogue is an effective instrument for professional learning of teachers. This research considers the characteristics, development, stimulating and limiting conditions for reflective dialogues in the context of Dutch primary school teachers who collaborate and learn together. The goal is…
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Yolinde van Paridon
Faculteit der Sociale Wetenschappen
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Researcher develops Google for archaeologists
An incredible quantity of archaeological reports are stored in digital archives. If you want to search for information in them, you have to do this manually. And that is a real chore. Archaeologist Alex Brandsen has now used deep learning, a form of artificial intelligence, to develop a search engine…
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Artificial Intelligence (MSc)
The master’s specialisation Artificial Intelligence offers future-oriented topics in computer science with a focus on machine learning, optimization algorithms, and decision support techniques.
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Learning from Foes: How Racially and Ethnically Motivated Violent Extremists Embrace and Mimic Islamic State’s Use of Emerging Technologies
This report concerns itself with terrorist technical innovation, particularly with regards to terrorists’ incorporation of emerging technologies into their practices. More specifically, it investigates, through the elaboration of a theoretical learning framework, how terrorist groups can adopt the practices…
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The role of expectancies and avoidance learning in the maintenance of somatic symptoms
Somatic symptoms, such as pain, itch, and fatigue have been shown to have a bidirectional relationship with mental symptoms. Although acute somatic symptoms serve some adaptive properties, chronic symptoms can instead lead to interference in daily activities and lower quality of life.
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EUREX: European Registry of Exonerations to learn from miscarriages of justice
The European Registry of Exonerations database provides an overview of miscarriages of justice in Europe with a view to preventing future errors.
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Transfer Learning and Practical Applications Workshop
Workshop Series
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'Mobile phone in 2035 as powerful as our brains'
Within 20 years, intelligent machines will play a major role in society. ‘Selfdriving cars will be 90% safer than human-driven cars and will change transportation globally,’ says artificial intelligence scientist Bart Selman of Cornell University. He gave the first Ada Lovelace lecture of the Leiden…
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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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Research
The research at ICLON is organized within one research program. The overarching aim of this research program is to improve the quality of teaching-learning situations through a deep theoretical understanding of teaching and teacher learning.
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Neurocomputing article by LIACS researchers most cited
LIACS scientist, Dr. Michael S. Lew, along with his students now has the most cited article in the top tier neural network journal Neurocomputing, the second highest Google Scholar impact over all neural network journals worldwide.