1,304 search results for “deep learning” in the Public website
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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).
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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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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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Our people
Some examples of AI-research done at Leiden.
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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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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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Juan Claramunt Gonzalez
Faculteit der Sociale Wetenschappen
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Willem Heiser
Faculteit der Sociale Wetenschappen
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Diego Barbosa Arize Santos
Faculteit der Sociale Wetenschappen
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Anja Schoots-Snijder
ICLON
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Carel ten Cate
Science
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Judith Schomaker
Faculteit der Sociale Wetenschappen
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Henk Kelderman
Faculteit der Sociale Wetenschappen
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Gerard van Westen
Science
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Rayyan Toutounji
Faculteit der Sociale Wetenschappen
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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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Automated Machine Learning for Dynamic Energy Management using Time-Series Data
PhD defence
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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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Machine learning-based NO2 estimation from seagoing ships using TROPOMI/S5P satellite data
PhD defence
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Learning cell identities and (post)-transcriptional regulation using single- cell data
PhD defence
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Development of Machine Learning-Derived Digital Biomarkers for Trial@Home Clinical Trials
PhD defence
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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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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 position within the project 'Libraries as Links in Learning: Making the Meaning of Manuscripts'
Humanities, Centre for the Arts in Society
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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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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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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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Katharina Riebel
Science
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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?
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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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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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Robert Verpoorte
Science
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Looking Beyond Our Similarities
How Perceived (In)Visible Dissimilarity Relates to Feelings of Inclusion at Work
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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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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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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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Florence Nightingale Colloquium
Here you can find the recordings of previous Florence Nightingale Colloquia.
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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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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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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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Transfer Learning and Practical Applications Workshop
Workshop Series
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Two grants for LUMC on AI for precision diagnostics
Two AI research projects receive funding; one in the field of oncology and one in the field of cardiology.
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New super server at humanities
When you think of humanities, you may not immediately think of a new super server. Yet one has just been commissioned. University lecturer Jelena Prokic from Leiden University Centre for Digital Humanities explains more about this development.
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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.