1,048 search results for “deep learning” in the Public website
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post-translationally modified peptides in Streptomyces with machine learning
The ongoing increase in antimicrobial resistance combined with the low discovery of novel antibiotics is a serious threat to our health care.
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Individual teacher learning in a context of collaboration in teams
In this study we aimed to examine teacher learning within a context of collaboration in interdisciplinary teams.
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Seeing voices: the role of multimodal cues in vocal learning
Humans and songbirds learn their vocalizations early in life by exposure to the vocalizations of adult conspecifics. Often, better learning outcomes are achieved with live, social, tutors than with audio-only exposure to vocalizations.
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Teacher professional learning and collaboration in secondary schools
This dissertation focuses on teacher professional learning and collaboration in secondary schools.
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Effects of interdependency between teachers in professional learning communities on differentiated teaching based on cognitive differences of
What relationships exist between different types of PLCs and cognitive differentiated teaching?
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What we can learn from the Mycenaeans
The Mycenaean civilization of ancient Greek times offers enormous potential for useful information: from innovative construction methods to ways of handling crisis situations as a society. Archaeologist Ann Brysbaert and her team analyse Mycenaean construction processes in the ERC Consolidator project…
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Learning and Behavior Problems in Education: Challenges and Solutions
The program group Learning and Behavior Problems in Education: Challenges and Solutions strive to find solutions to the learning and behavior challenges faced by preschool and elementary-school children, youth, and young adults in education. In doing so, the group focuses on cognition and behavior and…
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Multi Modal Representation Learning and Cross-Modal Semantic Matching
Humans perceive the real world through their sensory organs: vision, taste, hearing, smell, and touch. In terms of information, we consider these different modesalso referred to as different channels of information or modals.
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about bilingual education? A window on Content and Language Integrated Learning pedagogies
In the Netherlands approximately 130 out of 700 secondary schools offer a bilingual stream. However, research about CLIL (Content and Language Integrated Learning) is limited. With her dissertation Evelyn van Kampen (PhD student at ICLON) wants to contribute to the understanding of the nature and range…
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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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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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Neural correlates of vocal learning in songbirds and humans: cross-species fMRI studies into individual differences
Vocal learning is a trait shared by songbirds and humans. It is also a trait that is restricted by the brain rather than by a species' vocal apparatus. In this dissertation, functional MRI is employed in both species in order to explore potential common neural mechanisms underlying the ability to develop…
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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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History
Life Sciences Artificial Intelligence Data Science
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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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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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Mathematical Institute
The Mathematical Institute is responsible for the research and education in mathematics and statistics at Leiden University.
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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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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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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.
- Teacher of the Year 2017 throws students in at the deep end with supervision
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Folke Glastra
Faculteit der Sociale Wetenschappen
glastra@fsw.leidenuniv.nl | +31 71 527 2727
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Tom Kouwenhoven
Science
t.kouwenhoven@liacs.leidenuniv.nl | +31 71 527 4799
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Evin Aktar
Faculteit der Sociale Wetenschappen
e.aktar@fsw.leidenuniv.nl | +31 71 527 5228
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Iris Koele
Faculteit der Sociale Wetenschappen
i.j.koele@fsw.leidenuniv.nl | +31 71 527 2727
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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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Rahul Bandyopadhyay
Science
r.bandyopadhyay@liacs.leidenuniv.nl | +31 71 527 2727
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Simone Rijksen
ICLON
s.rijksen@iclon.leidenuniv.nl | 071 5274059
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Postdoctoral Researcher in Machine Learning for Quantum Systems
Science, Leiden Institute of Advanced Computer Science (LIACS)
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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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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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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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The flux and flow of data: connecting large datasets with machine learning in a drug discovery envirionment
This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…
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Past events
Conferences, Workshops and Lectures showcasing research and tools in Digital Humanities.
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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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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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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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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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Identifying and Integrating Interdisciplinary Learning Goals and Methods for Wicked World Problems
What are best practices for teaching students to engage with 'wicked' problems?