880 search results for “deep learning” in the Public website
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Nadira Saab
ICLON
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Computational Linguistics
In this theme you will be supplied with a firm background in the core of current computational linguistics and a solid comprehension of its neighboring fields.
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Predicting alcohol use disorder through machine learning
How to come to valid risk stratification of alcohol use disorder?
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Machine learning for radio galaxy morphology analysis
We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.
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Information activities
Get to know us through our online and in-person events for prospective students!
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Fatemeh Mehrafrooz Mayvan
Science
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Simon Marshall
Science
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I-Fan Lin
Science
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Ili Ma
Faculteit der Sociale Wetenschappen
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Philipp Kropf
Science
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Elise Kortink
Faculteit der Sociale Wetenschappen
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Cosima Nimphy
Faculteit der Sociale Wetenschappen
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Automated machine learning for dynamic energy management using time-series data
Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…
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Development of a academic monitoring system for students with learning problems in secondary school
Students with learning problems experience difficulties in reading, writing, and content-area learning into and throughout their secondary-school years
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Teacher Learning Through Novice-expert Interaction in the Context of Chinese Vocational Education
The aim of this research is to gain insight into the approaches of learning to teach. Teacher learning processes, feedback in novice-expert interaction and the impact of the interaction are explored.
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More efficient learning thanks to sleep
Young children, adolescents and students may experience learning difficulties as a result of lack of sleep. Dr Kristiaan van der Heijden investigates sleep problems and solutions for various age groups.
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Learning to look at LiDAR: combining CNN-based object detection and GIS for archaeological prospection in remotely-sensed data
The manual analysis of remotely-sensed data is a widespread practice in local and regional scale archaeological research, as well as heritage management.
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Accountable Artificial Intelligence: Holding Algorithms to Account
Artificial intelligence algorithms govern in subtle, yet fundamental ways, the way we live and are transforming our societies. The promise of efficient, low‐cost or ‘neutral’ solutions harnessing the potential of big data has led public bodies to adopt algorithmic systems in the provision of public…
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By Heritage Quest
Read all papers and other types of publication created by the project.
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Team
The team consists of
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Hypermarker
Developing a clinical decision support tool that will make it easier for clinicians to personalise the treatment for patients with high blood pressure. The team is using AI, deep learning methods and patient cohort data from 11 European countries.
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Data Science: Computer Science (MSc)
The master's specialisation Data Science: Computer Science at Leiden University provides students thorough knowledge and understanding of statistical and computational aspects of data analysis, including their application in databases, advances in data mining, networks, pattern recognition, and deep…
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Leiden University Graduate School of Teaching
The overarching aim of the ICLON research programme is to improve the quality of teaching-learning situations through a deep theoretical understanding of teaching and teacher learning.
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Matthijs van Leeuwen
Science
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Evert van Nieuwenburg
Science
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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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Alice Twemlow on trash, deep time and the Scottish Enlightenment geologist, James Hutton
Alice Twemlow has recently been interviewed for Design Exhibition Scotland.
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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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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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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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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.
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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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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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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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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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History
Life Sciences Artificial Intelligence Data Science
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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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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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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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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.
- Teacher of the Year 2017 throws students in at the deep end with supervision
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Folke Glastra
Faculteit der Sociale Wetenschappen