1,009 search results for “gravitational learning” in the Public website
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Advancing Learned Algorithms for 2D X-ray Computed Tomography
This thesis surveys the intersection of computed tomography (CT) and machine learning (ML), treating CT as an ill-posed inverse problem shaped by object properties, imaging physics, and data limitations.
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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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Automated Machine Learning for Neural Network Verification
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The Many Faces Of Online Learning
In this dissertation several settings in the Online Learning framework are studied. The first chapter serves as an introduction to the relevant settings in Online Learning and in the subsequent chapters new results and insights are given for both full-information and bandit information settings.
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Learning Chairs
In the Department of Business Sciences, three chairs are established. Together, the chair holders lead the Turnaround, Rescue & Insolvency Leiden Research Team (TRI Leiden), which consists of legal and business science researchers from Leiden Law School. TRI Leiden aims, through an international and…
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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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Education for double-quick learning children
Tuesday 12 September 2017 Willy de Heer defended her PhD Thesis
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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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Amer JaganjacICLON
a.jaganjac@iclon.leidenuniv.nl | 071 5272727
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Gergana VasilevaICLON
g.vasileva@iclon.leidenuniv.nl | 071 5271787
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Els GoetschalckxICLON
e.d.s.goetschalckx@iclon.leidenuniv.nl | 071 5274043
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Sjoerd Lindenburg -
Wouter van LoonFaculty of Social and Behavioural Sciences
w.s.van.loon@fsw.leidenuniv.nl | 071 5272727
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Beth LloydFaculty of Social and Behavioural Sciences
b.lloyd@fsw.leidenuniv.nl | 071 5272727
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Alan Kai Hassena.k.hassen@liacs.leidenuniv.nl | 071 5274799
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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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Teacher professional learning and collaboration in secondary schools
This dissertation focuses on teacher professional learning and collaboration in secondary schools.
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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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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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TAILOR - Trustworthy AI through the integration of learning
The quest for Trustworthy AI is high on both the political and the research agenda, and it actually constitutes TAILOR’s first research objective (H1) of developing the foundations for Trustworthy AI. It is concerned with designing and developing AI systems that incorporate the safeguards that make…
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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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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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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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Hunting for the fastest stars in the Milky Way
The high velocity tail of the total velocity distribution of stars provides essential insight into fundamental properties of the Galaxy.
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Exploring Open-World Visual Understanding with Deep Learning
We are living in an information era where the amount of image and video data increases exponentially.
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Sander Hölsgens - Skate/worlds: Learning and making sense through skateboarding
Explore how skateboarding functions as a prefigurative learning tool in 'Skate/worlds.' This volume examines skateboarding's therapeutic potential, its role in queering and decolonizing education, and its impact on parenting and care work through perspectives from writers, educators, and activists.
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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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Self-learning machines for better understanding of the universe
Bright explosions appear all over the radio and gravitational-wave sky. This dynamic side of the universe which has just been discovered, can be mapped by self-learning machines. The National Science Agenda granted 5 million euro’s to CORTEX, the Center for Optimal, Real-Time Machine Studies of the…
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Teachers' perspectives on self-regulated learning: an exploratory study in secondary and university education
The topic of this PhD thesis is teachers' perspectives on self-regulated learning.
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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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Suzanne MolFaculty of Social and Behavioural Sciences
s.e.mol@fsw.leidenuniv.nl | 071 5276759
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Somayeh SahebalzamaniFaculty of Social and Behavioural Sciences
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Christos Athanasiadisc.athanasiadis@liacs.leidenuniv.nl | 071 5272727
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Open-world Continual Learning via Knowledge Transfer
This thesis investigates Open-world Continual Learning (OWCL), a learning paradigm designed for intelligent systems operating in non-stationary environments with persistent exposure to unknown data.
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Subodh Patil Group - Particle Cosmology
Our research primarily focuses on the early universe and its origins in theories that go beyond the Standard Model of particle physics.
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PRIORITY: Prioritising novel genomic and chemical space via federated learning and preclinical development
There are millions of gene clusters that encode the biosynthesis of bioactive natural products, with the vast majority yet unknown. How can we prioritize them to discover new chemical space for antibiotics? For this we will set up a pipeline based on federated learning (AI), synthetic biology and bioactivity…
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the Gap Between Design and Implementation for Technology-Enhanced Learning Systems
Technologies that help to enhance our educational environments can be found everywhere.
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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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LABDA (Learning Network for Advanced Behavioural Data Analysis)
Understanding how data derived from wearable technology can be used to identify effective changes in behaviour that are likely to result in health improvements
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How Euclid will reveal the dark side of the Universe
ESA’s Euclid mission is to reveal the dark side of the Universe. But how? Professor of Observational cosmology Henk Hoekstra explains it in his interview with Space Team Europe and Horizon Magazine. He uses enlightening examples such as… a swimming pool! Listen to Henk Hoekstra to understand how Euclid…
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Information-theoretic partition-based models for interpretable machine learning
In this dissertation, we study partition-based models that can be used both for interpretable predictive modeling and for understanding data via interpretable patterns.
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Dineke TigelaarICLON
dtigelaar@iclon.leidenuniv.nl | 071 5276552
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Tianyuan Wangt.wang@liacs.leidenuniv.nl | 071 5272727
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Book Learn to Dare/DDD
In 2008, the intervention ‘Denken + Doen = Durven’ (Think + Do = Dare) was developed in the Netherlands (Bögels, 2008). This is a cognitive behavioral therapy program for children and young people between the age of 8 to 18, diagnosed with an anxiety disorder. The intervention is given by a professional,…
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Lysanne PostICLON
l.s.post@iclon.leidenuniv.nl | 071 5272727
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Fons Verbeekf.j.verbeek@liacs.leidenuniv.nl | 071 5275773
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Matthijs van Leeuwenm.van.leeuwen@liacs.leidenuniv.nl | 071 5277048