1,009 search results for “deep learning” in the Public website
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The comparative biology of language learning
A theoretical project on the insights gained by human (including infant), nonhuman animal and computational studies on artificial grammar learning; identifying the critical questions for future research by developing novel experimental and computational approaches to address these issues.
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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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Broadening Youth Participation in STEM Learning
How can we broaden youth participation in STEM Learning
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Intelligence, Dynamic testing and potential for learning
Can dynamic testing provide us with insight in children’s potential for learning?
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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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Methods and Tools for Mining Multivariate Time Series
Mining time series is a machine learning subfield that focuses on a particular data structure, where variables are measured over (short or long) periods of time.
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Numerical exploration of statistical physics
In this thesis, we examine various systems through the lens of several numerical methods.
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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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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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Information activities
Get to know us through our online and in-person events for prospective students!
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Vincent Croft-
Science
v.a.croft@liacs.leidenuniv.nl | +31 71 527 4799
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Suzanne Mol
Faculteit der Sociale Wetenschappen
s.e.mol@fsw.leidenuniv.nl | +31 71 527 6759
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Nadira Saab
ICLON
n.saab@iclon.leidenuniv.nl | +31 71 527 5726
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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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Fatemeh Mehrafrooz Mayvan
Science
f.mehrafrooz.mayvan@liacs.leidenuniv.nl | +31 71 527 2727
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Simon Marshall
Science
s.c.marshall@liacs.leidenuniv.nl | +31 71 527 2727
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Samar Khalil
Science
s.s.khalil.2@liacs.leidenuniv.nl | +31 71 527 2727
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I-Fan Lin
Science
i.lin@liacs.leidenuniv.nl | +31 71 527 2727
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Ili Ma
Faculteit der Sociale Wetenschappen
i.ma@fsw.leidenuniv.nl | +31 71 527 2727
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Philipp Kropf
Science
p.kropf@cml.leidenuniv.nl | +31 71 527 2727
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Elise Kortink
Faculteit der Sociale Wetenschappen
e.d.kortink@fsw.leidenuniv.nl | +31 71 527 2727
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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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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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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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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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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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Matthijs van Leeuwen
Science
m.van.leeuwen@liacs.leidenuniv.nl | +31 71 527 7048
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Evert van Nieuwenburg
Science
e.p.l.van.nieuwenburg@liacs.leidenuniv.nl | +31 71 527 5523
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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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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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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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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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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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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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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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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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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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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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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?