3,971 zoekresultaten voor “learn of european research universiteit like” in de Publieke website
-
League of European Research Universities
De League of European Research Universities (LERU) is een groep van 24 toonaangevende Europese onderzoeksuniversiteiten.
-
Parliamentary oversight of European monetary policy and banking supervision
In dit artikel breiden Adina Akbik en Sebastian Diessner de klassieke typologie van politiepatrouille en brandalarmtoezicht uit.
-
Computational speedups and learning separations in quantum machine learning
This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…
-
Searching by Learning: Exploring Artificial General Intelligence on Small Board Games by Deep Reinforcement Learning
In deep reinforcement learning, searching and learning techniques are two important components. They can be used independently and in combination to deal with different problems in AI, and have achieved impressive results in game playing and robotics. These results have inspired research into artificial…
-
Who is to blame? Stories of European Union migration governance in Italian, Maltese, and Spanish newspapers
In dit artikel onderzoekt Martina Abisso hoe kranten in Zuid-Europese lidstaten het Europese bestuur van irreguliere migratie weergeven.
-
Massively collaborative machine learning
Promotor: J. N. Kok, Co-promotor: A. J. Knobbe
-
Transfer Learning in Deep Reinforcement Learning and Procedural Content Generation
In this dissertation (titled: Exploring the Synergies between Transfer in Reinforcement Learning and Procedural Content Generation) we explore how the two research fields named in the title, namely Transfer in Reinforcement Learning (TRL) and Procedural Content Generation (PCG) can synergize togethe…
-
Learning from small samples
Learning from small data sets in machine learning is a crucial challenge, especially when dealing with data imbalances and anomaly detection. This thesis delves into the challenges and methodologies of learning from small datasets in machine learning, with a particular focus on addressing data imbalances…
-
Deep learning for visual understanding
With the dramatic growth of the image data on the web, there is an increasing demand of the algorithms capable of understanding the visual information automatically.
-
Understanding deep meta-learning
The invention of neural networks marks a critical milestone in the pursuit of true artificial intelligence. Despite their impressive performance on various tasks, these networks face limitations in learning efficiently as they are often trained from scratch.
-
Learning in Automated Negotiation
This dissertation advances automated negotiation by developing agents that can learn and adapt across diverse negotiation settings through three increasingly sophisticated approaches: automated algorithm configuration, portfolio-based strategy selection, and end-to-end reinforcement learning with graph…
-
Lost in translation: The toll-like receptor 7 induced pharmacological challenge model of the skin
This thesis investigates a pharmacological challenge model induced by Toll-like receptor 7 (TLR7) activation, focusing on skin inflammation and its implications for early drug development.
-
Exploring deep learning for multimodal understanding
This thesis mainly focuses on multimodal understanding and Visual Question Answering (VQA) via deep learning methods. For technical contributions, this thesis first focuses on improving multimodal fusion schemes via multi-stage vision-language interactions.
-
Exploring Deep Learning for Intelligent Image Retrieval
This thesis mainly focuses on cross-modal retrieval and single-modal image retrieval via deep learning methods, i.e. by using deep convolutional neural networks.
-
synthesis, and evaluation of antigenic peptide conjugates containing Toll-like receptor agonists
This thesis describes the design, synthesis, and immunological evaluation of varying (neo)antigenic peptide conjugates containing either a TLR2 or a TLR7 agonist.
-
Collective Redress Actions to Achieve Full Compensation for Violations of European Union Competition Law
Op 23 juni 2019 verdedigde Zygimantas Juska zijn proefschrift 'The Role of Collective Redress Actions to Achieve Full Compensation for Violations of European Union Competition Law'. Het promotieonderzoek is begeleid door promotor prof. dr. T.R Ottervanger.
-
Exploring Grainyhead-like 2 target genes in breast cancer
The objective of this study was to investigate the expression and function of GRHL2 in different breast cancer subtypes.
-
Machine Learning
Computers zijn in staat om ongelooflijk nauwkeurige voorspellingen te doen op basis van machine learning. Met andere woorden, deze computers kunnen zonder tussenkomst leren als ze eenmaal door mensen zijn voorgeprogrammeerd. Bij LIACS verkennen en verleggen we de grenzen van wat een revolutionaire nieuwe…
-
Special Issue: European Journal of Criminology
Recentelijk is een Special Issue van de European Journal of Criminology verschenen, die is samengesteld door Marieke Liem, Universitair Docent Criminologie bij het Instituut voor Strafrecht & Criminologie, en William Pridemore.
-
Like me or else...
Nature, nurture and neural mechanisms of social emotion regulation in childhood
-
Docenten
De docenten aangesloten bij Inclusief Leiderschap voor Depolarisatie zijn onder andere:
-
Efficient tuning of automated machine learning pipelines
Automated Machine Learning (AutoML) is widely used to automatically build a suitable practical Machine Learning (ML) model for an arbitrary real-world problem, reducing the effort of practitioners in the ML development cycle for real-world applications. Optimization is a key part of a typical AutoML…
-
Prestigieuze Journal of European Public Policy selecteert Leids onderzoek voor Special Issue
Het Journal of European Public Policy heeft de Special Issue dit jaar gewijd aan het thema European Union Enlargement and Integration Capacity, op voordracht van dr. Antoaneta Dimitrova, universitair hoofddocent van het instituut Bestuurskunde van de Universiteit Leiden. In de Special Issue zijn bovendien…
-
Betrokkenheid van studenten bij blended learning in het hoger onderwijs
Op welke manier kunnen docenten de betrokkenheid van studenten ondersteunen en vergroten in de context van blended learning?
-
Political factors affecting European Union legislative decision-making speed
Welke politieke factoren beïnvloeden de snelheid of duur van de wetgevingsbesluitvorming in de EU?
-
Learning My Way
Learning about My meaningful Way through life and profession.
-
Machine learning and computer vision for urban drainage inspections
Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.
-
Centre for Professional Learning – Universiteit Leiden
Verbinden van wetenschap en praktijk: opleidingen die jouw leiderschap en impact versterken.
-
The unexplored functions of Toll-like receptor signaling: Immunometabolism, development and microbiome interactions
Toll-like receptors (TLRs) are central components of the innate immune system, functioning as pattern recognition receptors that detect microbial- and damage-associated molecular patterns and initiate antimicrobial and inflammatory responses.
-
Quantum Methods for Machine Learning and Classical Dynamics
All the data stored and processed by our computers is encoded as sequences of zeros and ones, called bits. Quantum computers offer an alternative to this traditional way of encoding and manipulating information.
-
Exploring Images With Deep Learning for Classification, Retrieval and Synthesis
In 2018, the number of mobile phone users will reach about 4.9 billion. Assuming an average of 5 photos taken per day using the built-in cameras would result in about 9 trillion photos annually.
-
Enhancing Autonomy and Efficiency in Goal-Conditioned Reinforcement Learning
Reinforcement learning is a framework that enables agents to learn in a manner similar to humans, i.e. through trial and error. Ideally, we would like to train a generalist agent capable of performing multiple tasks and achieving various goals.
-
Bayesian learning: challenges, limitations and pragmatics
This dissertation is about Bayesian learning from data. How can humans and computers learn from data?
-
E-learning Antibiotica allergie
Als zorgverlener komt u regelmatig in aanraking met patiënten die aangeven allergisch te zijn voor antibiotica. In deze online module leert u verschillende typen allergieën onderscheiden en dilemma’s uit de dagelijkse praktijk op te lossen.
-
Leiden Learning & Innovation Centre
LLInC ondersteunt innovatief en hoogwaardig onderwijs, binnen de Universiteit Leiden en in samenwerking met onderwijs- en maatschappelijke organisaties.
-
Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
-
Microstructural and Metabolic Alterations in the Zebrafish Brain Induced by Toll-Like Receptor 2 Deficiency
Advanced UHF MRI techniques provide powerful tools for studying the zebrafish brain, an emerging model in neurological research. In this work, various MRI and localized MRS methods are optimized and employed for UHF strength for studying the zebrafish brain.
-
Research
The mission of our group is understanding how science communication works to improve the interaction between science and society. We believe better science communication can improve our society and engage many different groups with science, also improving science.
-
Hybrid Quantum-Classical Metaheuristics for Automated Machine Learning Applications
This thesis investigates how quantum, quantum-inspired, and hybrid quantum-classical computation can enhance key points of the automated machine learning (AutoML) pipeline under the constraints of noisy intermediate-scale quantum (NISQ) devices.
-
Establishment of the European Stability Mechanism for the Eurozone
In dit artikel onderzoeken Madeleine O. Hosli en Wen Pan hoe intergouvernementele dynamieken het Europees Stabiliteitsmechanisme vormgaven, waarbij ze Liberale Intergouvernementalisme gebruiken om onderhandelingsfasen, de invloed van grote lidstaten en de geldigheid van theoretische aannames te anal…
-
Historical institutionalism and policy coordination: origins of the European semester
This paper explores whether multilateral surveillance and policy coordination under the ES was based on a path-changing or a path-dependent mechanism
-
Explaining Contestation: Votes in the Council of the European Union
The researchers examine the Council of the European Union's voting behaviour between 2010 and 2021 and the impact of different independent variables.
-
European Union Studies (MA)
De masterspecialisatie European Union Studies van de Universiteit Leiden bestrijkt het brede geografische terrein van de EU vanuit een interdisciplinair perspectief.
-
Modern European Philosophy (MA)
In de masterspecialisatie Modern European Philosophy van de Universiteit Leiden onderzoek je fundamentele vragen over het bestuderen van de mensheid.
-
Reliable and Fair Machine Learning for Risk Assessment
The focus of this thesis is on the technical methods which help promote the movement towards Trustworthy AI, specifically within the Inspectorate of the Netherlands.
-
Effects of the early social environment on song and preference learning in zebra finches
Songbirds as vocal learners learn their songs and song preference from social tutors. Tutor choice for both song and preference learning are important to characterize for understanding individual learning performance and cultural transmission of song.
-
Learning Analytics and Data Science
Datagedreven werken in het onderwijs: het verzamelen, analyseren en interpreteren van gegevens uit onderwijsomgevingen voor verbetering van onderwijs- en leerresultaten.
-
Deep learning for tomographic reconstruction with limited data
Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.
-
Kunstmatige intelligentie en machine learning
Computers zijn in staat om ongelooflijk nauwkeurige voorspellingen te doen op basis van machine learning. Met andere woorden, deze computers kunnen zonder tussenkomst leren als ze eenmaal door mensen zijn voorgeprogrammeerd. Bij LIACS verkennen en verleggen we de grenzen van wat een revolutionaire nieuwe…
-
European Law (LL.M.)
De afstudeerrichting European Law is een Engelstalige afstudeerrichting. In de opleiding staat het Europees recht centraal. Bekijk meer informatie