2,685 zoekresultaten voor “back s en posters” in de Publieke website
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Optimally weighted ensembles of surrogate models for sequential parameter optimization
It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.
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Benchmarking Discrete Optimization Heuristics
This thesis involves three topics: benchmarking discrete optimization algorithms, empirical analyses of evolutionary computation, and automatic algorithm configuration.
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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.
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Controlling growth and morphogenesis of the industrial enzyme producer Streptomyces lividans
Promotor: G.P. van Wezel, Co-Promotor: E. Vijgenboom
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Guiding evolutionary search towards innovative solutions
Promotors: Prof.dr. T.H.W. Bäck, Prof.dr. B. Sendhoff (Technische Universität Darmstadt)
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Evaluation of Different Design Space Description Methods for Analysing Combustion Engine Operation Limits
Promotor: Prof.dr. T.H.W. Bäck
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Stochastic and Deterministic Algorithms for Continuous Black-Box Optimization
Continuous optimization is never easy: the exact solution is always a luxury demand and the theory of it is not always analytical and elegant.
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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.
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Data Driven Modeling & Optimization of Industrial Processes
Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.
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Meta-heuristics for vehicle routing and inventory routing problems
Promotores: T.H.W. Bäck, Y. Tan, Co-promotor: M.T.M. Emmerich
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Morphodynamic equilibria in tidal inlet systems: sensitivity to geometrical variations
A tidal basin is an inland sea which is almost entirely enclosed by land and connected to the open sea by a tidal inlet. Through the tidal inlets interaction takes place between the tidal basin and the open sea.
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Data-driven Predictive Maintenance and Time-Series Applications
Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.
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Many objective optimization and complex network analysis
This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.
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Algorithm design for mixed-integer black-box optimization problems with uncertainty
The increasing competition in the automotive industry requires the tailored, swift development of technologically sophisticated vehicles. Therefore, the computationally expensive state-of-the-art simulation technologies are combined with optimization algorithms. An example of a real-world optimization…
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Efficient constraint multi-objective optimization with applications in ship design
Constraint multi-objective optimization with a limited budget for function evaluations is challenging. This thesis tackles this problem by proposing new optimization algorithms. These algorithms are applied on holistic ship design problems. This helps naval architects balance objectives like cost, efficiency,…
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Samenwerking
Onze AI-wetenschappers werken nauw samen met onder andere de TU Delft en de Erasmus Universiteit.
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Multi-dimensional feature and data mining
In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.
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Multi-Objective Bayesian Global Optimization for Continuous Problems and Applications
A common method to solve expensive function evaluation problem is using Bayesian Global Optimization, instead of Evolutionary Algorithms.
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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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Natural Computing and Optimization
Het onderzoek in het natural computing cluster omvat theoretische fundamenten, de ontwikkeling van nieuwe algoritmen en interdisciplinaire toepassingen van natuurlijke computermethoden. De drijvende kracht achter hun onderzoek is de missie om het begrip van natuurlijke systemen als rekenmodellen te…
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A European Ministry of Finance?
Op 21 oktober 2021 verdedigde Frederik Behre het proefschrift 'A European Ministry of Finance?'. Het promotieonderzoek is begeleid door promotor prof.dr. S.C.G. Van den Bogaert.
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Monitoring Alzheimer's disease in transgenic mice with ultra high field magnetic resonance imaging
Promotor: Prof.dr. H.J.M de Groot, Co-Promotor: A. Alia
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Wat zit er achter het scherm? Verwachtingen van baby's van 10 maanden over verborgen voorwerpen
Het begrijpen van de wereld om ons heen hangt af van het vermogen om de wereld te ontleden in verschillende objecten en deze in hun geheugen op te slaan. Dit proces wordt gedefinieerd als object individuatie. Onderzoek wijst uit dat dit voor baby’s niet altijd gemakkelijk is.
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Beoordeling van troostend gedrag door twaalf maanden oude baby's: een keuze-experiment
Als mensen hebben we de neiging om bepaalde handelingen als goed of fout te beoordelen. Waar komt ons morele besef vandaan? We hebben bewijs gevonden dat baby's van slechts één jaar oud de voorkeur geven aan degenen die troosten in plaats van negeren wanneer iemand verdrietig is.
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Metabolomics Insights into the Gut Microbiome and Infants with Cow’s Milk Allergy
The rapid expansion of research on human gut microbiome in recent decades has highlighted its role in human metabolism, immune regulation, and behavior.
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From Organoids to Human Inner Ear Development - And Back Again
Promotie
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Beweegprogramma’s voor patiënten met hart- en vaatziekten, gebaseerd op sociale beloningen
Bevordering van duurzame fysieke activiteit door middel van het betrekken van de sociale omgeving in beweeginterventies voor diverse patiëntgroepen met cardiovasculaire aandoeningen.
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Plastic panda’s van Bas Haring
Het nieuwe boek Plastic panda’s van de hand van Bas Haring werd op 9 november gepresenteerd. In dit boek gaat hij op zoek naar de waarde van natuur en haar diversiteit en vraagt hij zich af wat de waarde en betekenis van ‘soorten’ is. Een gevoelig onderwerp.
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Orion's Dragon and Other Stories
Stellar feedback is a crucial ingredient in the evolution of galaxies.
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Children’s Rights in International Commercial Surrogacy
Op 26 juni 2018 verdedigde Claire Achmad haar proefschrift 'Children’s Rights in International Commercial Surrogacy: Exploring the Challenges from a Child Rights, Public International Law Perspective'. Het promotieonderzoek is begeleid door promotor prof. mr. drs. M.R. Bruning.
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Alumnidag L.P.S.V. „Aesculapius”
Alumni-activiteit
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Children’s Rights Moot Court 2017
Van 28 maart tot en met 31 maart vond de tweede editie van de Children’s Rights Moot Court plaats. Twaalf studententeams vanuit verschillende landen hebben Leiden bezocht om een interessante en uitdagende migratierechtelijke casus te bepleiten.
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Komt Goed: Appraisals, Coping en Stress van LIO's
Gevoelens en gedachten over jezelf als leerkracht spelen een hele belangrijke rol in de klas. Met dit onderzoek willen we meer inzicht krijgen in die gedachten en gevoelens. We kijken in de klas naar lessensituaties, waarbij we uitzoeken welke momenten stressvol zijn voor jullie, en welke gedachten…
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Picturing Intimacy: Mediation and Self-representation in a Boston’s Religious Festivals
Taking as a point of departure the Italian American community in Boston and its process of collective remembrance surrounding Saint Anthony’s Feast, we addressing the limits and potential of montage.
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Slotbijeenkomst Leergang Koninkrijkszaken
Festival
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The Proliferation of Dissenting Opinions in International Law
Op 8 juli 2020 verdedigde Andres Sarmiento Lamus zijn proefschrift 'The Proliferation of Dissenting Opinions in International Law'. Het promotieonderzoek is begeleid door promotoren prof.dr. L.J. van den Herik en prof.dr. Y.A.A.S. Radi (UCLouvain).
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Archief
Op deze pagina vindt u de opnames van de online This Week's Discoveries vanaf 12 mei 2020 en een lijst sprekers vanaf oktober 2015.
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Schouwburgstraat Community Garden
In the Schouwburgstraat, LUGO is currently redesigning the back-garden in order to increase biodiversity and make it a more beautiful space. Throughout October 2023 until March 2024, we will be making changes to the garden with our team of volunteers.
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Multi-objective mixed-integer evolutionary algorithms for building spatial design
Multi-objective evolutionary computation aims to find high quality (Pareto optimal) solutions that represent the trade-off between multiple objectives.
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Development and application of cryo-EM tools to study the ultrastructure of microbes in changing environments
Cryogenic electron microscopy (cryo-EM) is a powerful technique used to visualize the inside of cells and to study specific protein complexes. Within this thesis, I describe the use of various cryo-EM techniques to gain insight into the structural changes of the human pathogen, Vibrio cholerae, as it…
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De verzamelwoede van Martinus van Marum (1750-1837) en de ouderdom van de aarde
Promotor: F.J. van Lunteren, E. Jorin
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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…
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Quality-driven multi-objective optimization of software architecture design: method, tool, and application
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich
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Trustworthy anomaly detection for smart manufacturing
This dissertation explores how we can make anomaly detection—identifying unusual or faulty behavior in complex systems—more trustworthy and effective, with a focus on smart manufacturing.
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Multi-objective Evolutionary Algorithms for Optimal Scheduling
Multi-criteria optimalisatie is een effectieve techniek voor het vinden van optimale oplossingen die een afweging bieden tussen verschillende, tegenstrijdige criteria. Het heeft zijn toepassing gevonden in de wereld om ons heen omdat bij het oplossen van praktische, re¨ele wereld problemen men gewoonlijk…
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Dynamic real-time substrate feed optimization of anaerobic co-digestion plants
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M. Bongards (Cologne University)
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An Online Corpus of UML design models: Construction and empirical studies
Promotores: J. Kok, M. Chaudron (Chalmers University)
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Corpora Non Agunt Nisi Fixata: Ligand Receptor Binding Kinetics in G Protein-Coupled Receptors
The present thesis focuses on the pharmacological concept of drug-target interaction, which dates back to the beginning of modern pharmacology.
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Onderzoek
Computers worden steeds krachtiger en krijgen steeds ingewikkelder taken. Het Leiden Institute of Advanced Computer Science (LIACS) doet baanbrekend wetenschappelijk onderzoek en past nieuwe vindingen toe in actuele maatschappelijke vraagstukken.
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Learning-based Representations of High-dimensional CAE Models for Automotive Design Optimization
In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…