204 zoekresultaten voor “back desert” in de Publieke website
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Thijs de BackFaculteit der Sociale Wetenschappen
t.de.back@fsw.leidenuniv.nl | 071 5272727
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Thomas BäckWiskunde en Natuurwetenschappen
t.h.w.baeck@liacs.leidenuniv.nl | +31 71 527 7108
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A recipe for desert: analysis of an extended Klausmeier model
Promotores: Arjen Doelman, Jens Rademacher, Max Rietkerk
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Thomas Bäck wint IEEE Award
Thomas Bäck heeft de Institute of Electrical and Electronics Engineers (IEEE) CIS Evolutionary Computation Pioneer Award gewonnen voor zijn bijdrage aan 'evolutionary computation'.
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Intersectional activism: Dutch-Turkish Muslim women “talking back” to securitisation and Islamophobia
Dit artikel onderzoekt de inspanningen van gezaghebbende Turkse maatschappelijke actoren om de stem van moslimvrouwen in Nederland te versterken.
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Conference: "Back to the Future" (14/15 November)
The conference "Back to the Future: Thinking about Futures in Late Medieval and Early Modern Europe and Beyond" will take place on November 14 and November 15 2024 in Antwerp and online.
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Thomas Bäck geeft Cleveringa lecture in Calgary, Canada
Op 26 november 2014 geeft Prof. Dr. Thomas Bäck de Cleveringa lecture aan de University of Calgary in Canada getiteld: Innovation: Can we use principles of evolution to guide it?
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NWO Vrije Competitie subsidie voor Al-Jallad en Akkermans
Dr. Ahmad Al-Jallad en Prof.dr. Peter Akkermans hebben de NWO Vrije Competitie subsidie toegekend gekregen voor hun onderzoeksproject 'Landscapes of Survival: Pastoralist Societies, Rock Art and Literacy in Jordan's Black Desert, c. 1000 BC to 500 AD. Samen onderzoeken ze antieke nederzettingen, grafmonumenten…
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Conductance and gating effects at sputtered oxide interfaces
This thesis explores interfacial conductance and electric field-effects in LaAlO3/SrTiO3 heterostructures.
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Growth and Transport properties of (Rare Earth)TiO3 / SrTiO3 interfaces
This thesis presents the results of a study on the interfaces of insulating oxides with and without the insertion of a magnetic layer.
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Discovering the preference hypervolume: an interactive model for real world computational co-creativity
In this thesis it is posed that the central object of preference discovery is a co-creative process in which the Other can be represented by a machine. It explores efficient methods to enhance introverted intuition using extraverted intuition's communication lines.
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Quantum machine learning: on the design, trainability and noise-robustness of near-term algorithms
This thesis addresses questions on effectively using variational quantum circuits for machine learning tasks.
- Quantum Computers
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Over het instituut
Computer Science LIACS Over het instituut
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Exploring Means to Facilitate Software Debugging
In this thesis, several aspects of software debugging from automated crash reproduction to bug report analysis and use of contracts have been studied.
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Applications of quantum annealing in combinatorial optimization
Quantum annealing belongs to a family of quantum optimization algorithms designed to solve combinatorial optimization problems using programmable quantum hardware. In this thesis, various methods are developed and tested to understand how to formulate combinatorial optimization problems for quantum…
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Online Course Cosmopolitain Medieval Arabic World
In this course, we will focus on the fascinating history of the Arabic Medieval World. We will take you on a journey through the Middle Ages. All along, we will present you with historiographical debates and dilemmas and travel back and forth in time explaining to you how events of the past affected…
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Handbook of Natural Computing
Met Natural Computing worden natuurlijke algoritmes en verschijnselen onderzocht om bijvoorbeeld computersystemen te innoveren.
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Algoritmes en Software Technologie
Het Algorithms and Software Technology (AST) onderzoeksprogramma voert onderzoek uit op het gebied van algoritme-ontwerp en analyse.
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Learning class-imbalanced problems from the perspective of data intrinsic characteristics
The class-imbalance problem is a challenging classification task and is frequently encountered in real-world applications. Various techniques have been developed to improve the imbalanced classification performance theoretically and practically.
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Afscheidscollege: Terugkijken naar de toekomst
Terugblik over de laatste 40 jaar op de belangrijkste veranderingen in de zorg en onderzoek, waar transparantie, verantwoording en richtlijn centraal zijn komen te staan. Aan de hand van de ziekte van Huntington en het cerebrovasculaire accident worden belangrijke veranderingen in de zorg en het onderzoek…
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PROACT
De moderne samenleving is verbonden via elektronische en mobiele apparaten, die we het Internet of Things (IoT) noemen.
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Separating quantum and classical computing: rigorous proof and practical application
This thesis probes under what conditions quantum computing presents an advantage over classical computing.
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Afkijken bij de natuur
Een neuraal netwerk imiteert de werking van onze hersenen. Evolutionaire algoritmes gebruiken het principe van natuurlijke selectie om een complex probleem op te lossen. Deze vormen van natural computing worden ingezet om de diagnose van de ziekte van Parkinson accurater te maken, maar ook om bijvoorbeeld…
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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…
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Model-assisted robust optimization for continuous black-box problems
Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.
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2016
LIBC PUBLIEKSDAG 'ONZEKERE TIJDEN; EEN STRUIKEBLOK OF SPRINGPLANK?' (in Dutch)
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HyTROS
De ontwikkeling en implementatie van een schaalbare, veilige en geïntegreerde infrastructuur van waterstof te bevorderen ter ondersteuning van de energietransitie.
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CT Scanning Skeletal Remains
CT scanning of skeletal remains can tell us about how strong or weak a persons bones were and we can relate that back to diet, activity, and reproductive factors.
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Adapted deformations and Ekedahl-Oort stratifications of Shimura varieties
This thesis concerns the relation bettween the good reduction of Shimura varieties and the associated loop groups.
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Algorithm selection and configuration for Noisy Intermediate Scale Quantum methods for industrial applications
Quantum hardware comes with a different computing paradigm and new ways to tackle applications. Much effort has to be put into understanding how to leverage this technology to give real-world advantages in areas of interest for industries such as combinatorial optimization or machine learning.
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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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Approach to Markov Operators on Spaces of Measures by means of equicontinuity
The subject of this thesis, ‘Approach to Markov Operators on Spaces of Measures by Means of Equicontinuity’, combines an analytical and probabilistic approach to Markov operators.
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From Benchmarking Optimization Heuristics to Dynamic Algorithm Configuration
For optimization problems, it is often unclear how to choose the most appropriate optimization algorithm. As such, rigorous benchmarking practices are critical to ensure we can gain as much insight into the strengths and weaknesses of these types of algorithms.
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Molecular diagnostics of dense regions in nearby galaxies
This research delves into a region of space known as the interstellar medium (ISM), which is essentially the area between the stars filled with gas and dust.
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Image analysis for gene expression based phenotype characterization in yeast cells
Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek
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Robust rules for prediction and description.
In this work, we attempt to answer the question:
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Laser-generated toroidal helium plasmas
This dissertation is an experimental study of laser-generated, atmospheric pressure, transient toroidal helium plasmas.
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Digging for data: the rise and fall of a Miocene mammal biodiversity hotspot in the Vallès-Penedès (Catalonia, Spain)
The Vallesian, 11.1-9 Ma, was a special time in the Vallès-Penedes basin near Barcelona, where a biodiversity hotspot existed. Europe had a subtropical climate, with rhinos, forest giraffes, lions, hyenas, flying squirrels and primates.
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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-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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Designing Ships using Constrained Multi-Objective Efficient Global Optimization
A modern ship design process is subject to a wide variety of constraints such as safety constraints, regulations, and physical constraints.
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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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Evaluation of Different Design Space Description Methods for Analysing Combustion Engine Operation Limits
Promotor: Prof.dr. T.H.W. Bäck
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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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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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Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box ProblemsBagheri, S.
Optimization tasks in practice have multifaceted challenges as they are often black box, subject to multiple equality and inequality constraints and expensive to evaluate.
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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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Trading Responsibility: navigating national burdens in a globalized world
International trade has played a major role in defining the modern global economy. Trade, however, entangles the environmental pressures of economic sectors, giving the illusion of environmental improvements, while the opposite may be occurring.