445 zoekresultaten voor “algorithms decision” in de Publieke website
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Reconstruction Methods for Combined HAADF-STEM and EDS Tomography
The research in this thesis is focused on tomographic reconstruction based on two imaging modalities in electron microscopy.
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Fuzzy systems and unsupervised computing: exploration of applications in biology
In this thesis we will explore the use of fuzzy systems theory for applications in bioinformatics.
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Aspects of the analysis of cell imagery: from shape to understanding
In this thesis, we have studied cell images from two types of cells, including pollen grains and the immune cells, neutrophils. These images are captured using a bright field microscope and a confocal microscope.
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Complex multiplication of abelian surfaces
Promotor: Peter Stevenhagen
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Modular curves, Arakelov theory, algorithmic applications
Promotor: S.J. Edixhoven, Co-promotor: R.S. de Jong
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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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Error bounds for discrete tomography
Promotores: K.J. Batenburg, B. Koren
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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…
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Gestandaardiseerde en reproduceerbare meting van besluitvaardigheid bij muizen
In de wetenschap is het van vitaal belang dat meerdere studies hetzelfde resultaat onderschrijven. Onderzoekers moeten daarom alle details van eerdere experimenten kennen om de procedures zo exact mogelijk uit te kunnen voeren. Dit is echter een steeds groter probleem in de neurowetenschappen. Het is…
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Chenyu ShiWiskunde en Natuurwetenschappen
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Structural Properties of Single Server Queueing Systems: Efficient Methods via Lumping and Dynamic Programming
This thesis consists of two main parts. The first part (Chapters 2 and 3) deals with a class of Markov process called Quasi-Skipfree (QSF) processes.
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Joint Lectures on Evolutionary Algorithms (JoLEA)
Lezing
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From data to models: reducing uncertainty in benefit risk assessment: application to chronic iron overload in children
Promotor: Prof.dr. M. Danhof, Co-promotor: O.E. Della Pasqua
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Anne UraiFaculteit der Sociale Wetenschappen
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Anne StiggelboutFaculteit Geneeskunde
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Het miljard deeltjes probleem
Promotor: Prof.dr. S. Portegies Zwart
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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.
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Algorithm for Structural Variant Detection
Promotie
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Modelling the dynamics of the innovation process: a data-driven agent-based approach
Promotor: Prof.dr. B.R. Katzy
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Joint Lectures on Evolutionary Algorithms
Lezing
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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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Joint Lectures on Evolutionary Algorithms (JoLEA)
Lezing
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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.
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Data science for tax administration
In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.
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Isogeny graphs, modular polynomials, and applications
This thesis has three main parts. The first part gives an algorithm to compute Hilbert modular polynomials for ordinary abelian varieties with maximal real multiplication. Hilbert modular polynomials of a given level b give a way of finding all of the abelian varieties that are b-isogeneous to any given…
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Mens in de machine (najaar 2022)
Eerlijke en creatieve AI
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Joint Lectures on Evolutionary Algorithms (JoLEA)
Lezing
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Causal Discovery from High-Dimensional Data in the Large-Sample Limit
Developing robust algorithms and theory for establishing cause-effect relationships from observational data that scale up to large data sets
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Images of Galois representations
Promotores: S.J. Edixhoven, P.Parent
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Decisions under Financial Scarcity
Promotie
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versus Human Dignity: Issues of Fairness and Power in Algorithmic Decisions
Lezing
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Prosecutorial Discretion in International Criminal Justice
Op 23 februari 2022 verdedigde Cale Davis het proefschrift 'Prosecutorial Discretion in International Criminal Justice'. Het promotieonderzoek is begeleid door prof.dr. C. Stahn en dr. J.C. Powderly.
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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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Resource allocation in networks via coalitional games
Promotor: F. Arbab, R. De Nicola, Co-Promotor: M. Tribastone
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Financial decisions matter
Promotie
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Joint Lectures on Evolutionary Algorithms (JoLEA)
Lezing
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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…
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Joint Lectures on Evolutionary Algorithms (JoLEA)
Lezing
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Joint Lectures on Evolutionary Algorithms (JoLEA)
Lezing
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Joint Lectures on Evolutionary Algorithms (JoLEA)
Lezing
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Joint Lectures on Evolutionary Algorithms (JoLEA)
Lezing
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Joint Lectures on Evolutionary Algorithms - November 2023
Lezing
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Joint Lectures on Evolutionary Algorithms - January 2024
Lezing
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European Integration
Deze onderzoekscluster maakt deel uit van het onderzoeksprogramma ‘Institutions, Decisions and Collective Behaviour’.
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Elections, Communication and Public Opinion
Dit onderzoekscluster maakt deel uit van het onderzoeksprogramma ‘Institutions, Decisions and Collective Behaviour’.
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Sparsity-Based Algorithms for Inverse Problems
Promotie
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Simona Demkova spreekt over algoritmen als toekomstige besluitvormers
Op 13 juni 2024 werd een seminar in de reeks ‘Law and Artificial Intelligence’ georganiseerd door het PhD-programma ‘Law of European and Global Markets. Crisis, Rights, Regulation’ aan de Universiteit van Tuscia (Viterbo, Italië).
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Positioning of current Environmental tools & an outlook to the future
Review of new technical decisionsupport systems in the environmental field, and application in water management decission processes.
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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.
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Basis reduction for layered lattices
Promotor: H.W. Lenstra