Searched for: subject%3A%22metrics%22
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Bieber, M.T. (author)
Spacecraft and aircraft systems collect health-related data continuously, which can give an indication of the systems' health status. While they rarely occur, the repercussions of such system anomalies, faults, or failures can be severe, safety-critical and costly. Therefore, the data are used to anticipate any kind of anomalous behaviour or...
doctoral thesis 2023
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Srivastava, Varnika (author)
This thesis introduces the concept of Fairness Aware Influence (FAI), which is dependent on prevalence and fairness. Prevalence of a given seed node is the number of infected nodes. Fairness can be defined differently based on the application or problem statement. In this case, the fairness is defined as the variation in the fraction of...
master thesis 2023
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Reichling, C Z (author)
This thesis is on the subject of phylogenetic networks. These are schematic<br/>visualisations used mainly to investigate the evolutionary history of species,<br/>but which can be used for any set of distinguishable elements which have diverged from a common ancestor through some evolutionary process. The research specifically focuses on a way...
master thesis 2023
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Liberia, Gheylla (author)
Clouds play a crucial role in Earth’s systems, influencing the radiation budget and the hydrological cycle. However, their dynamics are poorly represented in climate models, leading to uncertainties in predicting global temperature changes. To better understand cloud dynamics and improve model parametrizations, the large-scale field campaign...
master thesis 2023
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Molendijk, Thomas (author)
The k-truncated metric dimension of a graph is the minimum number of sensors (a subset of the vertex set) needed to uniquely identify every vertex in the graph based on its distance to the sensors, where the sensors have a measuring range of k. We give an algorithm with the goal that given any tree and any value for the measuring range of the...
bachelor thesis 2023
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Herrmann, Lars (author)
As the volume of telemetry data generated by satellites and other complex systems continues to grow, there is a pressing need for more efficient and accurate anomaly detection methods. Current techniques often rely on human analysis and preset criteria, presenting several challenges including the necessity for expert interpretation and continual...
master thesis 2023
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HADJIGEORGIOU, MARIOS (author)
Federated Learning (FL) is widely favoured in the training of machine learning models due to its privacy-preserving and data diversity benefits. In this research paper, we investigate an extension of FL referred to as Personalized Federated Learning (PFL) for the purpose of training diffusion models. We explore the personalization technique of...
bachelor thesis 2023
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Golik, Bartek (author)
Analysing single-cell RNA sequencing data is becoming an increasingly tedious task as the size of data sets grows. As a proposed solution, recent discoveries suggest that these data sets can be binarized without losing much information. This in turn should allow for memory and time efficient methods of storage and computation. Numerous analyses...
bachelor thesis 2023
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van Dobben de Bruyn, J. (author)
doctoral thesis 2023
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Wu, L. (author)
For almost three decades, side-channel analysis has represented a realistic and severe threat to embedded devices' security. As a well-known and influential class of implementation attacks, side-channel analysis has been applied against cryptographic implementations, processors, communication systems, and, more recently, machine learning models....
doctoral thesis 2023
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Beets, Simon (author)
master thesis 2023
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Bartha, Zsolt (author), Komjáthy, J. (author), Raes, Järvi (author)
A k-truncated resolving set of a graph is a subset S⊆V of its vertex set such that the vector (d<sub>k</sub>(s,v))<sub>s∈S</sub> is distinct for each vertex v∈V where d<sub>k</sub>(x,y)=min⁡{d(x,y),k+1} is the graph distance truncated at k+1. We think of elements of a k-truncated resolving set as sensors that can measure up to distance k. The...
journal article 2023
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Schouten, A.M. (author), Flipse, S.M. (author), van Nieuwenhuizen, Kim E. (author), Jansen, F.W. (author), van der Eijk, A.C. (author), van den Dobbelsteen, J.J. (author)
Literature proposes numerous initiatives for optimization of the Operating Room (OR). Despite multiple suggested strategies for the optimization of workflow on the OR, its patients and (medical) staff, no uniform description of ‘optimization’ has been adopted. This makes it difficult to evaluate the proposed optimization strategies. In...
review 2023
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Alexiou, Evangelos (author), Nehmé, Yana (author), Zerman, Emin (author), Viola, Irene (author), Lavoué, Guillaume (author), Ak, Ali (author), Smolic, Aljosa (author), Le Callet, Patrick (author), Cesar, Pablo (author)
Volumetric video (VV) is a novel form of video that allows recreation of real-world scenes in 3D with users consuming the content from any viewpoint they desire. This makes VV best suited for augmented reality (AR) or virtual reality (VR) applications. This freedom necessitates increased user interaction with the VV itself, which brings new...
book chapter 2023
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Hille, Sander C. (author), Theewis, E.S. (author)
Explicit expressions and computational approaches are given for the Fortet–Mourier distance between a positively weighted sum of Dirac measures on a metric space and a positive finite Borel measure. Explicit expressions are given for the distance to a single Dirac measure. For the case of a sum of several Dirac measures one needs to resort to...
journal article 2023
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Hulstijn, Joris (author), Tchappi, Igor (author), Najjar, Amro (author), Aydoğan, Reyhan (author)
Recommender systems aim to support their users by reducing information overload so that they can make better decisions. Recommender systems must be transparent, so users can form mental models about the system’s goals, internal state, and capabilities, that are in line with their actual design. Explanations and transparent behaviour of the...
conference paper 2023
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Osses, Alejandro (author), Greco, Gil Felix (author), Merino Martinez, R. (author)
Sound evaluation based on listening experiments is very costly and time-consuming. Alternatively, the sounds under evaluation can be compared using psychoacoustic metrics, under the hypothesis that sounds that differ by more than one just-noticeable difference (JND) are perceived as significantly different from each other. Wellestablished...
conference paper 2023
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Bieber, M.T. (author), Verhagen, W.J.C. (author), Cosson, Fabrice (author), Santos, Bruno F. (author)
Spacecraft systems collect health-related data continuously, which can give an indication of the systems’ health status. While they rarely occur, the repercussions of such system anomalies, faults, or failures can be severe, safety-critical and costly. Therefore, the data are used to anticipate any kind of anomalous behaviour. Typically this is...
journal article 2023
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Draws, T.A. (author), Roy, N. (author), Inel, Oana (author), Rieger, A. (author), Hada, Rishav (author), Yalcin, Mehmet Orcun (author), Timmermans, Benjamin (author), Tintarev, N. (author)
Adverse phenomena such as the search engine manipulation effect (SEME), where web search users change their attitude on a topic following whatever most highly-ranked search results promote, represent crucial challenges for research and industry. However, the current lack of automatic methods to comprehensively measure or increase viewpoint...
conference paper 2023
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Bartl, Frederik (author)
In this report, I investigate strategic decision making in the Formula E racing series for Porsche. Formula E is an electric car circuit racing series, where the main tasks of race strategy are allocating energy consumption across the race and timing mandatory "attack mode" activations (similar to small-scale pitstops). I work on a flawed...
master thesis 2022
Searched for: subject%3A%22metrics%22
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