Searched for: contributor%3Acruz
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Bauman, Niels (author)
Advances in data science have caused an increase in the use of Artificial Intelligence (AI), specifically Machine Learning (ML), throughout various fields. Not only in research but in the industry as well, has ML been receiving increasing amounts of interest. Many companies rely on ML models to increase the efficiency of...
master thesis 2022
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Petrescu, Stefan (author)
Modern systems generate a tremendous amount of data, making manual investigations infeasible, hence requiring automating the process of analysis. However, running automated log analysis pipelines is far from straightforward, due to the changing nature of software ecosystems caused by the constant need to adapt to user requirements. In practice,...
master thesis 2022
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Zhang, Haiyin (author)
The popularity of machine learning has wildly expanded in recent years. Machine learning techniques have been heatedly studied in academia and applied in the industry to create business value. However, there is a lack of guidelines for code quality in machine learning applications. Although machine learning code is usually integrated as a small...
master thesis 2022
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Hullegien, Nils (author)
Microservice architectures (MSA) have become a dominant architectural style choice in the service oriented software industry. Because of this, as with any other system, some unoptimized approaches might creep into architectures. These are what we call anti-patterns, they can be considered the opposite of design patterns. Furthermore, a...
master thesis 2022
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van der Plas, Niek (author)
With the advancement of technology, organizations are experiencing more trouble with keeping their data private with it often leaked to the public via their code-repositories or databases. There are methods to counter the leakage of data while pushing code to a repository however, these are heavily reliant on regular expressions. Personal names,...
master thesis 2022
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Yarally, Tim (author)
In this work, we look at the intersection of Sustainable Software Engineering and AI engineering known as Green AI. AI computing is rapidly becoming more expensive, calling for a change in design philosophy. We consider both training and inference of neural networks used for image vision; to reveal energy-efficient practices in an exploratory...
master thesis 2022
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Ziengs, Bart (author)
Interpretability of ML models and image recognition models specifaclly, is a increasing problem. In this thesis, the design and implementation of Brickroutine: a system that used a trained model, is presented. Using human annotations, semantic interpretations are given to image classification problems. By giving an iterative approach in terms of...
master thesis 2022
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van Houten, Paul (author)
The distribution of multiple materials within a single structure is a strategy that various biological systems rely on to achieve outstanding mechanical performances. These biological examples illustrate the effective utilization of hard rigid and soft flexible materials in particular. The proper composition of such hard-soft materials exceeds...
master thesis 2021
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Veeger, Robin (author)
Functional gradients in hard-soft interfaces are abundant in nature, and we often mimic them to create strong and tough composites. A powerful tool for the designs and fabrication of biomimetic composites is voxel-based multi-material 3D printing. Earlier researches mainly focused on using this technique in the creation of gradients based on...
master thesis 2021
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van Oort, Bart (author)
Artificial Intelligence (AI) and Machine Learning (ML) are pervasive in the current computer science landscape. Yet, there still exists a lack of Software Engineering (SE) experience and best practices in this field. One such best practice, static code analysis, can be used to find code smells, i.e., (potential) defects in the source code,...
master thesis 2021
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Xie, Yuanhao (author)
The development of artificial intelligence (AI) has made various industries eager to realise and obtain the benefits of AI. There is an increasing amount of research surrounding AI, most of which is centred on the development of new AI algorithms and techniques, thereby, however, ignoring an increasing set of practical problems related to AI...
master thesis 2020
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Haakman, M.P.A. (author)
As organizations start to adopt machine learning in critical business scenarios, the development processes change and the reliability of the applications becomes more important. To investigate these changes and improve the reliability of those applications, we conducted two studies in this thesis. The first study aims to understand the evolution...
master thesis 2020
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