Searched for: contributor%3A%22Anand%2C+A.+%28graduation+committee%29%22
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Pigmans, Max (author)
Most of the adversarial attacks suitable for attacking decision tree ensembles work by doing multiple local searches from randomly selected starting points, around the to be attacked victim. In this thesis we investigate the impact of these starting points on the performance of the attack, and find that the starting points significantly impact...
master thesis 2024
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Timmerman, Gerben (author)
This thesis offers a comprehensive exploration of log-based anomaly detection within the domain of cybersecurity incident response. The research describes a different approach and explores relevant log features for language model training, experimentation with different language models and training methodologies, and the investigation of the...
master thesis 2023
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Karnani, Simran (author)
In recent years, there has been a growing interest among researchers in the explainability, fairness, and robustness of Computer Vision models. While studies have explored the usability of these models for end users, limited research has delved into the challenges and requirements faced by researchers investigating these requirements. This study...
master thesis 2023
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Ziad Ahmad Saad Soliman Nawar, Ziad (author)
Machine learning (ML) systems for computer vision applications are widely deployed in decision-making contexts, including high-stakes domains such as autonomous driving and medical diagnosis. While largely accelerating the decision-making process, those systems have been found to suffer from a severe issue of reliability, i.e., they can easily...
master thesis 2023
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Kaldenbach, Marco (author)
The advancement of wireless communication technologies has transformed how we exchange information in our daily lives. However, the increasing demand for wireless communication faces challenges due to limited radio wave bandwidth availability. In this context, visible light communication has emerged as a promising alternative, utilizing visible...
master thesis 2023
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Malmsten, Emil (author)
The application of large language models (LLMs) for programming tasks, such as automatic code completion, has seen a significant upswing in recent years. However, due to their computational demands, they have to operate on servers. This both requires users to have a steady internet connection and raises potential privacy concerns. Therefore,...
bachelor thesis 2023
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Sochirca, Dan (author)
Code generation models have become more popular recently, due to the fact that they assist developers in writing code in a more productive manner. While these large models deliver impressive performance, they require significant computational resources and memory, making them difficult to deploy and expensive to train. Additionally, their large...
bachelor thesis 2023
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Storti, Mauro (author)
The significant advancements in large language models have enabled their use in various applications, such as in code auto-completion. However, the deployment of such models often encounters challenges due to their large size and prohibitive running costs. In this research, we investigate the effectiveness of post-training quantization...
bachelor thesis 2023
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de Moor, Aral (author)
Large language models are powerful because of their state-of-the-art language processing abilities. But, they come at the cost of being extremely resource-intensive, and are steadily growing in size. As a result, compressing such models for resource- constrained devices is an active and promising re- search area. In spite of their current...
bachelor thesis 2023
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Brands, Anna (author)
In (open-source) development, developers routinely rely on other libraries to improve their coding efficiency by reusing code. This reliance on other packages could cause issues when critical dependencies have suddenly have a vulnerability introduced to them. This work analyzes the criticality for NPM. To get an accurate picture of what the most...
bachelor thesis 2022
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Purcaru, Andrei (author)
The use of open-source packages is a common practice among developers. It decreases the development time and improves maintainability. But adding a dependency to a project comes with inherit risks such as introducing vulnerabilities. A few solutions that help visualize all of the dependencies of a project exist already. However, none provide the...
bachelor thesis 2022
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Dobrev, Teodor (author)
The main principle of Open Source development is that developers can reuse different libraries over and over again to make their lives easier. That is why this practice has gained a lot of popularity. However, libraries usually depend on other already existing pieces of code. This means that whenever some small piece of code fails, the whole...
bachelor thesis 2022
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Corlade, Denis (author)
Developers rely on different software to improve their efficiency as to reuse parts of code and be able to maintain it with ease, which is why open source software libraries have gained much pop- ularity over the past years. This paper analyzes what are the most used packages from Apache Maven, which is a build automation tool used primarily for...
bachelor thesis 2022
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Širokov, Roman (author)
This study aims to examine the implications of bringing holographic projections – based on the TU Delft’s project ”HoloLearn” – into VR environment. With the spiked interest in remote communication caused by COVID-19, the demand for more immersive virtual conference software grows. And as Virtual Reality as a product becomes more affordable and...
bachelor thesis 2022
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van der Velden, Thom (author)
This study examines the effects of holograms when used for online learning. The research question is: "How does a holographic teacher projection affect engagement of the students with the learning material?". The engagement of students was compared in different lectures. The base lecture was a zoom lecture. The holographic lectures were a VR...
bachelor thesis 2022
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ZHAO, CHONG (author)
Deficiencies in online communication software inspired the HoloLearn project that proposes to aid hybrid education via a hologram. Yet the epistemic and psychological effects of this medium remain largely uncharted. To help integrate the hologram into a hybrid education system, the present study conducted experiments which explored the nature of...
bachelor thesis 2022
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Huang, Stephen (author)
Distance learning brings all sorts of advantages. The ability to follow lectures at home can save people transportation costs and time. Teaching through videoconferencing software such as Zoom is one of the methods to learn remotely. To explore new and better teaching methods, the possibility of using a telepresence robot is investigated. To...
bachelor thesis 2022
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Westerborg, Ties (author)
Learning to Rank is the application of Machine Learning in order to create and optimize ranking functions. Most Learning to Rank methods follow a listwise approach and optimize a listwise loss function which closely resembles the same metric used in the evaluation. Popular listwise loss functions such as nDCG, AP and nRBP do not have consistent...
master thesis 2022
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