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Hacipoğlu, Sara (author)
The complexity of deep neural rankers and large datasets make it increasingly more challenging to understand why a document is predicted as relevant to a given query. A growing body of work focuses on interpreting ranking models with different explainable AI methods. Instance attribution methods aim to explain individual predictions of machine...
master thesis 2023
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Marinos, Marios (author)
Emotion recognition is a challenging problem in the field of computer vision. The automatic classification of emotions using facial expressions is a promising approach to understand human behavior in various applications such as marketing, health, and education. How- ever, recognizing some emotions, such as anger, jealousy, contempt, and disgust...
master thesis 2023
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Masouris, Thanos (author)
Chess recognition refers to the task of identifying the chess pieces configuration from a chessboard image. Contrary to the predominant approach that aims to solve this task through the pipeline of chessboard detection, square localization, and piece classification, we rely on the power of deep learning models and introduce two novel...
master thesis 2023
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Georgescu, Calin (author)
Kotlin is a programming language best known for its interoperability with Java, as well as the measurable improvements it offers over it. Since it became Android’s go-to language in 2019, the popularity and impact of Kotlin have risen greatly. Amidst this surge in popularity, the Kotlin developer team is working on a new version of the compiler...
master thesis 2023
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Hofman, Daan (author)
With the ever-increasing digitalisation of society and the explosion of internet-enabled devices with the Internet of Things (IoT), keeping services and devices secure is becoming more important. Logs play a critical role in sustaining system reliability. Manual analysis of logs has become increasingly difficult, accelerating the development of...
master thesis 2023
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Datskiv, Sergey (author)
On the intuitive level, software testing is important because it assures the quality of the software used by humans. However, ensuring this quality is not an easy task because as the complexity of the software increases, so do the efforts to test it. Search-based software testing is an active research field that develops and explores tools for...
bachelor thesis 2023
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Abhishek, Apoorva (author)
Software testing is an important yet time consuming task in the software development life cycle. Artificial Intelligence (AI) algorithms have been used to automate this task and have proven to be proficient at it. This research focuses on the automated testing of JavaScript programs, and builds upon the existing SynTest framework that is the...
bachelor thesis 2023
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Li, Erwin (author)
Software testing is an important but time-consuming task, making automatic test case generation an appealing solution. The current state-of-the-art algorithm for test case generation is DynaMOSA, which is an improvement of NSGA-II that applies domain knowledge to make it more suitable for test case generation. Although these enhancements are...
bachelor thesis 2023
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Güneri, Alp (author)
Software testing is a laborious job, and accounts for a large portion of software development expenses. Search-based automatic test case generation is an area of research that attempts to remedy this by discovering algorithms suited for generating test cases automatically. In this field, DynaMOSA is a state-of-the-art evolutionary algorithm,...
bachelor thesis 2023
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Viero, Diego (author)
In recent decades, automatic test generation has advanced significantly, providing developers with time-saving benefits and facilitating software debugging. While most research in this field focused on search-based test generation tools for statically-typed languages, only a few have been adapted for dynamically-typed languages. The larger...
bachelor thesis 2023
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Gielisse, A.S. (author)
Most recent works on optical flow use convex upsampling as the last step to obtain high-resolution flow. In this work, we show and discuss several issues and limitations of this currently widely adopted convex upsampling approach. We propose a series of changes, inspired by the observation that convex upsampling as currently implemented performs...
master thesis 2023
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Jongerius, Ricardo (author)
Online dating has become the most popular method of finding potential romantic partners. At the core of these platforms, there is a reciprocal recommender system which recommends users to other users on the platform. Breeze is an example of such a dating app, serving its users potential romantic partners every day in the hopes of sending them on...
master thesis 2022
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Tian, Yuhang (author)
In this work, we propose FLVoogd, an updated federated learning method in which servers and clients collaboratively eliminate Byzantine attacks while preserving privacy. In particular, servers use automatic Density-based Spatial Clustering of Applications with Noise (DBSCAN) combined with S2PC to cluster the benign majority without acquiring...
master thesis 2022
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Veldkamp, Lisette (author)
The continual increase in cyber crime revolving blockchain applications calls for secure blockchain systems and clarity on the division of security responsibilities. This research is an integrated project between two master programmes at the Delft University of Technology: Computer Science and Communication Design for Innovation, and focuses on...
master thesis 2022
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Al-Kaswan, Ali (author)
Reverse engineering binaries is required to understand and analyse programs for which the source code is unavailable. Decompilers can transform the largely unreadable binaries into a more readable source code-like representation. However, many aspects of source code, such as variable names and comments, are lost during the compilation and...
master thesis 2022
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Hafkemeyer, Linus (author)
As more and more aspects of our society and economy rely on software, security vulnerabilities in programs have become an increasingly significant threat. One such class of vulnerabilities are out-of-bounds writes, which are still one of the most widespread and dangerous types of security bugs in memory-unsafe programming languages five decades...
master thesis 2022
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Bijman, Matthijs (author)
Dataflow analysis is a powerful tool used for program optimization, static analysis, and editor services for many programming languages. Spoofax, a language workbench, contains a domain-specific language called FlowSpec for the definition of control-flow and dataflow semantics that language developers can use to implement dataflow analyses for...
master thesis 2022
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Mija, Andrei (author)
Agents trained through single-agent reinforcement learning methods such as self-play can provide a good level of performance in multi-agent settings and even in fully cooperative environments. However, most of the time, training multiple agents together using single-agent self-play yields poor results as each agent tries to learn how to perform...
bachelor thesis 2022
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Moreira-Kanaley, Janaína (author)
In an ad-hoc teamwork environment, artificial intelligence agents have the potential to take on supportive roles and complete tasks in collaboration with human players. The following paper investigates the use of employing population-based training (PBT) for reinforcement learning agents in the multi-player game Overcooked. In addition to this,...
bachelor thesis 2022
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van Veen, Nils (author)
In the field of cooperative AI, an environment is created called Overcooked AI based on the popular Overcooked game. Originally the environment is used to study deep reinforcement learning, on the other hand it also allows for cooperative planning methods of which the paper will focus on. These methods include coupled based planning with...
bachelor thesis 2022
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