Searched for: mods_note_programme_s%3A%22Computer%255C+Science%255C+%257C%255C+Web%255C+Information%255C+Systems%22
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te Marvelde, Pepijn (author)
In the realm of machine learning (ML), the need for efficiency in training processes is paramount. The conventional first step in an ML workflow involves collecting data from various sources and merging them into a single table, a process known as materialization, which can introduce inefficiencies caused by redundant data. Factorized ML strives...
master thesis 2024
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Bredius, Frank (author)
Searching the web on debated topics, which are issues under active discussion and where individual opinions diverge, can be highly challenging. It requires users to approach their queries objectively, browse many resources, and accept a certain level of uncertainty, even if it conflicts with personal values. In particular, confirmation bias, the...
master thesis 2023
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Zhang, liang (author)
Trust is a fundamental component in human-AI relationships, serving as a critical element of user acceptance and satisfaction, particularly within the realm of Decision Support Systems (DSS). The technological advances in conversational user interfaces (CUIs) such as ChatGPT and digital assistants (e.g., Alexa) allow laypeople to interact with...
master thesis 2023
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Wiemers, Gianni (author)
The use of data streams has increased a lot over the last two decades or so. and<br/>With this increase comes the need for fast and consistent fault recovery. Rollback<br/>recovery mechanisms from traditional distributed systems have been adapted successfully for stream engines. These mechanisms can be categorized into one of three different...
master thesis 2023
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Lammerts, Philippe (author)
Hate speech detection on social media platforms remains a challenging task. Manual moderation by humans is the most reliable but infeasible, and machine learning models for detecting hate speech are scalable but unreliable as they often perform poorly on unseen data. Therefore, human-AI collaborative systems, in which we combine the strengths of...
master thesis 2022
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Palakodeti, Anitej (author)
Generating synthetic images has wide applications in several fields such as creating datasets for machine learning or using these images to investigate the behaviour of machine learning models. An essential requirement when generating images is to control aspects such as the entities or objects in the image. Controlling this helps in creating...
master thesis 2022
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Walker, Alexander (author)
As serverless computing grows in popularity, developers are demanding more from existing serverless models. One example is the emergence of Stateful Function as a Service (SFaaS), in which state is added to operators in existing Function as a Service (FaaS) models, to support microservice-type applications while utilising the benefits of a...
master thesis 2022
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Koper,ook geschreven Jansen, Wybe (author)
As the world continues to embrace cloud computing, more applications are being scaled elastically. Elastic scaling allows applications to add or remove computing resources based on the load experienced by the application. When the load is high more resources are provisioned enabling the application to keep up with the load. When the load is low...
master thesis 2022
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Oudsen, Erik (author)
Due to the increase in student numbers, the amount of time teachers have for each individual decreases. To keep the quality of the program the same, learning analytics can be utilized to assist teachers to give a better overview of problems which the students are struggling the most with. This work makes use of WebLab data of the Introduction to...
master thesis 2021
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Lazo, Claudio (author)
Algorithmic decision-making (ADM) is becoming increasingly prevalent in society, due to the rapid technological developments in Artificial Intelligence. ADM make substantially impactful decisions about people: diagnosing whether we have a disease, what news and which ads we get to see, whether we<br/>are eligible for a job, benefits, a college...
master thesis 2020
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Stavroulakis, Alexandros (author)
Log data, produced from every computer system and program, are widely used as source of valuable information to monitor and understand their behavior and their health. However, as large-scale systems generate a massive amount of log data every minute, it is impossible to detect the cause of system failure by examining manually this huge size of...
master thesis 2019
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Huang, Owen (author)
Human Computation (HC) has established itself to be a powerful tool for carrying out certain simple and repetitive tasks in the form of microtasks, which to this day are still difficult for a machine to automate. <br/>With the latest increase in interest in machine learning, HC has similarly gotten more attention as a popular way to acquire...
master thesis 2018
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Balayn, Agathe (author)
Training machine learning (ML) models for natural language processing usually requires lots of data that is often acquired through crowdsourcing. In crowdsourcing, crowd workers annotate data samples according to one or more properties, such as the sentiment of a sentence, the violence of a video segment, the aesthetics of an image, ... To...
master thesis 2018
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Dimitrova, Aneliya (author)
With the increase of online education, a good description of learning resources has become vital for educational resource sharing and reuse. Resource description has been under the spotlight in recent years. Educational platforms can benefit from good resource organisation and description, thereby providing a higher quality of services and...
master thesis 2018
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Verdoorn, Joost (author)
Memes are theorized to be the building blocks of culture. Due to a lack of empirical validation, however, the theory of memes — memetics — remains in its infancy. We argue that one of the missing components for such empirical validation is a method for the large-scale identification of memes.<br/><br/>In this thesis, we develop a method for the...
master thesis 2018
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