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Băbeanu, Alexandru (author)
Online advertisement is a multi-billion dollar industry that constitutes a primary source of income for most publishers offering free content on the Web. Online behavioural advertisement refers to the practice of serving targeted ads to online users based on their potential interests. In order to infer these interests, online advertisers...
master thesis 2021
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Zorgdrager, Wouter (author)
The cloud is widely adopted as a flexible and on-demand computing infrastructure. In recent years, a new and promising cloud paradigm emerged: serverless computing. Serverless computing promises a pay-as-you-go model and offers features such as autoscaling and high availability. Nevertheless, developing scalable cloud applications remains a...
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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Heinsohn Huala, Tomas (author)
Data-centric research is all about trying to obtain useful insights on products that its researchers trying to create/design by collecting usage data on their prototypes. This type of research, usually performed by data-scientist, make use of machine learning techniques in order to improve any system or product that makes use of automated...
master thesis 2021
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van der Laan, Paul (author)
The rising number of students challenges the teacher’s time-consuming task to provide consistent and high-quality feedback for all students. To address the traditional education’s challenges, researchers refer to online educational tools to assist teachers. Although large writing tools (for instance, Grammarly and Microsoft Editor) assist...
master thesis 2021
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Belzer, Nick (author)
Mobile networks deal with an increasing portion of the IP Traffic due to the significant growth in the number of mobile devices and the accompanied lifestyle. A large fraction of this IP traffic is spent on duplicate transfers for the same resources. Previous work has shown that a Content Delivery Network (CDN) based on edge-nodes can reduce...
master thesis 2021
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Sethia, Manisha (author)
Machine Learning models are begin increasingly used within the industry such as by financial institutions, governments and commercial companies. In the past few years, there have been several incidents where these ML models show discriminatory behavior towards particular groups of people, leading to unfair decisions that can have negative...
master thesis 2021
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Verheijde, Jim (author)
At the moment we are witnessing the maturation of distributed streaming dataflow systems whose use-cases have departed from the mere analysis of streaming windows and complex-event processing, as they now extend to cloud applications, workflows and even e-commerce. The state of streaming operators has been so far hidden from external...
master thesis 2021
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van der Laan, Niek (author)
Finding defects in proposed changes is one of the biggest motivations and expected outcomes of code review, but does not result as often as expected in actually finding defects. Just-in-time (JIT) defect prediction focuses on predicting bug-introducing changes, which can help with efficient allocation of inspection time according to the defect...
master thesis 2021
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Keulemans, Ruben (author)
Practice is central in mathematics skill acquisition. The practice process can be facilitated by flexible digital exercise systems, supporting personalized learning and providing students with parameterized, open answer exercises containing answer-specific feedback. However, current solutions for authoring these exercises lack efficiency and...
master thesis 2021
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Appel, Yoeri (author)
Nowadays technology has advanced so far that there are a lot of ways of capturing aerial imagery, causing this imagery to be widely available for a lot of areas in the world. Unfortunately, there are still types of aerial imagery that are not as widely available, such as images depicting the different seasons of the year. This thesis presents a...
master thesis 2021
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Guinea Perez, Javier (author)
The objective of this thesis was to develop a rodent tracker using the FlashTrack implants, and allow for tracking data to be used for behavioural research. The task was split into three main problems: detection, tracking and error detection. The detection was solved with basic image processing. The first step was background removal, using...
master thesis 2021
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de Heus, Martijn (author)
Lately, serverless computing has gained much attention. Function-as-a-Service (FaaS) is the most prominent serverless model. The FaaS model allows cloud users to write simple functions, and the cloud provider takes care of the deployment, main- tenance, and scalability of those functions. However, FaaS can be improved upon significantly....
master thesis 2021
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Psarakis, Kyriakos (author)
Schema matching is a fundamental task in the data integration pipeline and has been studied extensively in the past decades, leading to many novel schema matching methods. However, these methods do not follow a standard evaluation process, leading to uncertainty in which one performs best in matching accuracy and runtime constraints, and in...
master thesis 2020
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Smith, Thomas (author)
Stream processing has taken a prominent position in the software engineering industry. Many applications, from a small to large scale, embrace this paradigm to deal with the difficulties of responding to events that happen asynchronously: programmers define "operators" that perform small, independent tasks on individual events. These operators...
master thesis 2020
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Heemskerk, Bart (author)
Learning to program is not a easy task, as has become evident from the abundance of research papers concerning the subject. One of the learning barriers of learning a new programming language is understanding their error message, as coding errors have to be resolved before the programmer can run the code or add new functionality to the program....
master thesis 2020
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Puppels, Thomas (author)
Predict-and-Optimize (PnO) is a relatively new machine learning paradigm that has attracted recent interest: it concerns the prediction of parameters that determine the value of solutions to an optimization problem, such that the optimizer ends up picking a good solution. Training estimators with standard loss functions like mean squared error...
master thesis 2020
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Vermeulen, Martijn (author)
The amount of data being collected is growing exponentially, both in academics as well as in business. Unfortunately, the quality of that data can be poor, leading to poor decisions and increasing costs. Data cleaning, the process of detecting and correcting errors from a dataset, could be the solution to improve bad data.<br/>This research...
master thesis 2020
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Ionescu, Andra (author)
Schema matching has been a researched topic for over 20 years. Therefore, many schema matching solutions have been proposed to treat various problems such as: creating unified knowledge bases or mediation schema, data translation, data discovery, data curation. Such a wide variety of schema matching algorithms requires a benchmarking system that...
master thesis 2020
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Pasterkamp, Mark (author)
Most queries in a collection of queries, also called a query workload, to some degree have parts of their intermediate execution steps in common. These intermediate exe- cution steps, also called subexpressions, provide the opportunity to further optimize query workload execution in addition to the already existing query optimization done by the...
master thesis 2020
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