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van der Vlugt, Boaz (author)The field of robust optimization deals with problems where uncertainty influences the optimal decision. Some of these problems can be formulated in a ‘two-stage’ formulation, such as the location transportation problem. To solve such a problem, a column-and-constraint-generation algorithm has been introduced in which constraints are iteratively...bachelor thesis 2021
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Plesner, M.K. (author)The key to producing high-fidelity time-series data is to preserve temporal dynamics. This means that generated sequences respect the relationship between variables across time as in the original data. While new types of GANs have been used to generate time-series data, they, like previous GAN<br/>implementations, are time consuming to train. A...bachelor thesis 2021
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Schop, Melvin (author)Tacit knowledge, unlike explicit knowledge, is not easily codifiable, yet important for machine learning models. This research explores a method to gather tacit knowledge about humor using a simple text-based party game, building on the existing idea of using games to gather tacit knowledge from crowds of people. Players propose prompts, which...bachelor thesis 2021
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Niri, Omri (author)Machine learning algorithms were used in in the past decade to assist humans with recruitment and grades assessments in the academic field. For the most part, the algorithms either exacerbated existing biases or output unfair results. This could often be traced back to an ill-implementation of the systems in the social context. The academic...bachelor thesis 2021
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Kroskinski, Ivo (author)Variational Auto-Encoders are a class of machine learning models that have been used in varying context, such as cancer research. Earlier research has shown that initialization plays a crucial part in training these models, since it can increase performance. Therefore, this paper studies the effect initialization methods on VAEs. This research...bachelor thesis 2021
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Broscăreanu, Madalin (author)Machine learning can still make harmful mistakes. A solution would be tacit knowledge. Machine learning needs this type of knowledge to improve. An example of such knowledge that can help make the system draw better logical conclusions would be: if presented with an open fridge, then it could deduct that the food will go bad. Tacit knowledge or...bachelor thesis 2021
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Mălan, Abel (author)Decision trees are often desirable for classification/regression tasks thanks to their human-friendly models. Unfortunately, the construction of decision trees is a hard problem which usually implies having to rely on imperfect heuristic methods. Advancements in algorithmics and hardware processing power have rendered globally optimal trees...bachelor thesis 2021
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Lyrakis, Kostas (author)Logging is a common practice of vital importance that enables developers to collect runtime information from a system. This information is then used to monitor a system's performance as it runs in production and to detect the cause of system failures. Besides its importance, logging is still a manual and difficult process. Developers rely on...bachelor thesis 2021
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Latoškinas, Evaldas (author)Semi-autonomous driving innovations aim to bridge the gap to fully autonomous driving by co-operating with human drivers to lead to optimal choices on who should drive in different scenarios by offering different automation levels. However, in the present day, known semi-autonomous driving solutions do not generalise to every complex case of...bachelor thesis 2021
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Morris, Darwin (author)The creation of comic illustrations is a complex artistic process resulting in a wide variety of styles, each unique to the artist. Conditional image synthesis refers to the generation of de novo images based on certain preconditions. Applying machine learning to conditionally generate novel comics proves an intriguing yet difficult task. This...bachelor thesis 2021
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Vass, Kristóf (author)Stance detection is a Natural Language Processing task that aims to detect the stance (support, agreement, or disagreement) of a piece of text towards some target. In this paper, we aim to find the best performing pair of feature extraction method and feature-based machine learning algorithm. By doing so, an explainable method can be found to...bachelor thesis 2021
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Gismondi, Roberta (author)Decision-making dynamics and their impact of human behaviour have raised a large number of questions throughout the years. Traits like competition and collaboration amongst agents are often studied, in the context of Game Theory, by the medium of games such as the Iterative Prisoners’ Dilemma.Furthermore, many realistic scenarios and possible...bachelor thesis 2021
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van Es, Tim (author), Helfferich, Florens (author)Atrial fibrillation (AF) is the most common type of cardiac arrhythmia occurring in around 0.5% of the world population. AF is characterized by the rapid and irregular beating of the atrial chambers of the heart, which can cause lead to strokes and other heart-failures. To prevent these consequences the early detection of AF is paramount. Using...bachelor thesis 2021
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Molhoek, Jord (author)Decision trees are most often made using the heuristic that a series of locally optimal decisions yields a good final decision tree. Optimal decision trees omit this heuristic and exhaustively search - with many optimization techniques - for the best possible tree. In addition, training an ensemble of decision trees with some randomness has...bachelor thesis 2021
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Jong, Emilie (author), Verhagen, A.R.I. (author)This report presents a bed exit prediction model using a decision tree classifier, a machine learning method. This system is designed to alarm a caregiver in a nursing home to prevent bed falls among institutionalized elderly. For the input of this algorithm, features are derived from four force sensing resistor sensors and six piezoelectric...bachelor thesis 2020
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Haas, Joey (author), Klazinga, Rembrandt (author), van Stijn, Nick (author), Teunissen, Jasper (author), Zhang, Peter (author)The core challenge of the BedBasedEcho BEP project is to create an algorithm to find the heart, and apply it on a robotic echocardiography solution. The team has found multiple complex solutions that are related to this problem, and has extracted useful information from these solutions to apply to this problem. However, some of these complex...bachelor thesis 2020
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Meester, M.R. (author), Görkey, I. (author), Braakman, O.J. (author), Rood, T.T.G. (author), Bauman, N. (author)With the world in grasp of the COVID-19 pandemic, models predicting the spread of the virus can give indications to what extent a country is controlling the pandemic. Policymakers can decide to install so-called mitigation strategies to limit the spread of the virus. To aid the decision-making process, this report describes how a web application...bachelor thesis 2020
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Polderdijk, T.L.M. (author), Bervoets, J.M. (author), Dammeijer, E.A. (author), Schrijver, B.R. (author), Wu, Y. (author)This report is a document that presents the project Estimating landing time based on historical data. We want to succeed in designing and implementing a system based on requirements posed by our client AerLabs. The main goal we are researching is whether we can accurately predict the landing time and runway<br/>of arriving flights at Amsterdam...bachelor thesis 2020
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Meijer, I.D. (author), Morssink, B.J.C. (author)There are many different studies that try to use physiological features to determine stress. But there exists a lot of uncertainty about which physiological signals and features are the best classifiers and a lot of discrepancies in classification accuracies exist. This study proposes a novel method for the detection of stress. This method contains...bachelor thesis 2020
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den Ouden, Chris (author)Preclinical SPECT systems such as the U-SPECT have been able to achieve sub-half-millimetre spatial resolution with the use of cylindrical pinhole collimators. Utilising this type of collimator comes at the cost of a reduction in the total number of detection events that take place. In order to compensate for this either the activity of the...bachelor thesis 2020