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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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Al Haydar, Anhar (author)Dynamic programming languages (DPLs), such as Python and Ruby, are often used for their flexibility and fast development. The absence of static typing can lead to runtime exceptions and reduced program understandability. To overcome these problems, some DPLs have introduced optional static typing. Because of the tedious effort of adding type...bachelor thesis 2022
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Sheremet, Denys (author)In AutoML, the search space of possible pipelines is often large and multidimensional. This makes it very important to use an efficient search algorithm. We measure the effectiveness of the Metropolis-Hastings algorithm (M-H) in a pipeline synthesis framework, when the search space is described by a context-free grammar. We also compare the...bachelor thesis 2023
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Popa, Vlad (author)In an attempt to find alternatives for solving partial differential equations (PDEs)<br/>with traditional numerical methods, a new field has emerged which incorporates<br/>the residual of a PDE into the loss function of an Artificial Neural Network. This<br/>method is called Physics-Informed Neural Network (PINN). In this thesis, we study dense...bachelor thesis 2022
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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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Bastow, Timothy (author)There is mounting evidence indicating a relation- ship between the gut microbiome composition and the development of mental diseases but the mech- anisms remain unclear. Shotgun sequenced data from 90 schizophrenic patients and 81 sex, age, weight, and location matched controls was used for three machine learning models: Logistic Re- gression,...bachelor thesis 2023
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van Heukelum, Robin (author), Oolbekkink, Gerben (author), Wolting, Matthijs (author)For traditional, manual real estate appraisals, the appraiser is required to provide a number of comparable properties (the 'Comps'). These comps act as a benchmark for the valuation as well as a provider of context in the final appraisal report. Traditionally, these comps are selected manually by an appraiser based on recent transactions within...bachelor thesis 2018
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Harting, Tom (author), Popping, Sven (author), Post, Mathieu (author), Swaab, Daniël (author)Being a bank, bunq deals with transaction fraud on a regular basis. All transactions that are handled by bunq are monitored for these cases of fraud by a transaction monitoring system. When this system flags a transaction as being possibly fraudulent, a bunq employee has to manually check this transaction. The problem with the current system is...bachelor thesis 2017
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Chen, Zhiyi (author)The learning curve illustrates how the generalization performance of the learner evolves with more training data. It can predict the amount of data needed for decent accuracy and the highest achievable accuracy. However, the behavior of learning curves is not well understood. Many assume that the more training data provided, the better the...bachelor thesis 2022
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Bacevičius, Vidas (author)AI-assisted development tools use Machine Learning models to help developers achieve tasks such as Method Name Generation, Code Captioning, Smart Bug Finding and others. A common practice among data scientists training these models is to omit inline code comments from training data. We hypothesize that including inline comments in the training...bachelor thesis 2022
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Boellaard, B. (author), Bolier, W. (author), Mairet, V. (author), Peeters, T. (author)This Bachelor Thesis is part of the Bachelor Computer Science and Engineering program at Delft University of Technology. During this project the team had to create an extension to an existing game framework. This extension consisted of improved artificial intelligence for the antagonist and a maze generator that could be re-used as a library....bachelor thesis 2015
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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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Backer, Suzanne (author)In the machine learning research community, significant importance is given to the optimization of techniques which are employed once a benchmark dataset is given. However, less importance is assigned to the quality of these datasets and to how these datasets are obtained. In this work, we look into annotation practices in the research area of...bachelor thesis 2023
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van Oudenhoven, Vincent (author)An empirical study is performed exploring the sensitivity to hidden confounders of GANITE, a method for Individualized Treatment Effect (ITE) estimation. Most real world datasets do not measure all confounders and thus it is important to know how crucial this is in order to obtain comparable predictions. This is explored through the removal of...bachelor thesis 2022
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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
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Oudhuis, Waded (author)Computers having the ability to estimate intentions to speak can improve human-computer interaction. While plenty of research has been done on next-speaker prediction, they differ from intentions to speak since these rely only on the person themselves. Previous research was done on inferring intentions to speak using accelerometer data with some...bachelor thesis 2023
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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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Brouwer, Hans (author)Deep neural networks have revolutionized multiple fields within computer science. It is important to have a comprehensive understanding of the memory requirements and performance of deep networks on low-resource systems. While there have been efforts to this end, the effects of severe memory limits and heavy swapping are understudied. We have...bachelor thesis 2020
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van Dingstee, Daan (author), Eland, Ruben (author)Increasing distributed generation of and demand for electrical energy results ever more in problems like congestion. Forecasting the demand, photovoltaic power generation and the number of electric vehicles connected to charging station for a residential neighbourhood can be an important part of a smarter distribution network for such a...bachelor thesis 2022
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Janssen, Jeroen (author)The Internet of Things (IoT) is producing significant amounts of data. Protecting this data from adversaries is therefore a prominent field of research. This paper conducts a review of the current state-of-the-art in the field of IoT integrated with Blockchain (BC) and Machine Learning (ML). The review focuses on the use of privacy and...bachelor thesis 2023