Searched for: subject%3A%22computer%255C+science%22
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Meeusen, Brent (author)
Scratch is a popular, visual programming language aimed at children, and is used by teachers and after school code clubs to teach their students about programming. Measuring whether they understand the underlying concepts, however, is a difficult task. In this research, we tried clustering Scratch projects by complexity to help students improve...
bachelor thesis 2024
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Lai, Hongrui (author)
With the help of information technology, people can not only store the massive knowledge formed over thousands of years in various network databases but also present the process of knowledge production in different spaces at the same time. At this time, education will present a new ecology that can be learned everywhere and all the time. The...
master thesis 2023
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Struijk, Casper (author)
This research proposes a new algorithm for mapping Normal Distribution Functions to Heightfields in order to answer its research question: ”Given an NDF, how can we generate a corresponding Heightfield using simple optimization algorithms?”. This research is important, as it helps us to gain a better understanding of how limited statistics-based...
bachelor thesis 2023
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LIU, SHUANG (author)
Images possess the ability to convey a wide range of emotions, and extracting affective information from images is crucial for affect prediction systems. This process can be achieved through the application of machine learning algorithms. Categorical Emotion States (CES) and Dimensional Emotion Space (DES) are two typical models used for...
bachelor thesis 2023
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Stellinga, Bram (author)
The segmentation of anatomical structures in 3D medical images is crucial for various applications in the field of medical imaging. Fully automated methods often lack accuracy, while manual segmenting requires much time and effort from a user. Due to this, Active Learning approaches are being proposed to solve this by making the method...
bachelor thesis 2023
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Popica, Tudor (author)
This research investigates the improvement of Kernel Density Estimation (KDE) comprehension in a university context via visualization-enhanced teaching. The study tackles KDE misconceptions, the efficacy of visual aids, and the role of previous mathematical and machine learning knowledge. Using a mix of literature review, survey, and...
bachelor thesis 2023
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Agrawal, Isha (author)
Metagenomic Next-Generation Sequencing (mNGS) presents a promising avenue to generate massive volume of sequence reads in a short period of time. This has opened opportunities for disease diagnosis based on individual variations and mutations by considering the microbiome profile of each patient. However, the effective use of this data requires...
master thesis 2023
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Taneva, Aleksandra (author)
Nowadays, the online industry contributes to a multi-billion dollar business, facilitates most of the population's everyday activities, and processes vast amounts of data, including personal data. Current work aims to explore the inconsistency or consistency of the content obtained by the websites to generate cookies based on various data that...
master thesis 2023
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Li, Wanda (author), Xu, Zhiwei (author), Sun, Yi (author), Gong, Qingyuan (author), Chen, Y. (author), Ding, Aaron Yi (author), Wang, Xin (author), Hui, Pan (author)
Outstanding users (OUs) denote the influential, 'core' or 'bridge' users in online social networks. How to accurately detect and rank them is an important problem for third-party online service providers and researchers. Conventional efforts, ranging from early graph-based algorithms to recent machine learning-based approaches, typically rely on...
journal article 2023
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Goncalves, J. E. (author)
This project started within the Junior Council (JC) of the TPM AI Lab. The TPM AI Lab was established in 2021 at the Faculty of Technology, Policy and Management (TPM) of TU Delft to consolidate research on AI within and outside TU Delft.<br/><br/>At the TPM AI Lab, we believe the noise around AI can be overwhelming. It is for us, and we believe...
book 2023
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Barták, Patrik (author)
Causal machine learning deals with the inference of causal relationships between variables in observational datasets. <br/>For certain datasets, it is correct to assume a causal graph where information about unobserved confounders can only be obtained through noisy proxies, and CEVAE aims to address this case. <br/>The number of dimensions of...
bachelor thesis 2022
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Hugtenburg, S. (author), Yorke-Smith, N. (author)
Delftse Foundations of Computation is a textbook for a one quarter introductory course in theoretical computer science. It includes topics from propositional and predicate logic, proof techniques, set theory and the theory of computation, along with practical applications to computer science. It has no prerequisites other than a general...
book 2022
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Murray-Rust, D.S. (author), Nicenboim, I. (author), Lockton, D (author)
In this paper, we explore the use of metaphors for people working with artificial intelligence, in particular those that support designers in thinking about the creation of AI systems. Metaphors both illuminate and hide, simplifying and connecting to existing knowledge, centring particular ideas, marginalising others, and shaping fields of...
conference paper 2022
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Mancini, Maurizio (author), Cavazza, Nicoletta (author), Higgs, Suzanne (author), Huisman, G. (author), Van Den Boer, Janet (author), Niewiadomski, Radoslaw (author)
contribution to periodical 2022
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Isch, Calvin (author), ten Thij, M.C. (author), Todd, Peter M. (author), Bollen, Johan (author)
Individuals can hold contrasting views about distinct times: for example, dread over tomorrow’s appointment and excitement about next summer’s vacation. Yet, psychological measures of optimism often assess only one time point or ask participants to generalize about their future. Here, we address these limitations by developing the optimism...
journal article 2022
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de Hoog, Dion (author)
In this research, we use different supervised and unsupervised machine learning techniques to detect anomalies in NetFlow data. We aim to create a system for home or small-business use where the user is in control. We use WEKA for the machine learning models and feature selection. The UGR’16 dataset is used to train and test the models. We...
master thesis 2021
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Aniche, Maurício (author), Mulder, F. (author), Hermans, Felienne (author)
Grading large classes has become a challenging and expensive task for many universities. The Delft University of Technology (TU Delft), located in the Netherlands, has observed a large increase in student numbers over the past few years. Given the large growth of the student population, grading all the submissions results in high costs. We...
conference paper 2021
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van Heel, Kevin (author), Ketelaar, Jasper (author), Ilgin, Emre (author), Noor, Yusuf (author), Ionescu, Victor (author)
This thesis concludes the final report which has been performed for the company Gymplanner. At the same time it is the summary for our bachelor end project, thus it is considered the bachelor thesis for our Computer Science Bachelor Degree
bachelor thesis 2019
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Aniche, Maurício (author), Hermans, F.F.J. (author), van Deursen, A. (author)
Software testing is an important topic in software engineering education, and yet highly challenging from an educational perspective: students are required to learn several testing techniques, to be able to distinguish the right technique to apply, to evaluate the quality of their test suites, and to write maintainable test code. In this paper,...
conference paper 2019
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Kouw, W.M. (author)
Artificial intelligence, and in particular machine learning, is concerned with teaching computer systems to perform tasks. Tasks such as autonomous driving, recognizing tumors in medical images, or detecting suspicious packages in airports. Such systems learn by observing examples, i.e. data, and forming a mathematical description of what types...
doctoral thesis 2018
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