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Li, Martin (author)
In recent years, the rapid advancements in big data, machine learning, and artificial intelligence have led to a corresponding rise in privacy concerns. One of the solutions to address these concerns is federated learning. In this thesis, we will look at the setting of vertical federated learning based on tree models. We have built a system that...
master thesis 2024
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Oltmans, Rembrandt (author)
Despite the low adoption rates of artificial intelligence (AI) in respiratory medicine, its potential to improve patient outcomes is substantial. To facilitate the integration of AI systems into the clinical setting, it is essential to prioritise the development of explainable AI (XAI) solutions that improve the understanding of the AI...
master thesis 2023
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Patandin, Ayush (author)
Colorectal cancer is a widespread disease that significantly impacts the health of individuals worldwide. Understanding the needs and concerns of those affected by this disease is crucial for improving patient outcomes and enhancing the quality of care. Patient web forums have emerged as valuable platforms for individuals to openly share their...
master thesis 2023
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Kadiev, Adam (author)
The goal of this research is to model and understand the effects of tourism demand on air quality by performing data integration on multi-source data. This research is aimed at researchers and practitioners aiming to perform multidisciplinary research in the fields of data science and geoscience, presenting the methods and challenges that arise...
master thesis 2023
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Oprea, Ana (author)
Gene similarity has been an area of great interest in numerous fields for decades, as it can provide insights into the evolutionary relationships among different species. This knowledge is particularly useful for advancing biotechnologies, discovering new drugs and treatments for various issues and improving the characteristics in breed crops or...
master thesis 2023
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Vollebregt, Frank (author)
There are an estimated 253 million blind and visually impaired people in the world. To grant them access to text publications that contain images, experts are employed to write image descriptions. There is both a societal and a legislative pressure to supply image descriptions to all new and archived publications within a number of years, yet...
master thesis 2023
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Jayaraman Nagamani, Srinath (author)
Investigating changes in forest cover has been an area of intense research for decades. From manual surveys to remote sensing we have come a long way in mapping the world around us. Machine learning and its' younger sibling, deep learning, have emerged as highly useful tools on this journey. There are a wide variety of algorithms that take a...
master thesis 2022
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Mokiem, Riaas (author)
Dataset discovery techniques originally required datasets to have the same domain which made them unsuitable to be used on a larger scale. To avoid this requirement, newer techniques use additional information, aside from the datasets being processed, to better understand the data. They might rely on a knowledge base that describes the meaning...
master thesis 2022
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van den Bos, Sjoerd (author)
Electrocardiography is the craft of producing electrocardiograms. These graphs give physicians insight into the potential pathology of the heart. In order to come to a diagnosis, physicians use electrocardiograms in combination with follow-up physical examinations. There has been extensive research into automated methods that can differentiate...
master thesis 2022
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Meijer, Lisa (author)
Over time Linked Data collections are continuously subject to change because of numerous reasons. Users could insert new observations, or they could rectify erroneous statements in these knowledge graphs. In order not to lose historically import information, this trend of evolving Linked Data collections increases the need to version these...
master thesis 2022
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Akadiri, Femi (author)
Public technology has been shown to have a strong dependence on physical touch, which increases the transmission of diseases. Gesture recognition helps to reduce this transmission, as the dependence on physical touch is removed. Furthermore, the use of visible light for gesture recognition would reduce the power consumption of public technology,...
bachelor thesis 2022
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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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Breurkes, Arthur (author)
Database entity type recognition is the practice of recognizing conceptual entity types for which given data sets contain data. In big data or data lake settings, it is not always known which conceptual entity types are represented in each data set, making it difficult to extract value from the data. Depending on the logical schemas, each...
master thesis 2021
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van Veen, Carmen (author)
The Dutch version of the Public Records Request is named the ‘Wet Openbaarheid van Bestuur’ (Wob) , which provides the public with the right to request access to records from any governmental institution. The government has the obligation to provide information about policy and the execution of policy; however individuals who wish to obtain more...
master thesis 2020
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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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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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van den Bercken, Laurens (author)
Health literacy, i.e. the ability to read and understand medical text, is a relevant component of public health. Unfortunately, many medical texts are hard to grasp by the general population as they are targeted at highly-skilled health professionals and use complex language and domain-specific terms. Here, automatic text simplification making...
master thesis 2019
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Ariës, Alessandro (author), Esseveld, Jeroen (author), Korpel, Dennis (author), Wilms, Ivo (author)
This report describes the Bachelor End Project, a compulsory course for the Bachelor Computer Science at Delft University of Technology. This course has a group of 4 students complete a project for a real-world company (the client). The client for this project was Relive, a company that has a tracker for outdoor activities with a focus on the...
bachelor thesis 2018
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Valle Torre, Manuel (author)
In this thesis, we focus on database query processing for so-called experience items, i.e., items commonly encountered in E-Commerce systems such as books, games or movies which are better described by their perceived subjective consumption experience, or Perceptual Features, than by factual meta-data normally used in SQL-style queries. To...
master thesis 2018
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Langhout, C.E.I. (author), Pasterkamp, M. (author)
During the ten week project the implementation of a Widget Dashboard was made for the company Fenêtre. Fenêtre is a company that provides online solutions like web applications and consultancy. The dashboard displays different existing pages in the form of widgets which are freely movable and resizable by the user of the dashboard and give the...
bachelor thesis 2016
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