Searched for: contributor%3A%22Cunningham%2C+Scott+%28mentor%29%22
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Herber, Nils (author)
The use of machine learning systems has great potential to better predict probabilities of default for credit underwriting. Despite this advantage, herewith there exists the substantial risk of discrimination. Moreover, machine learning models with the highest prediction-accuracy are often the least explicable (i.e. explainable). Nonetheless,...
master thesis 2019
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Sirenko, Mikhail (author)
master thesis 2019
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Mohammad Ammar Faiq, Ammar (author)
Cardiovascular diseases are considered as one the deadliest disease and have also been the most prominent health burden around the world and particularly in the Netherlands. Enormously mitigation has been done to reduce the death burden, by improving the quality of health care services and research related to cardiovascular diseases. One...
master thesis 2019
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Andreas Yunus, Andreas (author)
A nation’s main port is a crucial component that contributes to the economic development of a country. Therefore, the role of the port becomes more critical nowadays. However, due to the existing hub-and-spoke structure of the European multimodal transportation network, polarisation and regionalisation are visible in the network. The increasing...
master thesis 2019
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Houwing, Lise (author)
The urban population is globally increasing. Additionally, mental health problems are increasing. The determinants of mental health are found to be more present in urban environments. Due to the growing populations and the urban presence of mental health determinants, mental health problems are risking to further increase. This thesis develops a...
master thesis 2019
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Khajehvajari, Milad (author)
As financial markets have evolved and become more digital, the ways of marketing, communication and customer service have also adapted to the times. Customers expect a higher standard from all industries, financial services included. On top of being a nuisance to unsatisfied customers, poor customer service costs industries globally $338.5...
master thesis 2019
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Delemarre, Julia (author)
Simulation models are increasingly used to substantiate long-term planning policy decisions. The communication of model results from modellers to policy-makers has not received much attention by scholars. While, without correct interpretation and correct use of model results the quality of the model itself is irrelevant for the impact of the...
master thesis 2019
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Xie, Tian (author)
Nighttime light remote sensing data is regarded as an important data that can be used to measure human socioeconomic activities. Because of the positive correlation between long time-series nighttime light data and economic development, long time-series nighttime light data can be used to construct GDP forecasting models to predict GDP. However,...
master thesis 2019
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Kalenter, Deniz (author)
The “affordability of housing” is generally defined as affordable housing for those with median household income (Eurostat, 2018). If not addressed effectively by policymakers, the unaffordable housing gap is expected to affect 1.6 billion people around the world by the year 2025 (McKinsey, 2014). The unaffordable housing in Amsterdam...
master thesis 2019
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Vaporidis, Dimitrios-Marios (author)
In this Master Thesis project, the objective is to study how can Supervised Machine Learning be used to detect text-based rumours for humanitarian activities in Twitter. A model was developed in this project in order to classify a tweet at question whether is a rumour or not and whether is relevant to humanitarian activities or not. The findings...
master thesis 2019
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van Rossum, Sabrine (author)
The theory of the Habermasian public sphere is applied to Twitter. To do so, the traditional literature on public opinion is combined with more recent literature on social media. After the literature research the main knowledge gap is identified. This gap is the lacking relation between the philosophical investigation on public opinion on...
master thesis 2018
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Jacobs, Freek (author)
Machine learning applications are increasingly being implemented in socio-technical safety-critical systems, but the safety of these applications is not well understood. This thesis used a mixed-method design and applied four methods to explore the field of machine learning and safety. With the results of these four methods, a framework was...
master thesis 2018
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van de Vorst, Jaap (author)
Companies, now more than ever, recognize the value of patent analysis in contribution to their competitive and business intelligence. In highly competitive technology oriented industries, this IP (Intellectual Property) -based intelligence has gained increasing awareness over the past decades (Rivette & Kline, 2000). As technologies have...
master thesis 2018
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Michielsen, Janneke (author)
During the last decade, two developments on the Dutch housing market have received a lot of attention. One of these developments concerns the recovering house prices and specifically the strong price rises in cities. The other development is related to the growth of the private rental sector and particularly the buy-to-let market. This market...
master thesis 2018
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Wijma, Daniel (author)
About 85 percent of all volume trade goes by marine traffic nowadays which is not expected to get any less soon. In marine operations there are different operations with each having their own characteristic. Different trades for example include containers, tankers, bulk, or passenger vessels. But in the end, all of them have to enter a port,...
master thesis 2018
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Giordani, Alessandro (author)
The last decade saw the rise of e-commerce trade and the shift of the manufacturing industry to the emerging economies, China first of all. In this context, the European Customs Authorities experienced an explosion of small parcels coming from e-commerce websites, often from China, and faced difficulties to detect fiscal frauds and security...
master thesis 2018
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Kaptein, Jesse (author)
master thesis 2018
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Huisman, Berend (author)
master thesis 2018
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Haak, Elise (author)
The incidence of natural disasters worldwide is increasing. As a result, there is a growing number of people in need, whereas limited resources to help these people are available. It is therefore important to effectively and efficiently prioritize the most vulnerable people in the preparedness phase, and the most affected people in the response...
master thesis 2017
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Chen, Yilin (author)
Enhancing supply chain resilience is of vital importance in today’s business to manage and mitigate the risks, especially in the semiconductor industry challenged with long cycle times and short product life-cycles. Transferring production from a primary site to an alternative site after a disaster is one of the strategies to ensure resilience...
master thesis 2017
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