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Chu, Yuxin (author)
Visually impaired people should enjoy the same rights to acquire information as people with normal sight. Since visual contents become more and more pervasive in our daily life, image description becomes increasingly important to help visually impaired people to get equal access to the information contained in visual contents. However, how to...
master thesis 2021
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Wirjopawiro, Sabrina (author)
Facial emotion recognition from thermal images has gained more attention in recent years. Thermal cameras capture the heat emitted by objects and therefore thermal images are not sensitive to illumination changes. Furthermore, changes in temperature can indicate emotions and it is harder for humans to fake emotions in front of a thermal camera....
master thesis 2021
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Ueberschär, Frederik (author)
Our world climate is an incredibly complex and ever-changing system. The reality of climate change and the consequential pressure to act fast to reduce greenhouse gas emissions requires immediate attention. And yet, despite this unprecedented urgency, active public engagement needed to motivate meaningful change is still missing.<br/> <br/> This...
master thesis 2021
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Bakker, Niels (author)
Event managers at large city events use crowd density as a metric in the process of maintaining safety at large scale city events. Identifying the density of crowds at these events relies on expensive physical infrastructure to work well or have limited accuracy. We propose amethod that addresses the gap of not relying on physical infrastructure...
master thesis 2020
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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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van der Smagt, Mark (author)
Daily stress is a problem that many people are suffering from. In previous research a prototype was developed to help users to identify their own stressful places and encourage them to conduct self-training exercises in those locations. This prototype is called ‘Grippy’. The goal of this project is to explore what qualities Grippy’s vibration...
master thesis 2020
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Liu, Y. (author)
ArenAPoort is an area in Amsterdam’s Zuidoost (Southeast) district, with multiple functions including working, shopping, and entertainment. Most importantly, it is an event area with three famous venues: Johan Cruijff ArenA, Ziggo Dome, and AFAS Live.<br/>Hundreds of events are held in this area every year. During the event period, mobility can...
master thesis 2020
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Wu, Elyn Caili (author)
Knowledge sharing brings overall value to organisations in the growth of the business and its people. For designers, sharing stimulates creativity and encourages personal development via collective sharing within the community, making happier individuals and by extension, a happier team. For knowledge sharing to happen, cultural change and the...
master thesis 2020
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Soilis, P. (author)
Deep learning models have achieved state-of-the-art performance on several image classification tasks over the past years. Several studies claim to approach or even surpass human-levels of performance when using such models to classify images. However, these architectures are notoriously complex, thus making their interpretation a challenge....
master thesis 2020
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GU, Shengfeng (author)
<br/>Artificial intelligence (AI) is expected to play a transformational role in health and wellbeing. Search (i.e. information retrieval) technologies already play a significant role in healthcare research and practice. Relevance feedback in Search is vital for system evaluation and improvements. However, in small user scale contexts, the...
master thesis 2020
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Rikalo, N. (author)
Human induced pluripotent stem cells (hiPSCs) offer the possibility to model human disease and study their behavior. They help scientists discover early disease-causing events in cells and are therefore used in discoveries about premature aging, congenital heart disease, cancer, and disorders connected to fetal development. Because of their...
master thesis 2020
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van Alphen, Gerard (author)
Crowd-mapping is a relatively new field of research, which involves the collection of geographic data by a crowd of workers. The collection of said data is of great importance for organizations like municipalities, where it is used for applications such as maintaining streets and greenery. The benefit of crowd-mapping over traditional mapping...
master thesis 2020
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ter Haar Romenij, Jeroen (author)
A significant portion of academic graduates have difficulty finding a first job after graduation. Research shows that the expectations of academic graduate job seekers and employers do not align and this graduation project confirms that job seekers and employers do not speak the same language. On the one hand, job seekers do not seem very able...
master thesis 2020
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Krishnan, Vishruth (author)
With the increasing use of big data in varied applications to improve decision making and provide new insights, the research explores the potential of the Uber Movement data set released by Uber comprising of travel times from one zone to the other. A better understanding of the potential of the dataset could lead to the addition of the existing...
master thesis 2019
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Dimitropoulos, George (author)
Machine Learning models are increasingly used to assist or replace humans in a variety of decision-making domains. However, a lot of concerns have been raised about the impact of these decisions on people’s lives. In this work we focus on two main problems. The first one is that there might be discrimination between different groups of people...
master thesis 2019
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Manousogiannis, Manolis (author)
Online social networks have revolutionized the way people interact with each other nowadays. Users often share their experiences in various health - related topics like disease symptoms, drug treatments and other medical related issues in order to discuss with other patients dealing with similar conditions. During the production of a new drug,...
master thesis 2019
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Prasad, Nivedita (author)
People like to travel in groups to visit places. Group recommendation systems can be used to recommend an itinerary of "places of interests" (POIs) in an ordered sequence. The order of POIs in the sequence can be explained to group members to increase acceptance of the recommended items. There is a possibility that explanations which reveal...
master thesis 2019
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Thuraka, Neha (author)
Crowdsensing is a powerful tool to easily sense diverse physical environments by collecting data from an undefined network of people. With advancements in smartphone technology, there has been an increase in the use of mobile applications to perform crowdsensing tasks. However, previous work shows that mobile applications have issues with...
master thesis 2019
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Shriram, Sharad (author)
Modern web information systems use machine learning models to provide personalized user services and experiences. However, machine learning models require annotated data for training, and creating annotated data is done through crowdsourcing tasks. The content used in annotation crowdsourcing tasks like medical records and images might contain...
master thesis 2019
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Enreina Annisa Rizkiasri, Enreina (author)
Knowledge Base Construction (KBC) is a challenging and complex task involving several substeps and many experts of a knowledge domain. Crowdsourcing approach has been used to support KBC with promising scalability and output quality, but to enable even more people to participate in KBC, there is a need to broaden the pool of workers beyond the...
master thesis 2019
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