Searched for: bozzon
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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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Stavroulakis, Alexandros (author)
Log data, produced from every computer system and program, are widely used as source of valuable information to monitor and understand their behavior and their health. However, as large-scale systems generate a massive amount of log data every minute, it is impossible to detect the cause of system failure by examining manually this huge size of...
master thesis 2019
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Ketel, Thijmen (author)
RFID technology is slowly replacing traditional bar codes as a way to identify and track objects and individuals. However, consumer-oriented market penetration has been limited as dedicated RFID readers carry a high start-up cost. Furthermore, interactions with individual tags require special-purpose RFID readers. We present a novel RFID tag...
master thesis 2019
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Rietveld, Jip (author), de Vries, Rolf (author), de Boer, Jaap (author), Hondelink, Dieuwer (author)
Amsterdam Airport Schiphol has 5 runways, each of which can be used for take-off or landing of aeroplanes. The weather heavily influences which runway configuration air traffic control might pick. Airport Forecasting Service (AFOS) predicts which configuration of runways works most efficiently given a set of expected weather conditions and the...
bachelor thesis 2019
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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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Starmans, Ruben (author)
Web shops use recommender systems to help users find the products they find interesting in the large amount of available products online. An often used approach to do so is collaborative filtering. This method relies on historical user-item interactions and uses them to recommends products other users found interesting. Fashion is very reliant...
master thesis 2019
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Managundi, Kavya (author)
Locating people inside buildings is still an unsolved problem. There is a lot<br/>of research going on in this field and many different solutions using different<br/>techniques have been proposed. However, there is no widely accepted indoor<br/>localization solution like how GPS is for outdoor localization due to less accuracy, higher hardware...
master thesis 2019
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Garg, Priyanka (author)
The accelerating growth of the Internet of Things (IoT) has led to the development of many different communication protocols to enable the most optimal environment for the nature of IoT. Requiring long range and low power communication abilities, has resulted in LPWANs (low-power WANs); one such LPWAN is LoRaWAN (Long Range WAN) which is studied...
master thesis 2019
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Dritsas, Athanasios (author)
In the last years, the popularity of video-on-demand services has been constantly increasing, especially for the young audiences who are more adept at using new technologies. Through those platforms, the viewers have access to a huge volume of movies at any moment that makes the viewing decision for most of them a very challenging task....
master thesis 2019
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Milias, Vasileios (author)
The digital representations of physical places, known as Points-Of-Interest (POIs), have been the core element of various studies and platforms such as online mapping services (e.g. Google Maps) and location based social networks (e.g. Foursquare). The use of POIs as proxies of the real-world-places facilitates the study of places, urban...
master thesis 2018
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Huang, Owen (author)
Human Computation (HC) has established itself to be a powerful tool for carrying out certain simple and repetitive tasks in the form of microtasks, which to this day are still difficult for a machine to automate. <br/>With the latest increase in interest in machine learning, HC has similarly gotten more attention as a popular way to acquire...
master thesis 2018
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Balayn, Agathe (author)
Training machine learning (ML) models for natural language processing usually requires lots of data that is often acquired through crowdsourcing. In crowdsourcing, crowd workers annotate data samples according to one or more properties, such as the sentiment of a sentence, the violence of a video segment, the aesthetics of an image, ... To...
master thesis 2018
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