Searched for: contributor:"Houben, Geert-Jan (graduation committee)"
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Smalbil, Jos (author)
In order to provide accurate statistics for industries, the classification of enterprises by economic activity is an important task for national statistical institutes. The economic activity codes in the Dutch business register are less accurate for small enterprises since small enterprises are not labelled manually. To increase the quality of...
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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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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Shastry, Aishwarya (author)
With the advent of Internet and resulting data boom, Recommender Systems have come to rescue by filtering the information available on the internet by providing us with relevant information. These systems come handy when one wants to listen to songs, watch movies or even buy products on the Internet. Primarily, these recommender systems used...
master thesis 2019
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Yeh, Chia-Lun (author)
News is the main source of information about events in our neighborhood and around the globe. In an era of digital news, where sources vary in quality and news spreads fast, it is critical to understand what is being consumed by the public. Partisan news is news that favors certain political parties or ideologies. It is undesirable because news...
master thesis 2019
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Urumovska, Bojana (author)
The Natural Language Generation field has advanced in generating human readable reports for domain experts in various fields. Nevertheless, Natural Language Generation and anomaly detection techniques have not been used in the rail domain yet. Currently, data analysis and incident reporting for log files from the train control system are...
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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Harting, Tom (author)
Open Relation Extraction (ORE) aims to find arbitrary relation tuples between entities in unstructured texts. Even though recent research efforts yield state-of-the-art results for the ORE task by utilizing neural network based models, these works are solely focused on the English language. Methods were proposed to tackle the ORE task for...
master thesis 2019
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Touloumis, Konstantinos (author)
The skyline operator has been proposed to bridge the gap between traditional and multimedia database systems by finding the optimal objects according to the notion of Pareto dominance. According to the notion of Pareto dominance an object dominates another if it is better in one attribute and equal in all others. Skyline sets end up being pretty...
master thesis 2019
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Rennings, Daan (author)
After surpassing human performance in the fields of Computer Vision, Speech Recognition and NLP, deep learning has been gaining scientific ground in IR. In spite of the sheer amount of publications that have proposed so-called neural IR approaches over the past decade, the field has not achieved the kind of progress seen in related fields. Over...
master thesis 2019
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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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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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Kreuk, Laura (author)
Consumers share their experiences or opinion about products or brands in various channels nowadays, for example on review websites or social media. Sentiment analysis is used to predict the sentiment of text from consumers about these products or brands in order to understand the tone of customers towards these products or brands. This thesis...
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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de Böck, Bas (author)
Non-recurrent traffic events, consisting of events of an unpredictable nature such as incidents and vehicle breakdowns, can either directly or indirectly influence road traffic. A better understanding of these events could prove beneficial towards improving a multitude of facets concerning the management of the Dutch road network. Traditional...
master thesis 2018
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Rikarno Putra, Sindunuraga (author)
Web search has become a convenient option for seeking information related to learning, therefore understanding how to facilitate human learning through a search engine has the potential to improve the quality of informal education and online learning. One less understood aspect of search as learning is the effect of collaboration in a search...
master thesis 2018
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Ghanmode, Ishan (author)
In today’s digital world, users are often confronted with an abundance of information. Whether the user is looking to compare online prices for products, searching for new movies to watch or music to listen, the available information at hand exceeds the amount of information which the user wants to consider before making a choice. For this,...
master thesis 2018
Searched for: contributor:"Houben, Geert-Jan (graduation committee)"
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