Searched for: subject%3A%22Crowdsourcing%22
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van der Veeken, Just (author)
With the growing popularity of conversational interfaces, new use-cases in which conversation may be an effective medium for human-computer interaction are explored. Recent works have shown how conversational interfaces can improve worker engagement in micro-task crowdsourcing and that task performance is comparable to web-based interfaces. This...
bachelor thesis 2021
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Hu, Andy (author)
Despite the ever-growing advances in artificial intelligence (AI), common sense acquisition and reasoning is still comparingly in their early stages to other fields in AI. To further advance this field, it is necessary to collect large amounts of common sense facts or tacit knowledge to train such AI models. One effective way is to use...
bachelor thesis 2021
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Kalia, Neha (author)
The manual process of collecting and labelling data required for machine learning tasks is labour-intensive, expensive, and time consuming. In the past, efforts have been made to crowdsource this data by either offering people monetary incentives, or by using a gamified approach where users contribute to databases as a side-effect of playing an...
bachelor thesis 2021
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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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van den Haak, Daniel (author)
Lane change decision-making is an important challenge for automated vehicles, urging the need for high performance algorithms that are able to handle complex traffic situations. Deep reinforcement learning (DRL), a machine learning method based on artificial neural networks, has recently become a popular choice for modelling the lane change...
master thesis 2021
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Oudshoorn, Max (author)
Various visual external human-machine interfaces (eHMIs) have been proposed that communicate the intent of automated vehicles (AVs) to vulnerable road users. However, there is no consensus on which eHMI concept is most suitable for intent communication. In nature, animals have evolved the ability to communicate intent via visual signals....
master thesis 2020
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Nahimana, A. (author)
In this thesis, the quality and usefulness of crowdsourced precipitation measurements from 01/01/2019 to 31/01/2020 of 63 stations held by farmers in Burundi are investigated. Common sources of errors in the measurements are identified following field visits and discussions with farmers. Two filters for identifying and removing faulty zeros and...
master thesis 2020
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Oltmans, Rembrandt (author)
Data collection by means of crowdsourcing can be costly or produce inaccurate results. Methods have been proposed for solving these problems. However, it remains unclear what methods work best in scenarios with multiple similar objects of interest present in the same image, which is important for training computer vision with applications such...
bachelor thesis 2020
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Strafforello, Ombretta (author)
With the huge amount of data that is collected every day and shared on the internet, many recent studies have focused on methods to make multimedia browsing simple and efficient, investigating techniques for automatic multimedia analysis. This work specifically delves into the case of information extraction from videos, which is still an open...
master thesis 2019
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Limon De Jesus, Gianluca (author)
The Internet of Things (IoT) will soon impact the lives of thousands of people as numerous IoT devices are emerging in the consumer market. Consumers goods consist of products designed for the consumption of final consumers. Even though IoT applications are expected to improve people's lives, security is often lacking in current IoT devices....
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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Xu, Yixin (author)
The world’s continuously increasing population leads to environmental challenges, among which, the urban heat island effect has been recognized as one of the leading environmental issues recently. Using traditional weather station (usually one or two within one city and placed in rural area) to monitor and model the canopy layer urban heat...
master thesis 2019
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Valsamos, Charalampos Michail (author)
Nowadays with the growth of social media, users upload millions of photos in different platforms online. Researchers in the field of computer vision devote their time and effort to analyze images in order to gain valuable insight. Data<br/>analysis and classification can be impeded by different factors. One of which is the image filters that are...
master thesis 2019
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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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Satrio Wicaksono, Satrio (author)
Crowdshipping has emerged as an avenue to provide sustainable option for the<br/>future of urban package delivery. The main challenge in crowdshipping realm is to maintain sustainable network of customers (demand) and couriers (supply). To help resolving the challenge, this research offers a comprehensive approach to examine market potential of...
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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Vliegenthart, Daniël (author)
Named Entity Recognition (NER) for rare long-tail entities as e.g. often found in domain-specific scientific publications is a challenging task, as typically the extensive training data and test data for fine-tuning NER algorithms is lacking. Recent approaches presented promising solutions relying on training NER algorithms in a iterative...
master thesis 2018
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Borhem, Maria (author), Hizli, Beyza (author), Jimmink, Emma (author), van Steijn, Zoë (author)
bunq is an internationally active digital bank. At the moment, the bunq app is only available in English, Dutch, German, Italian and Spanish. Their goal is to be a worldwide player. To be able to fulfil this goal, their app should be available in multiple languages. In the past, the translation process took an unnecessary large amount of time....
bachelor thesis 2018
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Kortleve, Malou (author)
Formiliar is digital a tool with which users can explore artworks by completing challenges, all focussing on visual elements in paintings. The main aim of the application is to encourage users to look closely at the paintings and to familiarise with them visually. Through multiple challenges users will look at the way elements, such as colour or...
master thesis 2017
Searched for: subject%3A%22Crowdsourcing%22
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