Searched for: subject%3A%22Crowdsourcing%22
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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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Inel, O. (author), Aroyo, Lora (author)
Event detection is still a difficult task due to the complexity and the ambiguity of such entities. On the one hand, we observe a low inter-annotator agreement among experts when annotating events, disregarding the multitude of existing annotation guidelines and their numerous revisions. On the other hand, event extraction systems have a...
conference paper 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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Mavridis, P. (author), Huang, Owen (author), Qiu, S. (author), Gadiraju, Ujwal (author), Bozzon, A. (author)
Conversational interfaces can facilitate human-computer interactions. Whether or not conversational interfaces can improve worker experience and work quality in crowdsourcing marketplaces has remained unanswered. We investigate the suitability of text-based conversational interfaces for microtask crowdsourcing. We designed a rigorous...
conference paper 2019
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Qiu, S. (author), Psyllidis, A. (author), Bozzon, A. (author), Houben, G.J.P.M. (author)
Knowledge about the organization of the main physical elements (e.g. streets) and objects (e.g. trees) that structure cities is important in the maintenance of city infrastructure and the planning of future urban interventions. In this paper, a novel approach to crowd-mapping urban objects is proposed. Our method capitalizes on strategies for...
conference paper 2019
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Bazilinskyy, P. (author), Kyriakidis, M. (author), Dodou, D. (author), de Winter, J.C.F. (author)
When fully automated cars will be widespread is a question that has attracted considerable attention from futurists, car manufacturers, and academics. This paper aims to poll the public's expectations regarding the deployment of fully automated cars. In 15 crowdsourcing surveys conducted between June 2014 and January 2019, we obtained answers...
journal article 2019
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Zheng, Feifei (author), Tao, Ruoling (author), Maier, Holger R. (author), See, Linda (author), Savic, Dragan (author), Zhang, Tuqiao (author), Chen, Qiuwen (author), Assumpção, Thaine H. (author), Solomatine, D.P. (author)
Data are essential in all areas of geophysics. They are used to better understand and manage systems, either directly or via models. Given the complexity and spatiotemporal variability of geophysical systems (e.g., precipitation), a lack of sufficient data is a perennial problem, which is exacerbated by various drivers, such as climate change...
review 2019
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Bazilinskyy, P. (author), Dodou, D. (author), de Winter, J.C.F. (author)
The automotive industry has presented a variety of external human-machine interfaces (eHMIs) for automated vehicles (AVs). However, there appears to be no consensus on which types of eHMIs are clear to vulnerable road users. Here, we present the results of two large crowdsourcing surveys on this topic. In the first survey, we asked...
journal article 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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Gkeli, Maria (author), Potsiou, Chryssy (author), Ioannidis, Charalabos (author)
The rapid economic and social transformation over the last several years, has led to multiple rearrangements regarding the land administration procedures. Vertically growing cities, complex infrastructure, subdivision of three-dimensional (3D) space through several uses and overlapping property rights have increased the demand for establishing...
conference paper 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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de Jong, M. (author), Mavridis, P. (author), Aroyo, Lora (author), Bozzon, A. (author), Vos, Jesse de (author), Oomen, Johan (author), Dimitrova, Antoaneta (author), Badenoch, Alec (author)
In this project we explore the presence of ambiguity in textual and visual media and its influence on accurately understanding and<br/>capturing bias in news. We study this topic in the context of supporting<br/>media scholars and social scientists in their media analysis. Our focus<br/>lies on racial and gender bias as well as framing and the...
conference paper 2018
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Kapcak, Öykü (author), Spagnoli, Simone (author), Robbemond, Vincent (author), Vadali, Soumitri (author), Najafian, S. (author), Tintarev, N. (author)
When a group is traveling together it is challenging to recommendan itinerary consisting of several points of interest (POIs). Thepreferences of individual group members often diverge, but it isimportant to keep everyone in the group satisfied during the entiretrip. We propose a method to consider the preferences of all thepeople in the group....
conference paper 2018
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Cabrall, C.D.D. (author), Lu, Z. (author), Kyriakidis, M. (author), Manca, L. (author), Dijksterhuis, C. (author), Happee, R. (author), de Winter, J.C.F. (author)
A common challenge with processing naturalistic driving data is that humans may need to categorize great volumes of recorded visual information. By means of the online platform CrowdFlower, we investigated the potential of crowdsourcing to categorize driving scene features (i.e., presence of other road users, straight road segments, etc.) at...
journal article 2018
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Afentoulidis, G. (author), Szlávik, Z. (author), Yang, J. (author), Bozzon, A. (author)
Enterprise crowdsourcing capitalises on the availability of employees for in-house data processing. Gamification techniques can help aligning employees' motivation to the crowdsourcing endeavour. Although hitherto, research efforts were able to unravel the wide arsenal of gamification techniques to construct engagement loops, little research has...
conference paper 2018
Searched for: subject%3A%22Crowdsourcing%22
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