Searched for: author%253A%2522Mavridis%252C%2520P.%2522
(1 - 5 of 5)
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Ørting, S. N. (author), Doyle, A. (author), van Hilten, A. (author), Hirth, M. (author), Inel, O. (author), Madan, C. R. (author), Mavridis, P. (author), Spiers, H. (author), Cheplygina, V. (author)
Rapid advances in image processing capabilities have been seen across many domains, fostered by the application of machine learning algorithms to "big-data". However, within the realm of medical image analysis, advances have been curtailed, in part, due to the limited availability of large-scale, well-annotated datasets. One of the main reasons...
journal article 2020
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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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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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Balayn, A.M.A. (author), Mavridis, P. (author), Bozzon, A. (author), Timmermans, B.F.L. (author), Szlávik, Z. (author)
Training machine learning (ML) models for natural language processing usually requires large amount of data, often acquired through crowdsourcing. The way this data is collected and aggregated can have an effect on the outputs of the trained model such as ignoring the labels which differ from the majority. In this paper we investigate how label...
conference paper 2018
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Mavridis, P. (author), de Jong, M. (author), Aroyo, Lora (author), Bozzon, A. (author), Vos, Jesse de (author), Oomen, Johan (author), Dimitrova, Antoaneta (author), Badenoch, Alec (author)
Bias is inevitable and inherent in any form of communication. News often appear biased to citizens with dierent political orientations, and understood dierently by news media scholars and the broader public. In this paper we advocate the need for accurate methods for bias identication in video news item, to enable rich analytics capabilities in...
conference paper 2018
Searched for: author%253A%2522Mavridis%252C%2520P.%2522
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