Books by Attila Szantner
ISBN: 978-1-84888-438-0 First published in the United Kingdom in eBook format in 2016. First Edition, 2016
Videogames have come a long way from Super Mario Bros and Pong. After thirthy years of technologi... more Videogames have come a long way from Super Mario Bros and Pong. After thirthy years of technological advancements and academic criticisms, videogames have become a fertile ground for social change and virtual identity creation. Where big gam companies like Bioware, Bethesda, and Rockstar Games have begun to include more inclusive narratives, independent game companies are beginning to delve into the field of ' serious games', capitalising on the popularity and prevalence of social networking to inspire and assist non-game-related fields. While all of this is happening, a new subculture has become to dominate social media: that of the fanboy and the Let's Play YouTube video phenomenon. It is a dynamic time in videogame studies, from the perspective of player, designer and theorist. However, with the advent of virtual reality, the question remains: where will videogames, and subsequently or society, 'level up' to next ?
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Papers by Attila Szantner
Nature biotechnology, 2018
Pattern recognition and classification of images are key challenges throughout the life sciences.... more Pattern recognition and classification of images are key challenges throughout the life sciences. We combined two approaches for large-scale classification of fluorescence microscopy images. First, using the publicly available data set from the Cell Atlas of the Human Protein Atlas (HPA), we integrated an image-classification task into a mainstream video game (EVE Online) as a mini-game, named Project Discovery. Participation by 322,006 gamers over 1 year provided nearly 33 million classifications of subcellular localization patterns, including patterns that were not previously annotated by the HPA. Second, we used deep learning to build an automated Localization Cellular Annotation Tool (Loc-CAT). This tool classifies proteins into 29 subcellular localization patterns and can deal efficiently with multi-localization proteins, performing robustly across different cell types. Combining the annotations of gamers and deep learning, we applied transfer learning to create a boosted learn...
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Nature Biotechnology
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Books by Attila Szantner
Papers by Attila Szantner