Papers
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. (2018). Boundary spanning at the science–policy interface: the practitioners’ perspectives. Sustainability Science, 13(4), 1175 - 1183. https://doi.org/10.1007/s11625-018-0550-9
. (2018). Creativity, the arts, and the future of work (pp. 283 - 310; ). In (pp. 283 - 310). https://doi.org/10.1007/978-3-319-78580-6_9
. (2018). Cryptocurrency, Artificial Intelligence and basic income as innovative technological system. Path Of Science, 4(8), 2024 - 2030. https://doi.org/10.22178/pos10.22178/pos.37-6
. (2018). Data Science for Undergraduates. https://doi.org/10.17226/25104
. (2018). Data Science for Undergraduates. https://doi.org/10.17226/25104
. (2018). Data Science for Undergraduates. https://doi.org/10.17226/25104
. (2018). Data Science for Undergraduates. https://doi.org/10.17226/25104
. (2018). Data Science for Undergraduates. https://doi.org/10.17226/25104
. (2018). DEFINITION, APPLICATION AND INFLUENCE OF ARTI FICIAL INTELLIGENCE ON DESIGN INDUSTRIES. Landscape Architecture Frontiers, 6(2), 56. https://doi.org/10.15302/J-LAF-20180207
. (2018). Embracing the sobering reality of technological influences on jobs, employment and human resource development. European Journal Of Training And Development, 42(7/8), 400 - 416. https://doi.org/10.1108/EJTD-03-2018-0030
. (2018). Examination of cognitive load in the human-machine teaming context. Retrieved de https://hdl.handle.net/10945/59638
. (2018). Experimental evidence on productivity complementarities (). Retrieved de https://www.hbs.edu/faculty/Pages/item.aspx?num=53855
. (2018). Exploiting ability for human adaptation to facilitate improved human-robot interaction and acceptance. The Information Society, 34(3), 153 - 165. https://doi.org/10.1080/01972243.2018.1444255
. (2018). How real is the impact of artificial intelligence? The business information survey 2018. Business Information Review, 35(3), 99 - 115. https://doi.org/10.1177/0266382118790150
. (2018). How the anthropormorphization of virtual assistants influences user's trust. Academy Of Management Proceedings, 2018(1), 16328. https://doi.org/10.5465/AMBPP.2018.16328abstract
. (2018). How unequal? Insights on inequality. In CEDA – the Committee for Economic Development of Australia. Retrieved de https://www.ceda.com.au/CEDA/media/General/Publication/PDFs/CEDA-How-unequal-Insights-on-inequality-April-2018-FINAL_WEB.pdf
. (2018). Identifying factors reinforcing robotization: Interactive forces of employment, working hour and wage. Sustainability, 10(2), 490. https://doi.org/10.3390/su10020490
. (2018). Investigating ergonomics in the context of human-robot collaboration as a sociotechnical system (Vol. 784, pp. 127 - 135; ). In (Vol. 784, pp. 127 - 135). https://doi.org/10.1007/978-3-319-94346-6_12
. (2018). Lecture Notes in Computer ScienceArtificial General IntelligenceTowards a Sociological Conception of Artificial Intelligence (Vol. 10999, pp. 130 - 139; ). In (Vol. 10999, pp. 130 - 139). https://doi.org/10.1007/978-3-319-97676-1
. (2018). Machine Learning for Ecology and Sustainable Natural Resource ManagementUse of Machine Learning (ML) for Predicting and Analyzing Ecological and ‘Presence Only’ Data: An Overview of Applications and a Good Outlook (pp. 27 - 61; ). In (pp. 27 - 61). https://doi.org/10.1007/978-3-319-96978-7_2
. (2018). Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR). Systematic Reviews, 7(1). https://doi.org/10.1186/s13643-018-0740-7
. (2018). Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR). Systematic Reviews, (77). https://doi.org/10.1186/s13643-018-0740-7
. (2018). A principled machine learning framework improves accuracy of stage II colorectal cancer prognosis. Npj Digital Medicine, 1(1). https://doi.org/10.1038/s41746-018-0057-x