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. (2018). Image Recognition of Disease-Carrying Insects: A System for Combating Infectious Diseases Using Image Classification Techniques and Citizen Science (). In Hawaii International Conference on System SciencesProceedings of the 51st Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System SciencesProceedings of the 51st Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2018.00010.24251/HICSS.2018.359
. (2018). Imagining a future of work that fosters mobility for all. Us Partnership On Mobility From Poverty. Retrieved de https://www.mobilitypartnership.org/imagining-future-work-fosters-mobility-all
. (2018). The impact of artificial intelligence on the HR function. In IES Perspectives on HR 2018. Presented at the IES Perspectives on HR 2018. Retrieved de https://www.employment-studies.co.uk/system/files/resources/files/mp142_The_impact_of_Artificial_Intelligence_on_the_HR_function-Peter_Reilly.pdf
. (2018). The impact of automation on employment: Just the usual structural change?. Sustainability, 10(5), 1661. https://doi.org/10.3390/su10051661
. (2018). The impact of technological progress on labour markets: policy challenges. Oxford Review Of Economic Policy, 34(3), 362 - 375. https://doi.org/10.1093/oxrep/gry002
. (2018). The impact of technology and globalization on employment and equity. International Journal Of Global Sustainability, 3(1), 49. https://doi.org/10.5296/ijgs.v3i1.14127
. (2018). Implications of technology for growth, factor shares, and employment. American Economic Review, 108(6), 1488 - 1542. https://doi.org/10.1257/aer.20160696
. (2018). Improving palliative care with deep learning. Bmc Medical Informatics And Decision Making, 18(S4). https://doi.org/10.1186/s12911-018-0677-8
. (2018). iNaturalist as a tool to expand the research value of museum specimens. Applications In Plant Sciences, 6(11), e01193. https://doi.org/10.1002/aps3.1193
. (2018). Industrial employment and income inequality: Evidence from panel data. Structural Change And Economic Dynamics, 45, 84 - 93. https://doi.org/10.1016/j.strueco.2018.02.006
. (2018). The influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions. Computers In Human Behavior, 85, 183 - 189. https://doi.org/10.1016/j.chb.2018.03.051
. (2018). The internet and jobs opportunities and ambiguous trends. In Policy Insights. Retrieved de https://www.ceps.eu/system/files/PI2018_06_LP-EN-LW_InternetAndJobs.pdf
. (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). Is IT changing the world? Conceptions of causality for information systems theorizing. Mis Quarterly, 42(4), 1255-1280. Retrieved de https://dl.acm.org/citation.cfm?id=3370119.3370131
. (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). Lecture Notes in Computer ScienceDesign, User Experience, and Usability: Theory and PracticeComparing Human Against Computer Generated Designs: New Possibilities for Design Activity Within Agile Projects (Vol. 10918, pp. 693 - 710; ). In (Vol. 10918, pp. 693 - 710). https://doi.org/10.1007/978-3-319-91797-9_48
. (2018). Looking though the Pygmalion Lens. Ai & Society, 33(4), 459 - 465. https://doi.org/10.1007/s00146-018-0866-0
. (2018). Machine intelligence: Blessing or curse? It depends on us! (pp. 25 - 39; ). In (pp. 25 - 39). https://doi.org/10.1007/978-3-319-90869-4_4
. (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). Machine Learning for Ecology and Sustainable Natural Resource ManagementMachine Learning and ‘The Cloud’ for Natural Resource Applications: Autonomous Online Robots Driving Sustainable Conservation Management Worldwide? (pp. 353 - 377; ). In (pp. 353 - 377). https://doi.org/10.1007/978-3-319-96978-7_18
. (2018). Machine Learning in Wildlife Biology: Algorithms, Data Issues and Availability, Workflows, Citizen Science, Code Sharing, Metadata and a Brief Historical Perspective. In , Machine Learning for Ecology and Sustainable Natural Resource Management (pp. 3 - 26). https://doi.org/10.1007/978-3-319-96978-7_1
. (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 Sure We Don’t Forget the Basics When Using Machine Learning. Jnci: Journal Of The National Cancer Institute, 111(6), 529 - 530. https://doi.org/10.1093/jnci/djy179