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Assisting tourism in rural Southern Africa using machine learning. Presented at the. Retrieved de https://ieeexplore.ieee.org/document/8465441
. (2018). Automating the black art: Creative places for artificial intelligence in audio mastering. Geoforum, 96, 77-86. https://doi.org/10.1016/j.geoforum.2018.08.005
. (2018). . (2020).
Automation and the future of work. Centre For International Governance Innovation, (174). Retrieved de https://www.cigionline.org/publications/automation-and-future-work-scenarios-and-policy-options
. (2018). Automation surprises. In Handbook of Human Factors and Ergonomics (pp. 1926–1943).
. (1997). Automation-induced complacency for monitoring highly reliable systems: the role of task complexity, system experience, and operator trust. Theoretical Issues In Ergonomics Science, 8(4), 321 - 348. https://doi.org/10.1080/14639220500535301
. (2007). Autonomous tools and design: a triple-loop approach to human-machine learning. Communications Of The Acm, 62, 50–57.
. (2018). . (2018).
Beyond convergence of Nano-Bio-Info-Cognitive technologies. In WTEC Study on Convergence of Knowledge, Technology, and Society. Retrieved de http://www.wtec.org/NBIC2/Docs/FinalReport/Pdf-secured/NBIC2-FinalReport-WEB.pdf
. (2013). Beyond Dyadic Interactions: Considering Chatbots as Community Members ( ). In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19 (1-13). https://doi.org/10.1145/3290605
. (2019). Bots Coordinating Work in Open Source Software Projects. Computer, 52(9), 52 - 60. https://doi.org/10.1109/MC.2018.2885970
. (2019). 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). . (2001).
The changing nature of work: Careers, identities, and work lives in the 21 century. Academy Of Management Discoveries, 3(2), 111 - 115. https://doi.org/10.5465/amd.2017.0034
. (2017). The changing nature of work: Careers, identities, and work lives in the 21 century. Academy Of Management Discoveries, 3(2), 111 - 115. https://doi.org/10.5465/amd.2017.0034
. (2017). A chatbot for supporting teams in the empathy map method ( ). In Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2019.029
. (2019). A chatbot for supporting teams in the empathy map method ( ). In Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2019.029
. (2019). Citizen science on a smartphone: Participants’ motivations and learning. Public Understanding Of Science, 25(1), 45 - 60. https://doi.org/10.1177/0963662515602406
. (2016). Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark. European Journal Of Cancer, 111, 30 - 37. https://doi.org/10.1016/j.ejca.2018.12.016
. (2019). Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark. European Journal Of Cancer, 111, 30 - 37. https://doi.org/10.1016/j.ejca.2018.12.016
. (2019). Context-linked virtual assistants for distributed teams ( ). In the ACM 2008 conferenceProceedings of the ACM 2008 conference on Computer supported cooperative work - CSCW '08 (361). https://doi.org/10.1145/1460563.1460623
. (2008). Converging technologies for improving human performance: Integrating from the nanoscale. Journal Of Nanoparticle Research, 4(4), 281-295. Retrieved de https://link.springer.com/article/10.1023/A:1021152023349
. (2002). A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task. European Journal Of Cancer, 111, 148 - 154. https://doi.org/10.1016/j.ejca.2019.02.005
. (2019). A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task. European Journal Of Cancer, 111, 148 - 154. https://doi.org/10.1016/j.ejca.2019.02.005
. (2019). A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task. European Journal Of Cancer, 111, 148 - 154. https://doi.org/10.1016/j.ejca.2019.02.005
. (2019).