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Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science. Classical And Quantum Gravity, 34, 064003. https://doi.org/10.1088/1361-6382/aa5cea
. (2017). How artificial intelligence will redefine management. Havard Business Review. Retrieved de https://hbr.org/2016/11/how-artificial-intelligence-will-redefine-management
. (2016). How automation is changing auditing. Journal Of Emerging Technologies In Accounting, 14(1), 115 - 122. https://doi.org/10.2308/jeta-51730
. (2017). How life imitates chess: Making the right moves-from the board to the boardroom. New York, NY: Random House.
. (2008). How to respond to the fourth industrial revolution, or the second information technology revolution? Dynamic new combinations between technology, market, and society through open innovation. Journal Of Open Innovation: Technology, Market, And Complexity, 4(3), 21. https://doi.org/10.3390/joitmc4030021
. (2018). How to Streamline AI Application in Government? A Case Study on Citizen Participation in Germany ( ). In Electronic Government (pp. 233-247). https://doi.org/10.1007/978-3-030-27325-5
. (2019). How to Streamline AI Application in Government? A Case Study on Citizen Participation in Germany ( ). In Electronic Government (pp. 233-247). https://doi.org/10.1007/978-3-030-27325-5
. (2019). How to Streamline AI Application in Government? A Case Study on Citizen Participation in Germany ( ). In Electronic Government (pp. 233-247). https://doi.org/10.1007/978-3-030-27325-5
. (2019). Human and Machine Learning. Computational Economics. https://doi.org/10.1007/s10614-018-9803-z
. (2018). Human and smart machine co-learning with brain computer interface. Ieee Smc Magazine, 4. Retrieved de https://arxiv.org/abs/1802.06521
. (2018). Human and smart machine co-learning with brain computer interface. Ieee Smc Magazine, 4. Retrieved de https://arxiv.org/abs/1802.06521
. (2018). Human and smart machine co-learning with brain computer interface. Ieee Smc Magazine, 4. Retrieved de https://arxiv.org/abs/1802.06521
. (2018). . (2015).
Identifying factors reinforcing robotization: Interactive forces of employment, working hour and wage. Sustainability, 10(2), 490. https://doi.org/10.3390/su10020490
. (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 automation on employment: Just the usual structural change?. Sustainability, 10(5), 1661. https://doi.org/10.3390/su10051661
. (2018). Integrating ethical values and economic value to steer progress in Artificial Intelligenc. In National bureau of economic research. Retrieved de https://www.nber.org/papers/w26130
. (2019). Integration of people, technology and organization: the european approach. In International Conference on Human-Computer Interaction (HCI International) (pp. 957-961). Tokyo, Japan: Elsevier.
. (1995). Intelligible Models for HealthCare ( ). In the 21th ACM SIGKDD International ConferenceProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15 (1721 - 1730). https://doi.org/10.1145/278325810.1145/2783258.2788613
. (2015). Introduction: The Future of Jobs in an Increasingly Autonomous Economy. Journal Of Management Inquiry, 28(3), 298 - 299. https://doi.org/10.1177/1056492619827373
. (2019). Jobs lost, jobs gained: Workforce transactions in a time of automation. In McKinsey Global Institute. Retrieved de https://www.mckinsey.com/~/media/mckinsey/featured%20insights/future%20of%20organizations/what%20the%20future%20of%20work%20will%20mean%20for%20jobs%20skills%20and%20wages/mgi-jobs-lost-jobs-gained-report-december-6-2017.ashx
. (2017). Key Advantages and Risks of Implementing Artificial Intelligence in the Activities of Professional Communicators. In Proceedings of the 2020 IEEE Communication Strategies in Digital Society Seminar, ComSDS 2020 (82–86). https://doi.org/10.1109/ComSDS49898.2020.9101238
. (2020). Machine learning in Artificial Intelligence: Towards a common understanding ( ). 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.2019.630
. (2019). A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic. Jco Clinical Cancer Informatics, (3), 1 - 17. https://doi.org/10.1200/CCI.18.00056
. (2019). Machine learning-based clinical prediction modeling – A practical guide for clinicians. Artificial Intelligence In Precision Health, 257–278. https://doi.org/10.1016/b978-0-12-817133-2.00011-2
. (2020).