Papers
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How artificial intelligence and machine learning can impact market design (pp. 567 - 586). In (pp. 567 - 586). https://doi.org/10.7208/chicago/9780226613475.003.0023
. (2019). . (2019).
Inferring work task automatability from AI expert evidence ( ). In the 2019 AAAI/ACM ConferenceProceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society - AIES '19 (485 - 491). https://doi.org/10.1145/330661810.1145/3306618.3314247
. (2019). 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). The present and future of deep learning in radiology. European Journal Of Radiology, 114, 14 - 24. https://doi.org/10.1016/j.ejrad.2019.02.038
. (2019). The present and future of deep learning in radiology. European Journal Of Radiology, 114, 14 - 24. https://doi.org/10.1016/j.ejrad.2019.02.038
. (2019). Rise of the Machines: Advances in Deep Learning for Cancer Diagnosis. Trends In Cancer, 5(3), 157 - 169. https://doi.org/10.1016/j.trecan.2019.02.002
. (2019). Scaling up analogical innovation with crowds and AI. Proceedings Of The National Academy Of Sciences, 116(6), 1870-1877. https://doi.org/10.1073/pnas.1807185116
. (2019). Toward understanding the impact of artificial intelligence on labor. Proceedings Of The National Academy Of Sciences, 116, 6531–6539. https://doi.org/10.1073/pnas.1900949116
. (2019). Why small data holds the key to the future of artificial intelligence. In 8th International Conference on Data Science, Technology and ApplicationsProceedings of the 8th International Conference on Data Science, Technology and Applications (340 - 347). https://doi.org/10.5220/0007956203400347
. (2019). . (2018).
AI risk mitigation through democratic governance ( ). In the 2018 AAAI/ACM ConferenceProceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society - AIES '18 (366 - 367). https://doi.org/10.1145/3278721.3278801
. (2018). . (2018).
Artificial intelligence and sports journalism: Is it a sweeping change?. Technology In Society. https://doi.org/10.1016/j.techsoc.2018.03.001
. (2018). Artificial Intelligence Does Not Exist: Lessons from Shared Cognition and the Opposition to the Nature/Nurture Divide (Vol. 537, pp. 359 - 373; ). In (Vol. 537, pp. 359 - 373). https://doi.org/10.1007/978-3-319-99605-9_27
. (2018). Artificial Intelligence Does Not Exist: Lessons from Shared Cognition and the Opposition to the Nature/Nurture Divide (Vol. 537, pp. 359 - 373; ). In (Vol. 537, pp. 359 - 373). https://doi.org/10.1007/978-3-319-99605-9_27
. (2018). Artificial Intelligence Does Not Exist: Lessons from Shared Cognition and the Opposition to the Nature/Nurture Divide. In IFIP International Conference on Human Choice and Computers. Presented at the IFIP International Conference on Human Choice and Computers. Retrieved de https://doi.org/10.1007/978-3-319-99605-9_27
. (2018). Artificial Intelligence in Cardiology. Journal Of The American College Of Cardiology, 71(23), 2668 - 2679. https://doi.org/10.1016/j.jacc.2018.03.521
. (2018). Artificial intelligence, jobs, inequality and productivity: Does aggregate demand matter. In Maastricht Economic and social Research institute on Innovation and Technology. Retrieved de http://ftp.iza.org/dp12005.pdf
. (2018). Artificial intelligence, machine learning and the evolution of healthcare A bright future or cause for concern?. British Journal Of Radiology, 7(7), 223-225.
. (2018). Artificial intelligence, machine learning and the evolution of healthcare. Bone & Joint Research, 7(3), 223 - 225. https://doi.org/10.1302/2046-3758.73.BJR-2017-0147.R1
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