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Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review. Journal Of Affective Disorders, 241, 519-532. https://doi.org/10.1016/j.jad.2018.08.073
. (2018). . (2018).
Automation, taxes and transfers with international rivalry. In Centre for Applied Macroeconomic Analysis. Retrieved de https://cama.crawford.anu.edu.au/sites/default/files/publication/cama_crawford_anu_edu_au/2018-09/44_2018_tyers_zhou.pdf
. (2018). A critical review of the politics of artificial intelligent machines, alienation and the existential risk threat to America’s labour force (Vol. 10963, pp. 217 - 232; ). In (Vol. 10963, pp. 217 - 232). https://doi.org/10.1007/978-3-319-95171-3_18
. (2018). A critical review of the politics of artificial intelligent machines, alienation and the existential risk threat to America’s labour force (Vol. 10963, pp. 217 - 232; ). In (Vol. 10963, pp. 217 - 232). https://doi.org/10.1007/978-3-319-95171-3_18
. (2018). A critical review of the politics of artificial intelligent machines, alienation and the existential risk threat to America’s labour force (Vol. 10963, pp. 217 - 232; ). In (Vol. 10963, pp. 217 - 232). https://doi.org/10.1007/978-3-319-95171-3_18
. (2018). The Future of Work: Robots Cooking Free Lunches?. European View, 17(2), 241 - 241. https://doi.org/10.1177/1781685818813010
. (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, 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, 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, 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). 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). 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). 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). . (2018).
Robot revolution: Myth or reality. Proceedings Of The Ieee, 106(12), 2095 - 2097. https://doi.org/10.1109/JPROC.2018.2877520
. (2018). The role of technological progress and structural change in the labour market (pp. 15 - 41; ). In (pp. 15 - 41). https://doi.org/10.1007/978-3-319-90548-8_2
. (2018). Understanding Chatbot-mediated Task Management ( ). In the 2018 CHI ConferenceProceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18 (1 - 6). https://doi.org/10.1145/317357410.1145/3173574.3173632
. (2018). Algorithms, artificial intelligence and automated decisions concerning workers and the risks of discrimination: the necessary collective governance of data protection. Transfer: European Review Of Labour And Research, 25(4), 465 - 481. https://doi.org/10.1177/1024258919876416
. (2019). Artificial Intelligence and the Future of the Drug Safety Professional. Drug Safety, 42(4), 491 - 497. https://doi.org/10.1007/s40264-018-0746-z
. (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). 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). Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task. European Journal Of Cancer, 113, 47 - 54. https://doi.org/10.1016/j.ejca.2019.04.001
. (2019).