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Choi, D. Y., & Kang, J. Hyeung. (2019). Net job creation in an increasingly autonomous economy: The challenge of a generation. Journal Of Management Inquiry, 28(3), 300 - 305. https://doi.org/10.1177/1056492619827372
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Davenport, T., & Kalakota, R.. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(2), 94 - 98. https://doi.org/10.7861/futurehosp.6-2-94
Saba, L., Biswas, M., Kuppili, V., Godia, E. Cuadrado, Suri, H. S., Edla, D. Reddy, et al.. (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
Saba, L., Biswas, M., Kuppili, V., Godia, E. Cuadrado, Suri, H. S., Edla, D. Reddy, et al.. (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
Saba, L., Biswas, M., Kuppili, V., Godia, E. Cuadrado, Suri, H. S., Edla, D. Reddy, et al.. (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
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Kittur, A., Yu, L., Hope, T., Chan, J., Lifshitz-Assaf, H., Gilon, K., et al.. (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
Kittur, A., Yu, L., Hope, T., Chan, J., Lifshitz-Assaf, H., Gilon, K., et al.. (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
Kuhn, T. (2015). Science bot: a model for the future computation (A. Gangemi, Leonardi, S., & Panconesi, A., Trans.). In the 24th International ConferenceProceedings of the 24th International Conference on World Wide Web - WWW '15 Companion (1061 - 1062). https://doi.org/10.1145/2740908.2742014
Schneider, S., Taylor, G. W., & Kremer, S. C.. (2020). Similarity Learning Networks for Animal Individual Re-Identification-Beyond the Capabilities of a Human Observer. In Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2020 (479, 44–52). https://doi.org/10.1109/WACVW50321.2020.9096925
Basso, P., Chiaretti, G., Krzywdzinski, M., Gerber, C., & Evers, M.. (2018). The social consequences of the digital revolution (Vol. 6). In (Vol. 6). https://doi.org/10.30687/2610-968910.30687/978-88-6969-273-410.30687/978-88-6969-273-4/008
Lee, H., Kwon, H., Robinson, R. M., Nothwang, W. D., & Marathe, A. R.. (2016). SPIE ProceedingsAn efficient fusion approach for combining human and machine decisions. In SPIE Defense + SecurityMicro- and Nanotechnology Sensors, Systems, and Applications VIII (9836, 983621). https://doi.org/10.1117/12.2220788
Correia, A., Jameel, S., Paredes, H., Fonseca, B., & Schneider, D.. (2019). Steps toward a scaffolding design framework (pp. 149 - 161; V. - J. Khan, Papangelis, K., Lykourentzou, I., & Markopoulos, P., Eds.). In (pp. 149 - 161). https://doi.org/10.1007/978-3-030-12334-5_5

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