Papers

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Journal Article
Dellermann, D., Ebel, P., Söllner, M., & Leimeister, J. Marco. (2019). Hybrid Intelligence. Business & Information Systems Engineering, 61(5), 637 - 643. https://doi.org/10.1007/s12599-019-00595-2
Ebel, P., Söllner, M., Leimeister, J. Marco, Crowston, K., & de Vreede, G. - J.. (2021). Hybrid intelligence in business networks. Electronic Markets. https://doi.org/10.1007/s12525-021-00481-4
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Seeber, I., Bittner, E., Briggs, R. O., de Vreede, T., de Vreede, G. Jan, Elkins, A., et al.. (2020). Machines as teammates: A research agenda on AI in team collaboration. Information And Management, 57, 103174. https://doi.org/10.1016/j.im.2019.103174
Obermeyer, Z., & Emanuel, E. J.. (2016). Predicting the Future — Big Data, Machine Learning, and Clinical Medicine. New England Journal Of Medicine, 375(13), 1216 - 1219. https://doi.org/10.1056/NEJMp1606181
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
Eustace, S. (2018). Technology-induced bias in the theory of evidence-based medicine. Journal Of Evaluation In Clinical Practice, 24(5), 945 - 949. https://doi.org/10.1111/jep.12972
Edwards, C., Edwards, A., Spence, P. R., & Shelton, A. K.. (2014). Testing the differences in perceptions of communication quality for a human agent and a bot agent on Twitter. Computers In Human Behavior, 33, 372 - 376. https://doi.org/10.1016/j.chb.2013.08.013
Edwards, C., Edwards, A., Spence, P. R., & Shelton, A. K.. (2014). Testing the differences in perceptions of communication quality for a human agent and a bot agent on Twitter. Computers In Human Behavior, 33, 372 - 376. https://doi.org/10.1016/j.chb.2013.08.013
Tsvetkova, M., Yasseri, T., Meyer, E. T., J. Pickering, B., Engen, V., Walland, P., et al.. (2017). Understanding human-machine networks. Acm Computing Surveys, 50(1), 1 - 35. https://doi.org/10.1145/3039868

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