Papers

Export 9 results:
Filters: First Letter Of Last Name is C  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
C
Cruz-Roa, A., Gilmore, H., Basavanhally, A., Feldman, M., Ganesan, S., Shih, N. N. C., et al.. (2017). A deep learning approach for quantifying tumor extent. Scientific Reports, 7(1). https://doi.org/10.1038/srep46450
Crowston, K., Østerlund, C., & Lee, T. Kyoung. (2017). Blending machine and human learning processes. In Hawai'i International Conference on System Sciences. https://doi.org/10.24251/HICSS.2017.009
PDF icon training v3 to share.pdf (245.57 KB)
Crowston, K., & Bolici, F.. (2019). Impacts of machine learning on work. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). Retrieved de http://hdl.handle.net/10125/60031
PDF icon Impacts_of_machine_learning_on_work__revision_.pdf (300.76 KB)
Crowston, K., & Bolici, F.. (2020). Impacts of Machine Learning on Work Design. Syracuse, NY: Syracuse University School of Information Studies.
PDF icon Impact of machine learning on work.pdf (604.31 KB)
Crone, T., & Zargar, M. Shafeie. (2018). How the anthropormorphization of virtual assistants influences user's trust. Academy Of Management Proceedings, 2018(1), 16328. https://doi.org/10.5465/AMBPP.2018.16328abstract
Croghan, S. M., Carroll, P., Ridgway, P. F., Gillis, A. E., & Reade, S.. (2018). Robot-assisted surgical ward rounds: virtually always there. Journal Of Innovation In Health Informatics, 25(1), 42-56.
Croghan, S. M., Carroll, P., Reade, S., Gillis, A. E., & Ridgway, P. F.. (2018). Robot Assisted Surgical Ward Rounds: Virtually Always There. Journal Of Innovation In Health Informatics, 25(1), 041. https://doi.org/10.14236/jhi.v25i1.982
Crews, A. (2015). The big move toward big data in employment. In Employment& Labor Law Solutions Worldwide. Retrieved de https://www.littler.com/files/wp_big_data_8-04-15.pdf
Nathan, L. F. (2018). Creativity, the arts, and the future of work (pp. 283 - 310; J. W. Cook, Ed.). In (pp. 283 - 310). https://doi.org/10.1007/978-3-319-78580-6_9
Duckworth, P., Graham, L., & Osborne, M.. (2019). Inferring work task automatability from AI expert evidence (V. Conitzer, Hadfield, G., & Vallor, S., Trans.). 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
Data Science for Undergraduates. (2018). Data Science for Undergraduates. https://doi.org/10.17226/25104
Colbert, A., Yee, N., & George, G.. (2016). The digital workforce and the workplace of the future. Academy Of Management Journal, 59(3), 731 - 739. https://doi.org/10.5465/amj.2016.4003
Coelho, H. (2018). Reflections on the meaning of automated education. Education Policy Analysis Archives, 26, 115. https://doi.org/10.14507/epaa.26.3863
Cockshott, P., & Renaud, K.. (2016). Humans, robots and values. Technology In Society, 45, 19 - 28. https://doi.org/10.1016/j.techsoc.2016.01.002
Clément, M., & Guitton, M. J.. (2015). Users’ reactions to actions of automated programs in Wikipedia. Computers In Human Behavior, 50, 66 - 75. https://doi.org/10.1016/j.chb.2015.03.078
Cirillo, V., & Zayas, J. Molero. (2019). Labor, technology and work organization: An introduction to the forum. Journal Of Industrial And Business Economics, 46(3), 313 - 321. https://doi.org/10.1007/s40812-019-00126-w
Chuang, S., & Graham, C. Marion. (2018). Embracing the sobering reality of technological influences on jobs, employment and human resource development. European Journal Of Training And Development, 42(7/8), 400 - 416. https://doi.org/10.1108/EJTD-03-2018-0030

Pages