Papers
Export 11 results:
Filters: First Letter Of Last Name is U [Clear All Filters]
Towards an understanding of how chatbots create value ( ). In Hawaii International Conference on System SciencesProceedings of the 51st Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System SciencesProceedings of the 51st Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2018.255
. (2018). Integration of people, technology and organization: the european approach. In International Conference on Human-Computer Interaction (HCI International) (pp. 957-961). Tokyo, Japan: Elsevier.
. (1995). Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark. European Journal Of Cancer, 111, 30 - 37. https://doi.org/10.1016/j.ejca.2018.12.016
. (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). 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). 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). Design concepts of computer-aided integrated manufacturing systems: Work-psychological concepts and empirical findings. International Journal Of Industrial Ergonomics, 17.
. (1994). Digital economy and the models of income distribution in the society. Shs Web Of Conferences, 44, 00005. https://doi.org/10.1051/shsconf/20184400005
. (2018). Digital economy: backgrounds, main drivers and new challenges. Shs Web Of Conferences, 44, 00006. https://doi.org/10.1051/shsconf/20184400006
. (2018). Getting ready for a post-work future. Foresight And Sti Governance, 13(1), 19 - 30. https://doi.org/10.17323/2500-2597.2019.1.19.30
. (2019). How is new technology changing job design?. Iza World Of Labor. https://doi.org/10.15185/izawol.344
. (2017). 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). Managing talented worker in the era of new psychological contract. Jurnal Aplikasi Manajemen, 16(1), 20 - 26. https://doi.org/10.21776/ub.jam.2018.016.01.03
. (2018). The predictions on the future of labour are not grounded; some arguments for a bayesian approach. Postmodern Openings, 9(3), 36 - 63. https://doi.org/10.18662/po/35
. (2018). Towards a smart automated society: Cognitive technologies, knowledge production, and economic growth. Economics, Management, And Financial Markets, 14(1), 44. https://doi.org/10.22381/EMFM14120195
. (2019).