Papers
. (2001). Desperately seeking "IT" in IT research: A call to theorizing the IT artifact. Information Systems Researchinformation Systems Research, 12, 121–134.
. (2024). Deskilling and upskilling with generative AI systems. In Working paper.
GAI_and_skills.pdf (281.94 KB). (2019). Designing AI futures: A symbiotic vision (Vol. 1083, pp. 3 - 18; ). In (Vol. 1083, pp. 3 - 18). https://doi.org/10.1007/978-3-030-29743-5_1
. (1994). Design concepts of computer-aided integrated manufacturing systems: Work-psychological concepts and empirical findings. International Journal Of Industrial Ergonomics, 17.
. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542, 115–118.
. (2009). Deploying embodied AI into virtual worlds. Knowledge-Based Systems, 22(7), 540 - 544. https://doi.org/10.1016/j.knosys.2008.10.001
. (2016). Degree of Automation in Command and Control Decision Support Systems. In IEEE International Conference on Systems, Man and Cybernetics. Presented at the IEEE International Conference on Systems, Man and Cybernetics. Retrieved de https://ieeexplore.ieee.org/document/7844402
. (2018). DEFINITION, APPLICATION AND INFLUENCE OF ARTI FICIAL INTELLIGENCE ON DESIGN INDUSTRIES. Landscape Architecture Frontiers, 6(2), 56. https://doi.org/10.15302/J-LAF-20180207
. (2015). Deep Learning Tutorial. In Release 0.1. Retrieved de http://deeplearning.net/tutorial/deeplearning.pdf
. (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
. (2017). Deep learning for healthcare: review, opportunities and challenges. Briefings In Bioinformatics, 19(6), 1236 - 1246. https://doi.org/10.1093/bib/bbx044
. (2017). A deep learning approach for quantifying tumor extent. Scientific Reports, 7(1). https://doi.org/10.1038/srep46450
. (2015). Decision-making authority, team efficiency and human worker satisfaction in mixed human–robot teams. Autonomous Robots, 39(3), 293 - 312. https://doi.org/10.1007/s10514-015-9457-9
. (2017). Debating big data: A literature review on realizing value from big data. The Journal Of Strategic Information Systems, 26(3), 191 - 209. https://doi.org/10.1016/j.jsis.2017.07.003
. (2017). Datification, organizational strategy, and is research: What’s the score? . The Journal Of Strategic Information Systems, 26(3), 233 - 241. https://doi.org/10.1016/j.jsis.2017.08.003
. (2017). Data tracking in search of workflows (). In the 2017 ACM ConferenceProceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW '17 (2153 - 2165). https://doi.org/10.1145/2998181.2998296
. (2018). Data Science for Undergraduates. https://doi.org/10.17226/25104
. (2017). The cyberscientist. Science, 357(6346), 18 - 21. https://doi.org/10.1126/science.357.6346.18
. (2018). Cryptocurrency, Artificial Intelligence and basic income as innovative technological system. Path Of Science, 4(8), 2024 - 2030. https://doi.org/10.22178/pos10.22178/pos.37-6
. (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 approach to human helping in information systems: Heteromation in the Brazilian correspondent banking system. Information And Organization, 28(3), 111 - 128. https://doi.org/10.1016/j.infoandorg.2018.08.002
. (2020). Criminal justice, artificial intelligence systems, and human rights. Era Forum, 20, 567–583. https://doi.org/10.1007/s12027-020-00602-0
. (2018). Creativity, the arts, and the future of work (pp. 283 - 310; ). In (pp. 283 - 310). https://doi.org/10.1007/978-3-319-78580-6_9
. (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