Papers
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. (2024). Framing and feelings on social media: The futures of work and intelligent machines. Information, Technology & People. https://doi.org/10.1108/ITP-01-2023-0049
frames to share.pdf (391.17 KB). (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
. (2020). Replaced by a Robot: Service Implications in the Age of the Machine. Journal Of Service Research. https://doi.org/10.1177/1094670520933354
. (2020). Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. 1–9. Retrieved de http://arxiv.org/abs/2004.07213
. (2019). Artificial intelligence and big data in entrepreneurship: a new era has begun. Small Business Economics. https://doi.org/10.1007/s11187-019-00202-4
. (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). Educating those most impacted by artificial intelligence (Vol. 11626, pp. 344 - 349; ). In (Vol. 11626, pp. 344 - 349). https://doi.org/10.1007/978-3-030-23207-8_63
. (2019). Emotional processes in human-robot interaction during brief cognitive testing. Computers In Human Behavior, 90, 331 - 342. https://doi.org/10.1016/j.chb.2018.08.013
. (2019). The future of health care: Protocol for measuring the potential of task automation grounded in the national health service primary care system. Jmir Research Protocols, 8(4), e11232. https://doi.org/10.2196/11232
. (2019). Inferring work task automatability from AI expert evidence (). 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
. (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
. (2019). The Rebirth of CAD: How Is Modern AI Different from the CAD We Know?. Radiology: Artificial Intelligence, 1(3), e180089. https://doi.org/10.1148/ryai.2019180089
. (2019). The rise of robots! Effects on employment and income. Öneri Dergisi, 1 - 17. https://doi.org/10.14783/maruoneri.vi.522005
. (2018). Machine Learning for Ecology and Sustainable Natural Resource ManagementUse of Machine Learning (ML) for Predicting and Analyzing Ecological and ‘Presence Only’ Data: An Overview of Applications and a Good Outlook (pp. 27 - 61; ). In (pp. 27 - 61). https://doi.org/10.1007/978-3-319-96978-7_2
. (2018). Machines as Teammates: A Collaboration Research Agenda. In Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2018.055
SeeberEtAl_2018_MachinesAsTeammates.pdf (949.98 KB). (2018). Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR). Systematic Reviews, 7(1). https://doi.org/10.1186/s13643-018-0740-7
. (2018). Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR). Systematic Reviews, (77). https://doi.org/10.1186/s13643-018-0740-7
. (2018). Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR). Systematic Reviews, 7(1). https://doi.org/10.1186/s13643-018-0740-7
. (2018). The role of technological progress and structural change in the labour market (pp. 15 - 41; ). In (pp. 15 - 41). https://doi.org/10.1007/978-3-319-90548-8_2
. (2017). The future of employment: How susceptible are jobs to computerisation?. Technological Forecasting And Social Change, 114, 254 - 280. https://doi.org/10.1016/j.techfore.2016.08.019
. (2017). Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science. Classical And Quantum Gravity, 34, 064003. https://doi.org/10.1088/1361-6382/aa5cea
. (2017). Service Robotics and Human Labor: A first technology assessment of substitution and cooperation. Robotics And Autonomous Systems, 87, 348 - 354. https://doi.org/10.1016/j.robot.2016.09.017
. (2017). The skeptic's guide to artificial intelligence artificial intelligence. Retrieved de CIO DIVE website: https://www.ciodive.com/news/the-skeptics-guide-to-artificial-intelligence/441674/