Papers
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. (2017). Artificial intelligence in research. Science, 357(6346), 28 - 30. https://doi.org/10.1126/science.357.6346.28
. (2018). Artificial intelligence in the computer-age threatens human beings and working conditions at workplaces. Electronics Science Technology And Application, 5(3). https://doi.org/10.18686/esta.v5i3.76
. (2019). Artificial intelligence in workplaces and how it will affect employment in Latvia. Environment. Technology. Resources. Proceedings Of The International Scientific And Practical Conference, 2, 154. https://doi.org/10.17770/etr2019vol2.4151
. (2018). Artificial intelligence, machine learning and health systems. Journal Of Global Health, 8(2). https://doi.org/10.7189/jogh.08.020303
. (2017). Assessing drivers' response during automated driver support system failures with non-driving tasks. Journal Of Safety Research, 61, 149 - 155. https://doi.org/10.1016/j.jsr.2017.02.009
. (2007). Automation-induced complacency for monitoring highly reliable systems: the role of task complexity, system experience, and operator trust. Theoretical Issues In Ergonomics Science, 8(4), 321 - 348. https://doi.org/10.1080/14639220500535301
. (2018). Autonomous tools and design: a triple-loop approach to human-machine learning. Communications Of The Acm, 62, 50–57.
. (2018). Autonomous Tools in System Design: Reflective Practice in Ubisofts Ghost Recon Wildlands Project. Computer, 51, 16–23.
. (2020). The benefits of eHRM and AI for talent acquisition. Journal Of Tourism Futures. https://doi.org/10.1108/JTF-02-2020-0013
. (2017). Big data and organizational design – the brave new world of algorithmic management and computer augmented transparency. Innovation, 19(1), 23 - 30. https://doi.org/10.1080/14479338.2016.1252043
. (2019). Blame the boss, not the robot. New Labor Forum, 28(2), 66 - 69. https://doi.org/10.1177/1095796019837947
. (2019). Bots Coordinating Work in Open Source Software Projects. Computer, 52(9), 52 - 60. https://doi.org/10.1109/MC.2018.2885970
. (2020). A Cautionary Tale for Machine Learning Design: why we Still Need Human-Assisted Big Data Analysis. Mobile Networks And Applications, 25, 1075–1083. https://doi.org/10.1007/s11036-020-01530-6
. (2018). Chat bots are the new HR managers. Strategic Hr Review, 17(3), 162 - 163. https://doi.org/10.1108/SHR-03-2018-0024
. (2016). Citizen science on a smartphone: Participants’ motivations and learning. Public Understanding Of Science, 25(1), 45 - 60. https://doi.org/10.1177/0963662515602406
. (2018). Cognitive and technological aspects of e-learning in context of robotization. Cognitive Science – New Media – Education, 3(2), 65. https://doi.org/10.12775/CSNME.2017.013
. (2018). Cognitive and technological aspects of e-learning in context of robotization. Cognitive Science – New Media – Education, 3(2), 65. https://doi.org/10.12775/CSNME.2017.013
. (2019). 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). 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). 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
. (2013). The convergence of engineering and the life sciences. National Academy Of Engineering, 43(3). Retrieved de https://www.nae.edu/88364/The-Convergence-of-Engineering-and-the-Life-Sciences
. (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