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2024 Journal Article Exploring the impacts of automation in the mining industry: a systematic review using natural language processingCodoceo-Contreras, Loreto, Rybak, Nikodem and Hassall, Maureen (2024). Exploring the impacts of automation in the mining industry: a systematic review using natural language processing. Mining Technology: Transactions of the Institutions of Mining and Metallurgy, 133 (3), 191-213. doi: 10.1177/25726668241270486 |
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2024 Book Chapter Artificial Intelligence Applications for Workplace Safety : An In-Depth ExaminationRybak, Nikodem and Hassall, Maureen (2024). Artificial Intelligence Applications for Workplace Safety : An In-Depth Examination. Encyclopedia of Information Science and Technology. (pp. 1-19) Hershey, PA United States: IGI Global. doi: 10.4018/978-1-6684-7366-5.ch085 |
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2023 Book Chapter Machine learning-enhanced text mining as a support tool for research on climate change : theoretical and technical considerationsRybak, Nikodem and Hassall, Maureen (2023). Machine learning-enhanced text mining as a support tool for research on climate change : theoretical and technical considerations. 5G, artificial intelligence, and next generation internet of things. (pp. 86-122) edited by Patricia Ordóñez de Pablos and Xi Zhang. Hershey, PA, United States: IGI Global. doi: 10.4018/978-1-6684-8634-4.ch004 |
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2023 Other Outputs Bowdens Silver - Research Review and RecommendationsMicklethwaite, Steven, Cook, Nicholas and Rybak, Nikodem (2023). Bowdens Silver - Research Review and Recommendations. Brisbane, Queensland: The University of Queensland, Sustainable Minerals Institute. |
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2022 Journal Article What can machine learning teach us about Australian climate risk disclosures?Harker, Callan, Hassall, Maureen, Lant, Paul, Rybak, Nikodem and Dargusch, Paul (2022). What can machine learning teach us about Australian climate risk disclosures?. Sustainability, 14 (16) 10000, 10000. doi: 10.3390/su141610000 |
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2022 Book Chapter Machine learning enhanced decision-making: applications of Industry 4.0Rybak, Nikodem and Hassall, Maureen (2022). Machine learning enhanced decision-making: applications of Industry 4.0. Handbook of smart materials, technologies, and devices. (pp. 477-517) edited by Chaudhery Mustansar Hussain and Paolo Di Sia. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-84205-5_20 |
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2021 Conference Publication Deep learning unsupervised text-based detection of anomalies in U.S. Chemical Safety and Hazard Investigation Board reportsRybak, Nikodem and Hassall, Maureen (2021). Deep learning unsupervised text-based detection of anomalies in U.S. Chemical Safety and Hazard Investigation Board reports. International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Mauritius, Mauritius, 7-8 October 2021. Piscataway, NJ United States: IEEE. doi: 10.1109/iceccme52200.2021.9590834 |
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2021 Journal Article Tracking conflict and emotions with a computational qualitative discourse analytic support approachRybak, Nikodem and Angus, Daniel J. (2021). Tracking conflict and emotions with a computational qualitative discourse analytic support approach. PLoS ONE, 16 (5 May) e0251186, 1-29. doi: 10.1371/journal.pone.0251186 |
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2020 Other Outputs Technical considerations for the application of deep learning methods for multimodal emotion recognitionRybak, Nikodem (2020). Technical considerations for the application of deep learning methods for multimodal emotion recognition. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. doi: 10.14264/bf3427d |
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2017 Conference Publication New real-time methods for operator situational awareness retrieval and higher process safety in the control roomRybak, Nikodem, Hassall, Maureen, Parsa, Kourosh and Angus, Daniel J. (2017). New real-time methods for operator situational awareness retrieval and higher process safety in the control room. 3rd Annual IEEE International Symposium on Systems Engineering, ISSE 2017, Vienna, Austria, October 11-13, 2017. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/SysEng.2017.8088300 |
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2016 Conference Publication Social cardboard: pretotyping a social ethnodroid in the wildWiles, Janet, Worthy, Peter, Hensby, Kristyn, Boden, Marie, Heath, Scott, Pounds, Paul, Rybak, Nikodem, Smith, Michael, Taufotofua, Jonathon and Weigel, Jason (2016). Social cardboard: pretotyping a social ethnodroid in the wild. 11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016, Christchurch, New Zealand, 7-10 March 2016. Piscataway, NJ, United States: IEEE. doi: 10.1109/HRI.2016.7451841 |
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2016 Conference Publication Hand in hand: tools and techniques for understanding children's touch with a social robotHensby, Kristyn, Wiles, Janet, Boden, Marie, Heath, Scott, Nielsen, Mark, Pounds, Paul, Riddell, Joshua, Rogers, Kristopher, Rybak, Nikodem, Slaughter, Virginia, Smith, Michael, Taufatofua, Jonathon, Worthy, Peter and Weigel, Jason (2016). Hand in hand: tools and techniques for understanding children's touch with a social robot. 11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016, Christchurch, New Zealand, 7-10 March 2016. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/HRI.2016.7451794 |
