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Dr

Nikodem Rybak

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Overview

Availability

Dr Nikodem Rybak is:
Available for supervision

Qualifications

  • Doctor of Philosophy, The University of Queensland

Works

Search Professor Nikodem Rybak’s works on UQ eSpace

12 works between 2016 and 2024

1 - 12 of 12 works

2024

Journal Article

Exploring the impacts of automation in the mining industry: a systematic review using natural language processing

Codoceo-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. doi: 10.1177/25726668241270486

Exploring the impacts of automation in the mining industry: a systematic review using natural language processing

2024

Book Chapter

Artificial Intelligence Applications for Workplace Safety : An In-Depth Examination

Rybak, Nikodem and Hassall, Maureen (2024). Artificial Intelligence Applications for Workplace Safety : An In-Depth Examination. Advances in Information Quality and Management. (pp. 1-19) IGI Global. doi: 10.4018/978-1-6684-7366-5.ch085

Artificial Intelligence Applications for Workplace Safety : An In-Depth Examination

2023

Book Chapter

Machine learning-enhanced text mining as a support tool for research on climate change : theoretical and technical considerations

Rybak, 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

Machine learning-enhanced text mining as a support tool for research on climate change : theoretical and technical considerations

2023

Other Outputs

Bowdens Silver - Research Review and Recommendations

Micklethwaite, Steven, Cook, Nicholas and Rybak, Nikodem (2023). Bowdens Silver - Research Review and Recommendations. Brisbane, Queensland: The University of Queensland, Sustainable Minerals Institute.

Bowdens Silver - Research Review and Recommendations

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

What can machine learning teach us about Australian climate risk disclosures?

2022

Book Chapter

Machine learning enhanced decision-making: applications of Industry 4.0

Rybak, 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

Machine learning enhanced decision-making: applications of Industry 4.0

2021

Conference Publication

Deep learning unsupervised text-based detection of anomalies in U.S. Chemical Safety and Hazard Investigation Board reports

Rybak, 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

Deep learning unsupervised text-based detection of anomalies in U.S. Chemical Safety and Hazard Investigation Board reports

2021

Journal Article

Tracking conflict and emotions with a computational qualitative discourse analytic support approach

Rybak, 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

Tracking conflict and emotions with a computational qualitative discourse analytic support approach

2020

Other Outputs

Technical considerations for the application of deep learning methods for multimodal emotion recognition

Rybak, 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

Technical considerations for the application of deep learning methods for multimodal emotion recognition

2017

Conference Publication

New real-time methods for operator situational awareness retrieval and higher process safety in the control room

Rybak, 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

New real-time methods for operator situational awareness retrieval and higher process safety in the control room

2016

Conference Publication

Social cardboard: pretotyping a social ethnodroid in the wild

Wiles, 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

Social cardboard: pretotyping a social ethnodroid in the wild

2016

Conference Publication

Hand in hand: tools and techniques for understanding children's touch with a social robot

Hensby, 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

Hand in hand: tools and techniques for understanding children's touch with a social robot

Supervision

Availability

Dr Nikodem Rybak is:
Available for supervision

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Media

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