Items where Subject is "46 INFORMATION AND COMPUTING SCIENCES > 4611 Machine learning > 461199 Machine learning not elsewhere classified"

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Number of items at this level: 16.

A

Arushi, , Dillon, Roberto, and Teoh, Ai Ni (2021) Real-time stress detection model and voice analysis: an integrated VR based game for training public speaking skills. In: Proceedings of the 3rd IEEE Conference on Games. From: 3rd IEEE Conference on Games, 17-20 August 2021, Copenhagen, Denmark.

D

Darwen, Paul J. (2019) Bayesian model averaging for river flow prediction. Applied Intelligence, 49. pp. 103-111.

Darwen, Paul J. (2019) Cost-effective prediction in medicine and marketing: only the difference between Bayesian model averaging and the single best-fit model. In: Proceedings of the IEEE 31st International Conference on Tools for Artificial Intelligence. pp. 1274-1279. From: ICTAI 2019: IEEE 31st International Conference on Tools for Artificial Intelligence, 4-6 November 2019, Portland, OR, USA.

Du, Yang, Yan, Ke, Ren, Zixiao, and Xiao, Weidong (2018) Designing localized MPPT for PV systems using fuzzy-weighted extreme learning machine. Energies, 11 (10). 2615.

I

Igoe, Damien P., Parisi, Alfio, and Downs, Nathan J. (2019) Cloud segmentation property extraction from total sky image repositories using Python. Instrumentation Science and Technology, 47 (5). pp. 522-534.

K

Konovalov, Dmitry A., Jahangard, Simindokht, and Schwarzkopf, Lin (2018) In situ cane toad recognition. In: Proceedings of the International Conference on Digital Image Computing. From: DICTA 2018: Digital Image Computing: techniques and applications, 10-13 December 2018, Canberra, ACT, Australia.

M

Mustafa, Akram, and Rahimi Azghadi, Mostafa (2021) Automated machine learning for healthcare and clinical notes analysis. Computers, 10 (2). 24.

R

Roelfsema, Chris M., Lyons, Mitchell, Murray, Nicholas, Kovacs, Eva M., Kennedy, Emma, Markey, Kathryn, Borrego-Acevedo, Rodney, Ordoñez Alvarez, Alexandra, Say, Chantel, Tudman, Paul, Roe, Meredith, Wolff, Jeremy, Traganos, Dimosthenis, Asner, Gregory P., Bambic, Brianna, Free, Brian, Fox, Helen E., Lieb, Zoe, and Phinn, Stuart R. (2021) Workflow for the generation of expert-derived training and validation data: a view to global scale habitat mapping. Frontiers in Marine Science, 8. 643381.

S

Saleh, Alzayat (2020) Developing deep learning methods for aquaculture applications. Masters (Research) thesis, James Cook University.

Saleh, Alzayat, Laradji, Issam H., Konovalov, Dmitry A., Bradley, Michael, Vazquez, David, and Sheaves, Marcus (2020) A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis. Scientific Reports, 10. 14671.

Sankupellay, Mangalam, and Konovalov, Dmitry (2018) Bird call recognition using deep convolutional neural network, ResNet-50. In: Proceedings of the Australian Acoustical Society Conference. 134. From: AAS2018: Acoustics 2018: hear to listen, 6-9 November 2018, Adelaide, SA, Australia.

Suwanwiwat, Hemmaphan, Das, Abhijit, Ferrer, Miguel, Pal, Umapada, and Blumenstein, Michael (2017) An automatic student verification system utilising off-line Thai name components. In: Proceedings of the International Conference on Digital Image Computing. pp. 826-831. From: DICTA 2017: International Conference on Digital Image Computing: Techniques and Applications, 29 November - 1 December 2017, Sydney, NSW, Australia.

Suwanwiwat, Hemmaphan, Pal, Umpanda, and Blumenstein, Michael (2016) An automatic off-line short answer assessment system using novel hybrid features. In: Proceedings of the International Conference on Digital Image Computing: Techniques and Applications. pp. 757-764. From: DICTA 2016: International Conference on Digital Image Computing: Techniques and Applications, 30 November - 2 December 2016, Gold Coast, QLD, Australia.

T

Tan, Yue, Zheng, Kan, and Lei, Lei (2019) An in-vehicle keyword spotting system with multi-source fusion for vehicle applications. In: Proceedings of the IEEE Wireless Communications and Networking Conference. 8885980. From: WCNC 2019: IEEE Wireless Communications and Networking Conference, 15-18 April 2019, Marrakesh, Morocco.

X

Xie, Jie, Towsey, Michael, Zhang, Liang, Yasumiba, Kiyomi, Schwarzkopf, Lin, Zhang, Jinlang, and Roe, Paul (2016) Multiple-instance multiple-label learning for the classification of frog calls with acoustic event detection. Lecture Notes in Computer Science, 9680. pp. 220-230.

Y

Yan, Ke, Du, Yang, and Ren, Zixiao (2019) MPPT perturbation optimization of photovoltaic power systems based on solar irradiance data classification. IEEE Transactions on Sustainable Energy, 10 (2). pp. 514-521.

This list was generated on Fri Dec 3 22:52:41 2021 AEST.