Items where Subject is "46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460299 Artificial intelligence not elsewhere classified"

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Number of items at this level: 11.

Article

Baker, Stephanie, and Kandasamy, Yogavijayan (2022) Machine learning for understanding and predicting neurodevelopmental outcomes in premature infants: a systematic review. Pediatric Research. (In Press)

Ma, Wanlun, Hu, Xiangyu, Chen, Chao, Wen, Sheng, Choo, Kim-Kwang Raymond, and Xiang, Yang (2022) Social media event prediction using DNN with feedback mechanism. ACM Transactions on Management Information Systems, 13 (3). 33.

Baker, Stephanie, Xiang, Wei, and Atkinson, Ian (2022) A computationally efficient CNN-LSTM neural network for estimation of blood pressure from features of electrocardiogram and photoplethysmogram waveforms. Knowledge Based Systems. (In Press)

Hussain, Emtiaz, Hasan, Mahmudul, Rahman, Md Anisur, Lee, Ickjai, Tamanna, Tasmi, and Parvez, Mohammed Zavid (2021) CoroDet: a deep learning based classification for COVID-19 detection using chest X-ray images. Chaos Solitons and Fractals, 142. 110495.

Miao, Yuantian, Chen, Chao, Pan, Lei, Han, Qing-Long, Zhang, Jun, and Xiang, Yang (2021) Machine learning–based cyber attacks targeting on controlled information: a survey. ACM Computing Surveys, 54 (7). 139. pp. 1-36.

Li, Joan Y.Q., Duce, Stephanie, Joyce, Karen E., and Xiang, Wei (2021) SeeCucumbers: using deep learning and drone iagery to detect sea cucumbers on coral reef flats. Drones, 5 (2). 28.

Konovalov, Dmitry A., Hillcoat, Suzanne, Williams, Genevieve, Birtles, R. Alastair, Gardiner, Naomi, and Curnock, Matthew I. (2018) Individual minke whale recognition using deep learning convolutional neural networks. Journal of Geoscience and Environment Protection, 6 (5). 84616. pp. 25-36.

Conference Item

Wang, Hao, Ahn, Euijoon, and Kim, Jinman (2022) Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss. In: Proceedings of the 36th AAAI Conference on Artificial Intelligence (36) From: AAAI-22: 36th AAAI Conference on Artificial Intelligence, 22 February - 1 March 2022, Virtual.

Konovalov, Dmitry A., Swinhoe, Natalie, Efremova, Dina B., Birtles, R. Alastair, Kusetic, Martha, Adams, Kent, Hillcoat, Suzanne, Curnock, Matthew I., Williams, Genevieve, Sobtzick, Susan, and Sheaves, Marcus (2020) Minke whale detection in underwater imagery using classification CNNs. In: Proceedings of Global Oceans 2020. From: Global Oceans 2020: Singapore – U.S. Gulf Coast, 5-30 October 2020, Biloxi, MS, USA.

Darwen, Paul J. (2017) Bayesian model averaging for streamflow prediction of intermittent rivers. In: Lecture Notes in Artificial Intelligence (10351) pp. 227-236. From: IEA/AIE 2017: 30th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 27-30 June 2017, Arras, France.

Ahn, Euijoon, Kumar, Ashnil, Kim, Jinman, Li, Changyang, Feng, Dagan, and Fulham, Michael (2016) X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid. In: Proceedings of the 13th International Symposium on Biomedical Imaging. pp. 855-858. From: ISBI 2016: 13th International Symposium on Biomedical Imaging, 13-16 April 20216, Prague, Czech Republic.

This list was generated on Sat Sep 24 23:00:11 2022 AEST.