Article

Baker, Stephanie, and Xiang, Wei (2023) Artificial Intelligence of Things for Smarter Healthcare: A Survey of Advancements, Challenges, and Opportunities. IEEE Communications Surveys & Tutorials, 25 (2). pp. 1261-1293.

Lyu, Shiyang, Adegboye, Oyelola, Adhinugraha, Kiki, Emeto, Theophilus I., and Taniar, David (2023) COVID-19 Prevention Strategies for Victoria Students within Educational Facilities: An AI-Based Modelling Study. Healthcare, 11 (6).

Baker, Stephanie, and Kandasamy, Yogavijayan (2023) Machine learning for understanding and predicting neurodevelopmental outcomes in premature infants: a systematic review. Pediatric Research, 93. pp. 293-299.

Warren-Rhodes, Kimberley, Cabrol, Nathalie A., Phillips, Michael, Tebes-Cayo, Cinthya, Kalaitzis, Freddie, Ayma, Diego, Demergasso, Cecilia, Chong-Diaz, Guillermo, Lee, Kevin, Hinman, Nancy, Rhodes, Kevin L., Boyle, Linda Ng, Bishop, Janice L., Hofmann, Michael H., Hutchinson, Neil, Javiera, Camila, Moersch, Jeffrey, Mondro, Claire, Nofke, Nora, Parro, Victor, Rodriguez, Connie, Sobron, Pablo, Sarazzain, Philippe, Wettergreen, David, Zacny, Kris, and the SETI Institute NAI Team, (2023) Orbit-to-ground framework to decode and predict biosignature patterns in terrestrial analogues. Nature Astronomy, 7. pp. 406-422.

Jiang, C., Yuan, Y., Gu, B., Ahn, E., Kim, J., Feng, D., Huang, Q., and Song, S. (2023) Preoperative prediction of microvascular invasion and perineural invasion in pancreatic ductal adenocarcinoma with 18F-FDG PET/CT radiomics analysis. Clinical Radiology. (In Press)

Wang, Wei-Chien, Ahn, Euijoon, Feng, Dagan, and Kim, Jinman (2023) A Review of Predictive and Contrastive Self-supervised Learning for Medical Images. Machine Intelligence Research, 20 (4). pp. 483-512.

Bauer, Irmgard L. (2023) Robots in travel clinics: Building on tourism's use of technology and robots for infection control during a pandemic. Tropical Diseases, Travel Medicine and Vaccines, 9. 10.

Scutella, Maryanne, Plewa, Carolin, and Reaiche, Carmen (2023) Small businesses and e-government participation: the role of personalisation preference and intermediaries. Internet Research. (In Press)

Baker, Stephanie, Yogavijayan, Thiviya, and Kandasamy, Yogavijayan (2023) Towards Non-Invasive and Continuous Blood Pressure Monitoring in Neonatal Intensive Care Using Artificial Intelligence: A Narrative Review. Healthcare, 11 (24). 3107.

Napier, Thomas, and Lee, Ickjai (2023) Using mobile-based augmented reality and object detection for real-time Abalone growth monitoring. Computers and Electronics in Agriculture, 207. 107744.

Kophamel, Sara, Ward, Leigh C., Konovalov, Dmitry A., Mendez, Diana, Ariel, Ellen, Cassidy, Nathan, Bell, Ian, Balastegui Martínez, María T., and Munns, Suzanne L. (2022) Field‐based adipose tissue quantification in sea turtles using bioelectrical impedance spectroscopy validated with CT scans and deep learning. Ecology and Evolution, 12.

Ng, Ben, Nayyar, Sachin, and Chauhan, Vijay S. (2022) The Role of Artificial Intelligence and Machine Learning in Clinical Cardiac Electrophysiology. Canadian Journal of Cardiology, 38 (2). pp. 246-258.

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.

Chaturvedi, Iti, Noel, Tim, and Satapathy, Ranjan (2022) Speech Emotion Recognition Using Audio Matching. Electronics, 11 (23). 3943.

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, 250. 109151.

Mareta, Sannia, Thenara, Joseph Manuel, Rivero, Rafael, and Tan-Mullins, May (2022) A study of the virtual reality cybersickness impacts and improvement strategy towards the overall undergraduate students’ virtual learning experience. Interactive Technology and Smart Education, 19 (4). pp. 460-481.

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.

Book Chapter

Talkhani, Raiyan, Huang, Tao, Gu, Shushi, Guo, Zhaoxia, Zhang, Guanglin, and Xiang, Wei (2023) Deep learning for vehicle safety. In: Hu, Fei, and Rasheed, Iftikhar, (eds.) Deep Learning and Its Applications for Vehicle Networks. CRC Press, Boca Raton, FL, USA, pp. 3-16.

Conference Item

Hamilton, John R., and Maxwell, Stephen J. (2023) Artificial Intelligence (AI), Rio Tinto and Firm Leading-Edge AI Competitiveness. In: Proceedings of the 23rd International Conference on Electronic Business (23) pp. 36-44. From: ICEB 2023: 23rd International Conference on Electronic Business, 19-23 October 2023, Chiayi, Taiwan.

Marino, S. (2023) Delivering Smart Warehousing in Australia. In: Proceedings of the 23rd International Conference on Electronic Business (23) pp. 131-138. From: ICEB 2023: 23rd International Conference on Electronic Business, 19-23 October 2023, Chiayi, Taiwan.

Liu, Dora D., Hu, Liang, Zhang, Qi, Ye, Tangwei, Naseem, Usman, and Lai, Zhong Yuan (2023) A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept. In: Proceedings of the 37th AAAI Conference on Articicial Intelligence (37) pp. 12049-12057. From: 37th AAAI Conference on Artificial Intelligence, 7-14 February 2023, Washington, DC, USA.

Zhou, Shijia, Ahn, Euijoon, Wang, Hao, Quinton, Ann, Kennedy, Narelle, Sridar, Pradeeba, Nanan, Ralph, and Kim, Jinman (2023) Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function. In: Lecture Notes in Computer Science (14226) pp. 283-292. From: MICCAI 2023: 26th International Conference on Medical Image Computing and Computer Assisted Intervention, 8-12 October 2023, Vancouver, Canada.

Hu, Liang, Liu, Dora D., Zhang, Qi, Naseem, Usman, and Lai, Zhong Yuan (2023) Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions. In: Proceedings of the AAAI Conference on Artificial Intelligence (37) pp. 844-853. From: AAAI-23: 37th AAAI Conference on Artificial Intelligence, 7-14 February 2023.

Hamilton, John R., Maxwell, Stephen J., and Lynch, Ronald P. (2023) Towards Delivering AI & Smarter, Self-Learning, Autonomous, Humanoid Robots. In: Proceedings of the 23rd International Conference on Electronic Business (23) pp. 667-674. From: ICEB 2023: 23rd International Conference on Electronic Business, 19-23 October 2023, Chiayi, Taiwan.

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.