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: 35.


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.


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.

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.

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.

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.

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.


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


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.


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.

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.

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.


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, 78 (9). pp. 687-696.


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.

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.

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.


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).

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.

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.


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.

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.

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.

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.


Napier, Thomas, Ahn, Euijoon, Allen-Ankins, Slade, Schwarzkopf, Lin, and Lee, Ickjai (2024) Advancements in preprocessing, detection and classification techniques for ecoacoustic data: A comprehensive review for large-scale passive acoustic monitoring. Expert Systems with Applications, 252 (Part B). 124220.

Noor, Nurhafihz, and Sim, Karen S. (2024) Impact of AI on the Flower of Service Model in the Hospitality Industry. In: Correia, Ricardo, Martins, Márcio, and Fontes, Ruta, (eds.) AI Innovations for Travel and Tourism. IGI Global, Hershey, PA, USA, pp. 58-81.

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.

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.


Saha, Anindo, Bosma, Joeran S, Twilt, Jasper J, van Ginneken, Bram, Bjartell, Anders, Padhani, Anwar R, Bonekamp, David, Villeirs, Geert, Salomon, Georg, Giannarini, Gianluca, Kalpathy-Cramer, Jayashree, Barentsz, Jelle, Maier-Hein, Klaus H, Rusu, Mirabela, Rouvière, Olivier, van den Bergh, Roderick, Panebianco, Valeria, Kasivisvanathan, Veeru, Obuchowski, Nancy A, Yakar, Derya, Elschot, Mattijs, Veltman, Jeroen, Fütterer, Jurgen J, de Rooij, Maarten, Huisman, Henkjan, and PI-CAI consortium, (2024) Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study. Lancet Oncology. (In Press)

Scutella, Maryanne, Plewa, Carolin, and Reaiche, Carmen (2024) Small businesses and e-government participation: the role of personalisation preference and intermediaries. Internet Research, 34 (3). pp. 917-938.


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.


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.

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.

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.


Zhou, Yusheng, Kong, Zhengmin, Huang, Tao, Ahn, Euijoon, Li, Hao, and Ding, Li (2024) WaveletDFDS-Net: A Dual Forward Denoising Stream Network for Low-Dose CT Noise Reduction. Electronics, 13. 1906.

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.

This list was generated on Thu Jul 18 22:43:07 2024 AEST.