Items where Subject is "46 INFORMATION AND COMPUTING SCIENCES > 4611 Machine learning > 461104 Neural networks"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0 [feed] RSS 2.0
Group by: Creators | Item Type
Jump to: B | C | E | G | J | K | R | U | W | X | Y | Z
Number of items at this level: 27.


Baker, Stephanie, Huang, Zhi, and Philippa, Bronson (2023) Lightweight Neural Network For Spatiotemporal Filling of Data Gaps in Sea Surface Temperature Images. IEEE Transactions on Geoscience and Remote Sensing, 61. 4204310.

Baker, Stephanie, Xiang, Wei, and Atkinson, Ian (2021) Determining respiratory rate from photoplethysmogram and electrocardiogram signals using respiratory quality indices and neural networks. PLoS ONE, 16 (4). e0249843.

Baker, Stephanie (2021) Development of machine learning schemes for use in non-invasive and continuous patient health monitoring. PhD thesis, James Cook University.


Cai, Zhengyu, Kalatehbali, Hamid Rahimian, Walters, Ben, Rahimi Azghadi, Mostafa, Amirsoleimani, Amirali, and Genov, Roman (2023) Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 13 (4). pp. 1083-1093.

Chaturvedi, Iti, Ragusa, Edoardo, Gastaldo, Paolo, Zunino, Rodolfo, and Cambria, Erik (2018) Bayesian network based extreme learning machine for subjectivity detection. Journal of The Franklin Institute, 355 (4). pp. 1780-1797.


Eshraghian, Jason K., Lammie, Corey, Azghadi, Mostafa Rahimi, and Lu, Wei D. (2022) Navigating Local Minima in Quantized Spiking Neural Networks. In: Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems. pp. 352-355. From: AICAS 2022: IEEE International Conference on Artificial Intelligence Circuits and Systems, 13-15 June 2022, Incheon, Republic of Korea.

EMCR Brain Sciences Network Working Group, (2022) Riding on the Brain's back: Building a strong brain science research community. AQ-Australian Quarterly, 93 (2). pp. 24-30.

Efremova, Dina B., Sankupellay, Mangalam, and Konovalov, Dmitry A. (2019) Data-efficient classification of birdcall through Convolutional Neural Networks transfer learning. In: Proceedings of the International Conference on Digital Image Computing. pp. 294-301. From: DICTA 2019: International Conference on Digital Image Computing: Techniques and Applications, 2-4 December 2019, Perth, WA, Australia.


Goldfinch, Felise, Chang, Nigel, and Hardy, Dianna (2023) Ex Machina: Machine Learning, ceramics & rock art in the Khorat Plateau, Thailand. SPAFA Journal. (In Press)

Garcia, J.A., Waszek, L., Tauzin, B., and Schmerr, N. (2021) Automatic identification of mantle seismic phases using a Convolutional Neural Network. Geophysical Research Letters, 48 (18). e2020GL091658.


Jooq, Mohammad Khaleqi Qaleh, Rahimi Azghadi, Mostafa, Behbahani, Fereshteh, Al-Shidaifat, Alaaddin, and Song, Hanjung (2023) High-Performance and Energy-Efficient Leaky Integrate-and-Fire Neuron and Spike Timing-Dependent Plasticity Circuits in 7nm FinFET Technology. IEEE Access, 11. pp. 133451-133459.

Jahanbakht, Mohammad, Xiang, Wei, and Azghadi, Mostafa Rahimi (2022) Sediment Prediction in the Great Barrier Reef using Vision Transformer with finite element analysis. Neural Networks, 152. pp. 311-321.

Jackson, Price, Korte, James, McIntosh, Lachlan, Kron, Tomas, Ellul, Jason, Li, Jason, and Hardcastle, Nicholas (2021) CT slice alignment to whole-body reference geometry by convolutional neural network. Physical and Engineering Sciences in Medicine, 44 (4). pp. 1213-1219.


Kandasamy, Yogavijayan, and Baker, Stephanie (2023) An Exploratory Review on the Potential of Artificial Intelligence for Early Detection of Acute Kidney Injury in Preterm Neonates. Diagnostics, 13 (18). 2865.

Kasthuriarachchy, Buddhika, Chetty, Madhu, Shatte, Adrian, and Walls, Darren (2023) Meaning-Sensitive Text Data Augmentation with Intelligent Masking. ACM Transactions on Intelligent Systems and Technology, 14 (6). 104.

Khan, Saud, Khan, Komal S., and Shin, Soo Young (2019) Symbol denoising in high order M-QAM using residual learning of deep CNN. In: Proceedings of the 16th IEEE Annual Consumer Communications & Networking Conference. 8651830. From: CCNC 2019: 16th IEEE Annual Consumer Communications & Networking Conference, 11-14 January 2019, Las Vegas, NV, USA.


Rahimiazghadi, Mostafa, Linares-Barranco, Bernabe, Abbott, Derek, and Leong, Philip (2017) A hybrid CMOS-memristor neuromorphic synapse. IEEE Transactions on Biomedical Circuits and Systems, 11 (2). pp. 434-444.


Uddamvathanak, Rom, Feng, Yang, Xulei, Yang, Das, Ankit Kumar, Shen, Yan, Salahuddin, Mohamed, Hussain, Shaista, and Chawla, Shailey (2018) Two-stage ensemble of Deep Convolutional Neural Networks for object recognition. In: Proceedings of the IEEE International Conference on Intelligent Rail Transportation. From: ICIRT 2018: IEEE International Conference on Intelligent Rail Transportation, 12-14 December 2018, Singapore.


Walters, Ben, Lammie, Corey, Yang, Shuangming, Jacob, Mohan V., and Rahimi Azghadi, Mostafa (2024) Unsupervised character recognition with graphene memristive synapses. Neural Computing and Applications, 36. pp. 1569-1584.

Walters, B., Lammie, C., Eshraghian, J., Yakopcic, C., Taha, T., Genov, R., Jacob, M.V., Amirsoleimani, A., and Rahimi Azghadi, M. (2023) Memristive Devices for Neuromorphic and Deep Learning Applications. In: Zho, Ye, (ed.) Advanced Memory Technology: Functional Materials and Devices. Optical, Electronic and Magnetic Materials . Royal Society of Chemistry, London, United Kingdom, pp. 680-704.

Walters, Ben, Jacob, Mohan V., Amirsoleimani, Amirali, and Rahimi Azghadi, Mostafa (2023) A Review of Graphene-Based Memristive Neuromorphic Devices and Circuits. Advanced Intelligent Systems, 5 (10). 2300136.


Xiong, Weiyi, Liu, Jianan, Xia, Yuxuan, Huang, Tao, Zhu, Bing, and Xiang, Wei (2022) Contrastive Learning for Automotive mmWave Radar Detection Points Based Instance Segmentation. In: Proceedings of the IEEE 25th International Conference on Intelligent Transportation Systems. pp. 1255-1261. From: ITSC 2022: IEEE 25th International Conference on Intelligent Transportation Systems, Macau, China, 8-12 October 2022.

Xiang, Wei, Huang, Tao, and Wan, Wanggen (2019) Machine learning based optimization for vehicle-to-infrastructure communications. Future Generation Computer Systems, 94. pp. 488-495.


Yang, Shuangming, Wang, Jiang, Zhang, Nan, Deng, Bin, Pang, Yanwei, and Rahimi Azghadi, Mostafa (2022) CerebelluMorphic: large-scale neuromorphic model and architecture for supervised motor learning. IEEE Transactions on Neural Networks and Learning Systems, 33 (9). pp. 4398-4412.

Yang, Shuangming, Wang, Jiang, Deng, Bin, Rahimi Azghadi, Mostafa, and Linares-Barranco, Bernabe (2022) Neuromorphic context-dependent learning framework with fault-tolerant spike routing. IEEE Transactions on Neural Networks and Learning Systems, 33 (12). pp. 7126-7140.

Yang, Shuangming, Gao, Tian, Wang, Jiang, Deng, Bin, Rahimiazghadi, Mostafa, Lei, Tao, and Linares-Barranco, Bernabe (2022) SAM: a unified self-adaptive multicompartmental spiking neuron model for learning with working memory. Frontiers in Neuroscience, 16. 850945.


Zhou, Xi, Xiang, Wei, and Huang, Tao (2023) A novel neural network for improved in-hospital mortality prediction with irregular and incomplete multivariate data. Neural Networks. (In Press)

This list was generated on Tue Feb 20 22:43:22 2024 AEST.