Research Publications for Michael J Cree

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Publications ByCREE, Michael J

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  • Mozhaeva, A. I., Vlasuyk, I. V., Potashnikov, A. M., Cree, M. J., & Streeter, L. (2021). The Method and Devices for Research the Parameters of the Human Visual System to Video Quality Assessment. In 2021 Systems of Signals Generating and Processing in the Field of on Board Communications, Conference Proceedings. doi:10.1109/IEEECONF51389.2021.9416081

  • Gouk, H., Frank, E., Pfahringer, B., & Cree, M. J. (2021). Regularisation of neural networks by enforcing Lipschitz continuity. Machine Learning, 110, 393-416. doi:10.1007/s10994-020-05929-w

  • Ali, M., McGrath, N., Shi, S., Cree, M. J., Cheang, U. K., & Chen, Y. (2020). Bio-inspired self-regulated in-vivo computation for smart cancer detection. In Proceedings of the IEEE Conference on Nanotechnology Vol. 2020-July (pp. 304-309). doi:10.1109/NANO47656.2020.9183570

  • Ali, M., Sharifi, N., McGrath, N., Cree, M. J., & Chen, Y. (2020). Self-Regulated and Co-ordinated Smart Tumor Homing for Complex Vascular Networks. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol. 2020-July (pp. 378-381). doi:10.1109/EMBC44109.2020.9176014

  • Cree, M., Huang, F., Yuan, J., & Yan, W. Q. (2020). Pattern Recognition, ACPR 2019 Workshops (Vol. 1180 CCIS). Singapore: Springer.

  • Gong, Z., Chen, Y., Shi, S., Lin, X., Cree, M. J., & Sharifi, N. (2019). System model for tracking in vivo nanoswimmers using Kalman filter for nanobiomedicine. In IEEE International Conference on Nano/Molecular Medicine and Engineering Vol. 2020-November (pp. 124-127). doi:10.1109/NANOMED49242.2019.9130610

  • Gong, Z., Chen, Y., Shi, S., Lin, X., Cree, M. J., & Sharifi, N. (2019). System Model for Tracking In Vivo Nanoswimmers Using Kalman Filter for Nanobiomedicine. In ‎2019 13TH IEEE international conference on nano/molecular medicine & engineering ‎ (pp. 95). Gwangju, SOUTH KOREA: IEEE. Retrieved from

  • Perrone, J., & Cree, M. (2019). Extracting self-motion and 3-D depth information from 2-D video sequences using the properties of primate motion-sensitive neurons. In Perception Vol. 48 (pp. 184). SAGE Publications. Retrieved from

  • Kuang, Y. C., Streeter, L., Cree, M., & Ooi, M. (2019). Evaluation of deep neural network and alternating decision tree for kiwifruit detection. In I2MTC 2019 IEEE International Instrumentation & Measurement Technology Conference. Conference held Auckland, New Zealand. doi:10.1109/I2MTC.2019.8826818

  • Anthonys, G., Cree, M. J., & Streeter, L. (2019). Signal processing approaches for jitter extraction in Time-of-Flight Range Imaging cameras. In 2018, 12th International Conference on Signal Processing and Communication Systems, ICSPCS 2018 - Proceedings. doi:10.1109/ICSPCS.2018.8631708

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