Research Publications for Geoffrey Holmes

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Author's Publications

Publications ByHOLMES, Geoffrey

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  • Sharifi, N., Zhou, Y., Holmes, G., & Chen, Y. (2020). Overcoming channel uncertainties in touchable molecular communication for direct-drug-targeting-assisted immuno-chemotherapy. IEEE Transactions on NanoBioscience, 19(2), 249-258. doi:10.1109/tnb.2019.2960068

  • Sharifi, N., Ali, M., Holmes, G., & Chen, Y. (2020). Blind Obstacle Avoidance Using Taxicab Geometry for NanorobotAssisted Direct Drug Targeting. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2020-July (pp. 4700-4703). doi:10.1109/EMBC44109.2020.9175165

  • Sharifi, N., Chen, Y., Holmes, G., Cheang, U. K., & Gong, Z. (2019). Model predictive control strategy for navigating nanoswimmers in blood vessels using taxicab geometry. In IEEE International Conference on Nano/Molecular Medicine and Engineering Vol. 2020-November (pp. 163-166). doi:10.1109/NANOMED49242.2019.9130625

  • Knight, K., Zhang, C., Holmes, G., & Zhang, M. -L. (Eds.) (2019). Artificial Intelligence: Second CCF International Conference, ICAI 2019 Proceedings. In ICAI 2019 (pp. 298 pages). Xuzhou, China: Springer.

  • Sharifi, N., Chen, Y., Holmes, G., Cheang, U. K., & Gong, Z. (2019). Model Predictive Control Strategy for Navigating Nanoswimmers in Blood Vessels of Taxicab Geometry. In ‎2019 13TH IEEE International Conference On Nano/Molecular Medicine & Engineering (pp. 96). Gwangju, SOUTH KOREA: IEEE. Retrieved from http://gateway.webofknowledge.com/

  • Sharifi, N., Holmes, G., Zhou, Y., Ali, M., & Chen, Y. (2019). Overcoming channel uncertainties in molecular-communication-inspired direct drug targeting. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1973-1976). doi:10.1109/EMBC.2019.8856545

  • Gomes, H. M., Bifet, A., Read, J., Barddal, J. P., Enembreck, F., Pfahringer, B., . . . Abdessalem, T. (2019). Correction to: Adaptive random forests for evolving data stream classification (Machine Learning, (2017), 106, 9-10, (1469-1495), 10.1007/s10994-017-5642-8). Machine Learning, 108, 1877-1878. doi:10.1007/s10994-019-05793-3

  • Leathart, T., Frank, E., Pfahringer, B., & Holmes, G. (2019). On calibration of nested dichotomies. In Q. Yang, Z. -H. Zhou, Z. Gong, M. -L. Zhang, & S. -J. Huang (Eds.), Advances in Knowledge Discovery and Data Mining: Proc 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019), LNCS 11439 Vol. Part I (pp. 69-80). Cham: Springer. doi:10.1007/978-3-030-16148-4_6

  • Leathart, T., Frank, E., Pfahringer, B., & Holmes, G. (2019). Ensembles of nested dichotomies with multiple subset evaluation. In Q. Yang, Z. -H. Zhou, Z. Gong, M. -L. Zhang, & S. -J. Huang (Eds.), Advances in Knowledge Discovery and Data Mining: Proc 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019), LNCS 11439 Vol. Part I (pp. 81-93). Cham: Springer. doi:10.1007/978-3-030-16148-4_7

  • Knight, K., Zhang, C., Holmes, G., & Zhang, M. L. (2019). Preface. Communications in Computer and Information Science, 1001.


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