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

  • 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

  • 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, EMBS (pp. 1973-1976). doi:10.1109/EMBC.2019.8856545

  • 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.

  • 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

  • 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

  • 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

  • Bifet, A., Read, J., Holmes, G., & Pfahringer, B. (2018). Streaming data mining with Massive Online Analytics (MOA). In M. Last, H. Bunke, & A. Kandel (Eds.), Data Mining in Time Series and Streaming Databases (pp. 1-25). doi:10.1142/9789813228047_0001

  • Chen, Y., Sharifi, N., & Holmes, G. (2018). Biosensing by learning: cancer detection as iterative optimization. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1837-1840). Conference held at Honolulu, Hawaii: IEEE. doi:10.1109/EMBC.2018.8512705

  • Gibert, K., Izquierdo, J., Sànchez-Marrè, M., Hamilton, S. H., Rodríguez-Roda, I., & Holmes, G. (2018). Which method to use? An assessment of data mining methods in Environmental Data Science. Environmental Modelling and Software, 110, 3-27. doi:10.1016/j.envsoft.2018.09.021

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