Research Publications for "DHEC"

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  • Sharifi, N., Gong, Z., Holmes, G., & Chen, Y. (2021). A feasibility study of in vivo control and tracking of microrobot using taxicab geometry for direct drug targeting. IEEE Transactions on NanoBioscience, 20(2), 235-245. doi:10.1109/TNB.2021.3062006

  • Barker, R. D., Barker, S. L. L., Cracknell, M. J., Stock, E. D., & Holmes, G. (2021). Quantitative mineral mapping of drill core surfaces II: long-wave infrared mineral characterization using μXRF and machine learning. Economic Geology, 116(4), 821-836. doi:10.5382/econgeo.4804

  • Mitchell, R., Frank, E., & Holmes, G. (2021). An empirical study of moment estimators for quantile approximation. ACM Transactions on Database Systems, 46(1), 1-21. doi:10.1145/3442337

  • Read, J., Pfahringer, B., Holmes, G., & Frank, E. (2021). Classifier chains: A review and perspectives. Journal of Artificial Intelligence Research, 70, 683-718. doi:10.1613/jair.1.12376

  • 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

  • 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

  • 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/

  • 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., 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

  • 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

  • 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

  • van Rijn, J. N., Holmes, G., Pfahringer, B., & Vanschoren, J. (2018). The online performance estimation framework: heterogeneous ensemble learning for data streams. Machine Learning, 107(1), 149-176. doi:10.1007/s10994-017-5686-9

  • Gibert, K., Horsburgh, J. S., Athanasiadis, I. N., & Holmes, G. (2018). Environmental data science. Environmental Modelling & Software, 106, 4-12. doi:10.1016/j.envsoft.2018.04.005


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