Research Publications for Geoffrey Holmes

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Publications ByHOLMES, Geoffrey

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  • Bifet, A., Zhang, J., Fan, W., He, C., Zhang, J., Qian, J., . . . Pfahringer, B. (2017). Extremely fast decision tree mining for evolving data streams. In Proc 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 1733-1742). Conference held Halifax, NX, Canada: ACM. doi:10.1145/3097983.3098139

  • Holmes, G., Liu, T. Y., Li, H., King, I., Sugiyama, M., & Zhou, Z. H. (2017). Introduction: Special Issue of Selected Papers from ACML 2015. Machine Learning, 106(4), 459-461. doi:10.1007/s10994-017-5636-6

  • Durrant, R. J., Kim, K. E., Holmes, G., Marsland, S., Sugiyama, M., & Zhou, Z. H. (2017). Foreword: Special issue for the Journal Track of the 8th Asian Conference on Machine Learning (ACML 2016). Machine Learning, 106(5), 623-625. doi:10.1007/s10994-017-5637-5

  • Gomes, H. M., Bifet, A., Read, J., Barddal, J. P., Enembreck, F., Pfharinger, B., . . . Abdessalem, T. (2017). Adaptive random forests for evolving data stream classification. Machine Learning, (Online First), 27 pages. doi:10.1007/s10994-017-5642-8

  • Read, J., Reutemann, P., Pfahringer, B., & Holmes, G. (2016). MEKA: A multi-label/multi-target extension to WEKA. Journal of Machine Learning Research, 17(21), 1-5.

  • Thomas, B. M., Stewart, J. M., Bainbridge, D., Nichols, D. M., Rogers, W. J., & Holmes, G. (2015). Digital libraries unfurled: supporting the New Zealand flag debate. In S. Kapidakis, C. Mazurek, & M. Werla (Eds.), Research and Advanced Technology for Digital Libraries: 19th International Conference on Theory and Practice of Digital Libraries Vol. LNCS 9316 (pp. 330-333). Poznań, Poland: Springer. doi:10.1007/978-3-319-24592-8_28

  • Reutemann, P. M., & Holmes, G. (2015). Scientific workflow management with ADAMS: building and data mining a database of crop protection and related data. In R. M. Beresford, K. J. Froud, J. M. Kean, & S. P. Worner (Eds.), The Plant Protection Data Toolbox (pp. 167-174). New Zealand Plant Protection Society (Inc). Retrieved from https://www.nzpps.org/book_contents.php?id=20

  • Holmes, G., & Liu, T. -Y. (2015). (Editors) Proceedings of the 7th Asian Conference on Machine Learning, JMLR Workshop and Conference Proceedings 45. In ACML 2015 (pp. 438 pages). Hong Kong: JMLR. Retrieved from http://jmlr.csail.mit.edu/proceedings/papers/v45/

  • Reutemann, P., & Holmes, G. (2015). Big data with ADAMS. In 4th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications Vol. 41 (pp. 5-8). Sydney, Australia: JMLR Workshop and Conference Proceedings. Retrieved from http://jmlr.org/proceedings/papers/v41/reutemann15.html

  • Bifet, A., de Francisci Morales, G., Read, J., Holmes, G., & Pfahringer, B. (2015). Efficient online evaluation of big data stream classifiers. In Proc 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 59-68). Sydney, Australia: ACM. doi:10.1145/2783258.2783372

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