Research Publications for Bernhard M Pfahringer

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• Yogarajan, V., Gouk, H., Smith, T., Mayo, M., & Pfahringer, B. (2020). Comparing high dimensional word embeddings trained on medical text to bag-of-words for predicting medical codes. In P. Sitek, M. Petranik, M. Krótkiewicz, & C. Srinilta (Eds.), Proc 12th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2020) LNCS 12033 (pp. 97-108). Phuket, Thailand: Springer. doi:10.1007/978-3-030-41964-6_9

  Other publications by:
  YOGARAJAN, Vithya :: MAYO, Michael J :: PFAHRINGER, Bernhard M

• Yogarajan, V., Pfahringer, B., & Mayo, M. (2020). A review of automatic end-to-end de-Identification: Is high accuracy the only metric?. Applied Artificial Intelligence, 34(3), 251-269. doi:10.1080/08839514.2020.1718343

  Other publications by:
  YOGARAJAN, Vithya :: PFAHRINGER, Bernhard M :: MAYO, Michael J

• Bahri, M., Pfahringer, B., Bifet, A., & Maniu, S. (2020). Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12080 LNCS (pp. 40-53). doi:10.1007/978-3-030-44584-3_4

  Other publications by:
  BIFET FIGUEROL, Albert C :: PFAHRINGER, Bernhard M

• 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

  Other publications by:
  BIFET FIGUEROL, Albert C :: GOMES, Heitor M :: PFAHRINGER, Bernhard M :: HOLMES, Geoffrey

• Barddal, J. P., Enembreck, F., Gomes, H. M., Bifet, A., & Pfahringer, B. (2019). Merit-guided dynamic feature selection filter for data streams. Expert Systems with Applications, 116, 227-242. doi:10.1016/j.eswa.2018.09.031

  Other publications by:
  BIFET FIGUEROL, Albert C :: GOMES, Heitor M :: PFAHRINGER, Bernhard M

• Gomes, H. M., Mello, R. F. D., Pfahringer, B., & Bifet, A. (2019). Feature Scoring using Tree-Based Ensembles for Evolving Data Streams. In Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019 (pp. 761-769). doi:10.1109/BigData47090.2019.9006366

  Other publications by:
  BIFET FIGUEROL, Albert C :: PFAHRINGER, Bernhard M

• Bravo-Marquez, F., Frank, E., Pfahringer, B., & Mohammad, S. M. (2019). AffectiveTweets: a Weka package for analyzing affect in tweets. Journal of Machine Learning Research, 20, 1-6. Retrieved from http://jmlr.org/papers/v20/18-450.html

  Open Access version at:
  https://hdl.handle.net/10289/12617
  Other publications by:
  BRAVO MARQUEZ, Felipe :: FRANK, Eibe T :: PFAHRINGER, Bernhard M

• Yogarajan, V., Pfahringer, B., & Mayo, M. (2019). Automatic end-to-end De-identification: Is high accuracy the only metric?. CoRR, abs/1901.10583.

  Other publications by:
  YOGARAJAN, Vithya :: PFAHRINGER, Bernhard M

• 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

  Other publications by:
  FRANK, Eibe T :: PFAHRINGER, Bernhard M :: HOLMES, Geoffrey

• Wicker, J., Hua, Y. C., Rebello, R., & Pfahringer, B. (2019). XOR-Based boolean matrix decomposition. In Proceedings - IEEE International Conference on Data Mining, ICDM Vol. 2019-November (pp. 638-647). doi:10.1109/ICDM.2019.00074

  Other publications by:
  PFAHRINGER, Bernhard M