Research Publications for Bernhard M Pfahringer

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• Ansell, A., Bravo-Marquez, F., & Pfahringer, B. (2021). PolyLM: Learning about polysemy through language modeling. In P. Merlo, J. Tiedemann, & R. Tsarfaty (Eds.), Proc 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (EACL 2021) (pp. 563-574). online: ACL. Retrieved from https://www.aclweb.org/anthology/2021.eacl-main.45

  Other publications by:
  PFAHRINGER, Bernhard M

• 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

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

• Cassales, G., Gomes, H., Bifet, A., Pfahringer, B., & Senger, H. (2021). Improving the performance of bagging ensembles for data streams through mini-batching. Information Sciences, 580, 260-282. doi:10.1016/j.ins.2021.08.085

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

• Yogarajan, V., Montiel, J., Smith, T., & Pfahringer, B. (2021). Transformers for multi-label classification of medical text: an empirical comparison. In A. Tucker, P. Henriques Abreu, J. Cardoso, P. Pereira Rodrigues, & D. Riaño (Eds.), Proc 19th International Conference on Artificial Intelligence in Medicine (AIME 2021), LNCS 12721 (pp. 114-123). Virtual Event: Springer. doi:10.1007/978-3-030-77211-6_12

  Other publications by:
  MONTIEL LOPEZ, Jacob :: YOGARAJAN, Vithya :: SMITH, Anthony C (Tony) :: PFAHRINGER, Bernhard M

• Gouk, H., Frank, E., Pfahringer, B., & Cree, M. J. (2021). Regularisation of neural networks by enforcing Lipschitz continuity. Machine Learning, 110, 393-416. doi:10.1007/s10994-020-05929-w

  Open Access version at:
  https://hdl.handle.net/10289/14147
  Other publications by:
  FRANK, Eibe T :: PFAHRINGER, Bernhard M :: CREE, Michael J

• Bravo-Marquez, F., Khanchandani, A., & Pfahringer, B. (2021). Incremental word vectors for time-evolving sentiment lexicon induction. Cognitive Computation. doi:10.1007/s12559-021-09831-y

  Other publications by:
  PFAHRINGER, Bernhard M

• Rivolli, A., Read, J., Soares, C., Pfahringer, B., & de Carvalho, A. C. P. L. F. (2020). An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Machine Learning, 109, 1509-1563. doi:10.1007/s10994-020-05879-3

  Other publications by:
  PFAHRINGER, Bernhard M

• Yogarajan, V., Montiel, J., Smith, T., & Pfahringer, B. (2020). Seeing the whole patient: Using multi-label medical text classification techniques to enhance predictions of medical codes.. CoRR, abs/2004.00430.

  Other publications by:
  MONTIEL LOPEZ, Jacob :: YOGARAJAN, Vithya :: PFAHRINGER, Bernhard M

• Carnein, M., Trautmann, H., Bifet, A., & Pfahringer, B. (2020). confstream: automated algorithm selection and configuration of stream clustering algorithms. In I. S. Kotsireas, & P. M. Pardalos (Eds.), Proc 14th International Conference on Learning and Intelligent Optimization (LION 2020) Vol. LNCS 12096 (pp. 80-95). Athens, Greece: Springer. doi:10.1007/978-3-030-53552-0_10

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

• Sahito, A., Frank, E., & Pfahringer, B. (2020). Transfer of pretrained model weights substantially improves semi-supervised image classification. In M. Gallagher, N. Moustafa, & E. Lakshika (Eds.), Proc 33rd Australasian Joint Conference on Advances in Artificial Intelligence (AI 2020), LNAI 12576 (pp. 434-444). Cham: Springer. doi:10.1007/978-3-030-64984-5_34

  Open Access version at:
  https://hdl.handle.net/10289/14030
  Other publications by:
  FRANK, Eibe T :: PFAHRINGER, Bernhard M