Research Publications for Heitor M Gomes
Welcome to the University of Waikato research publications search. This database includes all research publications produced by the University from 1998.
Author's Publications
Search our Staff Profiles to contact our current staff members.
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
Montiel, J., Halford, M., Mastelini, S. M., Bolmier, G., Sourty, R., Vaysse, R., . . . Bifet, A. (2021). River: Machine learning for streaming data in Python. Journal of Machine Learning Research, 22(10), 1-8. Retrieved from http://jmlr.org/papers/v22/20-1380.html
Open Access version at:
https://hdl.handle.net/10289/14402
Other publications by:
MONTIEL LOPEZ, Jacob :: BIFET FIGUEROL, Albert C :: GOMES, Heitor MBifet, A., Ferreira, C., Gama, J., & Gomes, H. M. (2021). Editorial Message. In Proceedings of the ACM Symposium on Applied Computing (pp. 417).
Gomes, H., Read, J., Bifet, A., & Durrant, R. J. (2021). Learning from evolving data streams through ensembles of random patches. Knowledge and Information Systems, 63(7), 1597-1625. doi:10.1007/s10115-021-01579-z
Bahri, M., Bifet, A., Gama, J., Gomes, H. M., & Maniu, S. (2021). Data stream analysis: foundations, major tasks and tools. WIREs: Data Mining and Knowledge Discovery, 11(3). doi:10.1002/widm.1405
Fournier-Viger, P., He, G., Lin, J. C. W., & Gomes, H. M. (2020). Mining attribute evolution rules in dynamic attributed graphs. In M. Song, I. -Y. Song, G. Kotsis, A. M. Tjoa, & I. Khalil (Eds.), Proc 22nd International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2020) Vol. LNCS 12393 (pp. 167-182). Bratislava, Slovakia: Springer. doi:10.1007/978-3-030-59065-9_14
Other publications by:
GOMES, Heitor MBernardo, A., Gomes, H. M., Montiel, J., Pfahringer, B., Bifet, A., & Valle, E. D. (2020). C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams. In Proceedings - 2020 IEEE International Conference on Big Data (pp. 483-492). doi:10.1109/BigData50022.2020.9377768
Other publications by:
MONTIEL LOPEZ, Jacob :: BIFET FIGUEROL, Albert C :: GOMES, Heitor M :: PFAHRINGER, Bernhard MCassales, G., Gomes, H., Bifet, A., Pfahringer, B., & Senger, H. (2020). Improving parallel performance of ensemble learners for streaming data through data locality with mini-batching. In Proceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020 (pp. 138-146). doi:10.1109/HPCC-SmartCity-DSS50907.2020.00018
Gomes, H. M., Montiel, J., Mastelini, S. M., Pfahringer, B., & Bifet, A. (2020). On ensemble techniques for data stream regression. In Proc 2020 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). Glasgow, UK: IEEE. doi:10.1109/IJCNN48605.2020.9206756
Other publications by:
GOMES, Heitor M :: MONTIEL LOPEZ, Jacob :: BIFET FIGUEROL, Albert C :: PFAHRINGER, Bernhard MCeschin, F., Botacin, M., Lüders, G., Gomes, H. M., Oliveira, L., & Gregio, A. (2020). No need to teach new tricks to old malware: Winning an evasion challenge with XOR-based adversarial samples. In ACM International Conference Proceeding Series (pp. 13-22). doi:10.1145/3433667.3433669
Other publications by:
GOMES, Heitor M
See Also: Research Links | Student Research Theses | Research Commons