Heitor Murilo Gomes

I am a Machine Learning Researcher and Data Scientist. As of 2022, I became a Lecturer (Assistant Professor) in AI at the Victoria University of Wellington (New Zealand).

Selected Publications

A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams

H M Gomes, M Grzenda, R Mello, J Read, M H L Nguyen, A Bifet. ACM Computing Surveys, 2022. DOI: https://doi.org/10.1145/3523055

We organise methods that leverage unlabelled data in a semi-supervised setting for streaming data. We also discuss the delayed labelling issue, which impacts both fully supervised and semi-supervised methods.

Streaming Random Patches for Evolving Data Stream Classification

H M Gomes, J Read, A Bifet. IEEE International Conference on Data Mining (ICDM), 2019. DOI: https://doi.org/10.1109/ICDM.2019.00034

The Streaming Random Patches (SRP) algorithm outperforms the current state-of-the-art ensemble methods for evolving data stream classification. Access Paper

Machine learning for streaming data: state of the art, challenges, and opportunities

H M Gomes, J Read, A Bifet, J P Barddal, J Gama. SIGKDD Explorations Newsletter, ACM , 2019. DOI: https://doi.org/10.1145/3373464.3373470

In this work, we focus on elucidating the connections among the current stateof-the-art on related fields; and clarifying open challenges in both academia and industry. Access Paper

A Survey on Ensemble Learning for Data Stream Classification

H M Gomes, J P Barddal, F Enembreck, A Bifet. ACM Computing Surveys 50, 2, Article 23, 2017. DOI: https://doi.org/10.1145/3054925

This paper contains the most up to date and comprehensive survey about ensemble learning for data streams. Access Paper

Adaptive random forests for evolving data stream classification

H M Gomes, A Bifet, J Read, …, B Pfahringer, G Holmes, T Abdessalem. ACM Machine Learning, Springer, 2017. DOI: https://doi.org/10.1007/s10994-017-5642-8

This paper presents an efficent version of the classical Random Forests algorithm for evolving data streams, namely the Adaptive Random Forest (ARF) algorithm. Access Paper

News 2022!

  • (June 2022)
  • (May 2022)
    • Joined the Victoria University of Wellington as a Lecturer in AI
    • Paper accepted for publication at the Information Sciences journal
  • (April 2022) New papers & projects
    • 2 Papers accepted for publication at IJCNN 2022
    • Paper accepted for publication at the DAMI journal (ECML track)
    • Collaboration with Influx energy on streaming analytics
  • (February 2022) Papers, Collaborations
    • Paper accepted for publication at the ACM Computing Surveys journal
    • Paper accepted for publication at the IEEE Internet Computing journal
    • Collaboration with Cardiff University in a resource-aware machine learning project
    • MOU signed between University of Waikato and Universidade Federal do Parana
  • (January 2022) Paper accepted for publication at the DAMI journal