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Albert Bifet

University of Waikato, Hamilton, New Zealand

24 papers at tracked venues · 9 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-8339-7773 ↗Homepage ↗

Venues

ECML-PKDD ×11SIGKDD ×4AAAI ×3ICML ×2IJCAI ×2AISTATS ×1CIKM ×1

Frequent coauthors

Ayman Chaouki
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Yibin Sun
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Simone Mungari
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Peng Yu
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Marcos Vinicius Ferreira
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Clément Elliker
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Nilesh Verma
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Filippo Leveni
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Heitor Murilo Gomes
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Nuwan Gunasekara
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Jack Julian
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Yun Sing Koh
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Papers

  1. ARES: Anomaly Recognition Model For Edge Streams
    SIGKDD 2026 ·
    Simone Mungari
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  2. Binary Split Categorical Feature with Mean Absolute Error Criteria in CART
    AAAI 2026 ·
    Peng Yu
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  3. Salvador Urban Network Transportation (SUNT): A Landmark Spatiotemporal Dataset for Public Transportation (Abstract Reprint)
    AAAI 2026 ·
    Marcos Vinicius Ferreira
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  4. Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach
    AAAI 2026 ·
    Clément Elliker
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  5. Bayesian Stream Tuner: Dynamic Hyperparameter Optimization for Real-Time Data Streams
    SIGKDD 2025 ·
    Nilesh Verma
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  6. Branches: Efficiently Seeking Optimal Sparse Decision Trees via AO
    ICML 2025 ·
    Ayman Chaouki
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  7. Dynamic Ensemble Member Selection for Data Stream Classification
    CIKM 2025 ·
    Yibin Sun
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  8. Machine Learning for Data Streams with CapyMOA
    ECML-PKDD 2025 ·
    Yibin Sun
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  9. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IX
    ECML-PKDD 2024 · Albert Bifet
  10. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part X
    ECML-PKDD 2024 · Albert Bifet
  11. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part I
    ECML-PKDD 2024 · Albert Bifet
  12. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part II
    ECML-PKDD 2024 · Albert Bifet
  13. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part III
    ECML-PKDD 2024 · Albert Bifet
  14. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IV
    ECML-PKDD 2024 · Albert Bifet
  15. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part V
    ECML-PKDD 2024 · Albert Bifet
  16. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VI
    ECML-PKDD 2024 · Albert Bifet
  17. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VII
    ECML-PKDD 2024 · Albert Bifet
  18. Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VIII
    ECML-PKDD 2024 · Albert Bifet
  19. Online Isolation Forest
    ICML 2024 ·
    Filippo Leveni
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  20. Online Learning of Decision Trees with Thompson Sampling
    AISTATS 2024 ·
    Ayman Chaouki
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  21. Practical Machine Learning for Streaming Data
    SIGKDD 2024 ·
    Heitor Murilo Gomes
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  22. Recurrent Concept Drifts on Data Streams
    IJCAI 2024 ·
    Nuwan Gunasekara
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  23. Sketch-Based Replay Projection for Continual Learning
    SIGKDD 2024 ·
    Jack Julian
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  24. Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme
    IJCAI 2024 ·
    Yun Sing Koh
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