PPaperPicks

Albert Bifet

University of Waikato, Hamilton, New Zealand

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

Venues

Frequent coauthors

Tomas Krilavicius
×10
Jesse Davis
×8
Meelis Kull
×8
Eirini Ntoutsi
×8
Indre Zliobaite
×8
Bernhard Pfahringer
×7
Heitor Murilo Gomes
×5
Jesse Read
×4
Yun Sing Koh
×4
Guilherme Weigert Cassales
×3
Maroua Bahri
×2
Ayman Chaouki
×2

Papers

  1. ARES: Anomaly Recognition Model For Edge Streams
    SIGKDD 2026 ·
    Simone Mungari
    , Albert Bifet,
    Giuseppe Manco
    ,
    Bernhard Pfahringer
  2. Binary Split Categorical Feature with Mean Absolute Error Criteria in CART
    AAAI 2026 ·
    Peng Yu
    ,
    Yike Chen
    ,
    Chao Xu
    , Albert Bifet,
    Jesse Read
  3. Salvador Urban Network Transportation (SUNT): A Landmark Spatiotemporal Dataset for Public Transportation (Abstract Reprint)
    AAAI 2026 ·
    Marcos Vinicius Ferreira
    ,
    Matheus Souza
    ,
    Tatiane N. Rios
    ,
    Islame F. C. Fernandes
    ,
    Jorge Nery
    ,
    João Gama
    , Albert Bifet,
    Ricardo Araújo Rios
  4. Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach
    AAAI 2026 ·
    Clément Elliker
    ,
    Jesse Read
    ,
    Sonia Vanier
    , Albert Bifet
  5. Bayesian Stream Tuner: Dynamic Hyperparameter Optimization for Real-Time Data Streams
    SIGKDD 2025 ·
    Nilesh Verma
    , Albert Bifet,
    Bernhard Pfahringer
    ,
    Maroua Bahri
  6. Branches: Efficiently Seeking Optimal Sparse Decision Trees via AO
    ICML 2025 ·
    Ayman Chaouki
    ,
    Jesse Read
    , Albert Bifet
  7. Dynamic Ensemble Member Selection for Data Stream Classification
    CIKM 2025 ·
    Yibin Sun
    ,
    Bernhard Pfahringer
    ,
    Heitor Murilo Gomes
    , Albert Bifet
  8. Machine Learning for Data Streams with CapyMOA
    ECML-PKDD 2025 ·
    Yibin Sun
    ,
    Heitor Murilo Gomes
    ,
    Anton Lee
    ,
    Nuwan Gunasekara
    ,
    Guilherme Weigert Cassales
    ,
    Justin Liu
    ,
    Marco Heyden
    ,
    Vítor Cerqueira
    ,
    Maroua Bahri
    ,
    Yun Sing Koh
    ,
    Bernhard Pfahringer
    , Albert Bifet
  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,
    Tomas Krilavicius
    ,
    Ioanna Miliou
    ,
    Slawomir Nowaczyk
  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,
    Tomas Krilavicius
    ,
    Ioanna Miliou
    ,
    Slawomir Nowaczyk
  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,
    Jesse Davis
    ,
    Tomas Krilavicius
    ,
    Meelis Kull
    ,
    Eirini Ntoutsi
    ,
    Indre Zliobaite
  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,
    Jesse Davis
    ,
    Tomas Krilavicius
    ,
    Meelis Kull
    ,
    Eirini Ntoutsi
    ,
    Indre Zliobaite
  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,
    Jesse Davis
    ,
    Tomas Krilavicius
    ,
    Meelis Kull
    ,
    Eirini Ntoutsi
    ,
    Indre Zliobaite
  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,
    Jesse Davis
    ,
    Tomas Krilavicius
    ,
    Meelis Kull
    ,
    Eirini Ntoutsi
    ,
    Indre Zliobaite
  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,
    Jesse Davis
    ,
    Tomas Krilavicius
    ,
    Meelis Kull
    ,
    Eirini Ntoutsi
    ,
    Indre Zliobaite
  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,
    Jesse Davis
    ,
    Tomas Krilavicius
    ,
    Meelis Kull
    ,
    Eirini Ntoutsi
    ,
    Indre Zliobaite
  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,
    Jesse Davis
    ,
    Tomas Krilavicius
    ,
    Meelis Kull
    ,
    Eirini Ntoutsi
    ,
    Indre Zliobaite
  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,
    Povilas Daniusis
    ,
    Jesse Davis
    ,
    Tomas Krilavicius
    ,
    Meelis Kull
    ,
    Eirini Ntoutsi
    ,
    Kai Puolamäki
    ,
    Indre Zliobaite
  19. Online Isolation Forest
    ICML 2024 ·
    Filippo Leveni
    ,
    Guilherme Weigert Cassales
    ,
    Bernhard Pfahringer
    , Albert Bifet,
    Giacomo Boracchi
  20. Online Learning of Decision Trees with Thompson Sampling
    AISTATS 2024 ·
    Ayman Chaouki
    ,
    Jesse Read
    , Albert Bifet
  21. Practical Machine Learning for Streaming Data
    SIGKDD 2024 ·
    Heitor Murilo Gomes
    , Albert Bifet
  22. Recurrent Concept Drifts on Data Streams
    IJCAI 2024 ·
    Nuwan Gunasekara
    ,
    Bernhard Pfahringer
    ,
    Heitor Murilo Gomes
    , Albert Bifet,
    Yun Sing Koh
  23. Sketch-Based Replay Projection for Continual Learning
    SIGKDD 2024 ·
    Jack Julian
    ,
    Yun Sing Koh
    , Albert Bifet
  24. Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme
    IJCAI 2024 ·
    Yun Sing Koh
    , Albert Bifet,
    Karin R. Bryan
    ,
    Guilherme Weigert Cassales
    ,
    Olivier Graffeuille
    ,
    Nick Jin Sean Lim
    ,
    Phil Mourot
    ,
    Ding Ning
    ,
    Bernhard Pfahringer
    ,
    Varvara Vetrova
    ,
    Heitor Murilo Gomes