Albert Bifet

Research interests

Publications

• Machine learning for streaming data

  ACM SIGKDD Explorations Newsletter · 2019 · https://doi.org/10.1145/3373464.3373470

• Machine Learning for Data Streams

  The MIT Press eBooks · 2018 · https://doi.org/10.7551/mitpress/10654.001.0001

• Scikit-Multiflow: A Multi-output Streaming Framework

  arXiv (Cornell University) · 2018 · https://doi.org/10.48550/arxiv.1807.04662

• A Survey on Ensemble Learning for Data Stream Classification

  ACM Computing Surveys · 2017 · https://doi.org/10.1145/3054925

• Adaptive random forests for evolving data stream classification

  Machine Learning · 2017 · https://doi.org/10.1007/s10994-017-5642-8

• A survey on concept drift adaptation

  ACM Computing Surveys · 2014 · https://doi.org/10.1145/2523813

• Mining big data

  ACM SIGKDD Explorations Newsletter · 2013 · https://doi.org/10.1145/2481244.2481246

• Active Learning With Drifting Streaming Data

  IEEE Transactions on Neural Networks and Learning Systems · 2013 · https://doi.org/10.1109/tnnls.2012.2236570

• Sentiment Knowledge Discovery in Twitter Streaming Data

  Lecture notes in computer science · 2010 · https://doi.org/10.1007/978-3-642-16184-1_1

• MOA: Massive Online Analysis

  Research Commons (University of Waikato) · 2010

• Leveraging Bagging for Evolving Data Streams

  Lecture notes in computer science · 2010 · https://doi.org/10.1007/978-3-642-15880-3_15

• MOA: Massive Online Analysis, a framework for stream classification and clustering.

  RWTH Publications (RWTH Aachen) · 2010

• New ensemble methods for evolving data streams

  Journal · 2009 · https://doi.org/10.1145/1557019.1557041

• Adaptive Learning from Evolving Data Streams

  Lecture notes in computer science · 2009 · https://doi.org/10.1007/978-3-642-03915-7_22

• DATA STREAM MINING A Practical Approach

  Journal · 2009

• Learning from Time-Changing Data with Adaptive Windowing

  Journal · 2007 · https://doi.org/10.1137/1.9781611972771.42

Current projects

No projects listed.