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  • 2022

    Algorithm Recommendation for Data Streams

    Brazdil, P. (Corresponding author), van Rijn, J. N., Soares, C. & Vanschoren, J., 22 Feb 2022, Metalearning. Springer, p. 201-218 18 p. (Cognitive Technologies).

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    1 Citation (Scopus)
  • Automating Data Science

    Brazdil, P. (Corresponding author), van Rijn, J. N., Soares, C. & Vanschoren, J., 22 Feb 2022, Metalearning: Applications to Automated Machine Learning and Data Mining. Springer, p. 269-282 14 p. (Cognitive Technologies).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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  • Automating the Design of Complex Systems

    Brazdil, P. (Corresponding author), van Rijn, J. N., Soares, C. & Vanschoren, J., 22 Feb 2022, Metalearning: Applications to Automated Machine Learning and Data Mining. Springer, p. 283-294 12 p. (Cognitive Technologies).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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  • Automating Workflow/Pipeline Design

    Brazdil, P. (Corresponding author), van Rijn, J. N., Soares, C. & Vanschoren, J., 22 Feb 2022, Metalearning: Applications to Automated Machine Learning and Data Mining. Springer, p. 123-140 18 p. (Cognitive Technologies).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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    1 Citation (Scopus)
  • Concluding Remarks

    Brazdil, P. (Corresponding author), van Rijn, J. N., Soares, C. & Vanschoren, J., 22 Feb 2022, Metalearning: Applications to Automated Machine Learning and Data Mining. Springer, p. 329-337 9 p. (Cognitive Technologies).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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  • Dataset Characteristics (Metafeatures)

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Metalearning: Applications to Automated Machine Learning and Data Mining. Springer, p. 53-75 23 p. (Cognitive Technologies).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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    5 Citations (Scopus)
    5 Downloads (Pure)
  • Evaluating Recommendations of Metalearning/AutoML Systems

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 22 Feb 2022, Metalearning: Applications to Automated Machine Learning and Data Mining. Springer, p. 39-52 14 p. (Cognitive Technologies).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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    1 Citation (Scopus)
  • Introduction

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Metalearning: Applications to Automated Machine Learning and Data Mining. Springer, p. 3-17 15 p. (Cognitive Technologies).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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  • Learning from Metadata in Repositories

    Brazdil, P. (Corresponding author), van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Metalearning: Applications to Automated Machine Learning and Data Mining. Springer, p. 311-327 17 p. (Cognitive Technologies).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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    1 Citation (Scopus)
  • Metadata Repositories

    Brazdil, P. (Corresponding author), van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Metalearning: Applications to Automated Machine Learning and Data Mining. Springer, p. 297-310 14 p. (Cognitive Technologies).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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    1 Citation (Scopus)
  • Metalearning Approaches for Algorithm Selection I (Exploiting Rankings)

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 22 Feb 2022, Metalearning: Applications to Automated Machine Learning and Data Mining. Springer, p. 19-37 19 p. (Cognitive Technologies).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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    16 Citations (Scopus)
    3 Downloads (Pure)
  • Metalearning Approaches for Algorithm Selection II

    Brazdil, P. (Corresponding author), van Rijn, J. N., Soares, C. & Vanschoren, J., 22 Feb 2022, Metalearning: Applications to Automated Machine Learning and Data Mining. Springer, p. 77-102 26 p. (Cognitive Technologies).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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    4 Citations (Scopus)
  • Metalearning for Hyperparameter Optimization

    Brazdil, P. (Corresponding author), van Rijn, J. N., Soares, C. & Vanschoren, J., 22 Feb 2022, Metalearning: Applications to Automated Machine Learning and Data Mining. Springer, p. 103-122 20 p. (Cognitive Technologies).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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    4 Citations (Scopus)
  • Metalearning in Ensemble Methods

    Brazdil, P. (Corresponding author), van Rijn, J. N., Soares, C. & Vanschoren, J., 22 Feb 2022, Metalearning: Applications to Automated Machine Learning and Data Mining. Springer, p. 189-200 12 p. (Cognitive Technologies).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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    4 Citations (Scopus)
    3 Downloads (Pure)
  • Setting Up Configuration Spaces and Experiments

    Brazdil, P. (Corresponding author), van Rijn, J. N., Soares, C. & Vanschoren, J., 22 Feb 2022, Metalearning: Applications to Automated Machine Learning and Data Mining. Springer, p. 143-168 26 p. (Cognitive Technologies).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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    1 Citation (Scopus)
    2 Downloads (Pure)
  • 2019

    Meta-learning

    Vanschoren, J., 2019, Automatic Machine Learning: Methods, Systems, Challenges. Hutter, F., Kotthoff, L. & Vanschoren, J. (eds.). Cham: Springer, p. 39-61 27 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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    93 Downloads (Pure)
  • 2017

    An algorithm, implementation and execution ontology design pattern

    Ławrynowicz, A., Esteves, D., Panov, P., Soru, T., Džeroski, S. & Vanschoren, J., 27 Dec 2017, Advances in Ontology Design and Patterns. Amsterdam: IOS Press, p. 55-68 14 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    4 Citations (Scopus)
  • 2016

    An algorithm, implementation and execution ontology design pattern

    Lawrynowicz, A., Esteves, D., Panov, P., Soru, T., Dzeroski, S. & Vanschoren, J., 1 Nov 2016, ISWC Workshop on Ontology and Semantic Web Patterns.

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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    246 Downloads (Pure)
  • 2014

    Large-scale sensor network analysis: applications in structural health monitoring

    Vanschoren, J., Vespier, U., Miao, S., Meeng, M., Cachucho, R. & Knobbe, A., 2014, Big Data Management, Technologies, and Applications. Hu, W. C. & Kaabouch, N. (eds.). Hershey: IGI Global, p. 314-347 34 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

  • 2011

    Meta-learning architectures: collecting, organizing and exploiting meta-knowledge

    Vanschoren, J., 2011, Meta-learning in computational intelligence. Jankowski, N., Duch, W. & Grabczewski, K. (eds.). Berlin: Springer, p. 117-155 39 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    Open Access
    12 Citations (Scopus)
  • 2010

    Experiment databases

    Vanschoren, J. & Blockeel, H., 2010, Inductive databases and constraint-based data mining. Dzeroski, S., Goethals, B. & Panov, P. (eds.). New York: Springer, p. 335-361 27 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    1 Citation (Scopus)