Peter Tino

Publications

  1. 2013
  2. Published

    Time-dependent series variance learning with recurrent mixture density networks

    Peter Tino, 25 Dec 2013, In : Neurocomputing. 122, p. 501-512 12 p.

    Research output: Contribution to journalArticle

  3. Published

    Concept Drift Detection for Online Class Imbalance Learning

    Shuo Wang, Leandro Minku, Peter Tino & Xin Yao, 4 Sep 2013. 10 p.

    Research output: Contribution to conference (unpublished)Paper

  4. Published

    A Framework for the Analysis of Process Mining Algorithms

    Philip Weber, Behzad Bordbar & Peter Tino, 1 Mar 2013, In : IEEE Transactions on Cybernetics. 43, 2, p. 303-17 15 p.

    Research output: Contribution to journalArticle

  5. Published

    A Principled Approach to Mining From Noisy Logs Using Heuristics Miner

    Philip Weber, Behzad Bordbar & Peter Tino, 2013, Computational Intelligence and Data Mining (CIDM), 2013 IEEE Symposium on. Institute of Electrical and Electronics Engineers (IEEE), p. 119-126 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  6. Published
  7. Published

    Ordinal-based metric learning for learning using privileged information

    Shereen Fouad & Peter Tino, 2013, Proceedings of the International Joint Conference on Neural Networks. 6706799

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. 2012
  9. Published

    Process Mining in Non-Stationary Environments

    Philip Weber, Peter Tino & Behzad Bordbar, 13 Jul 2012, ESANN 2012 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN, p. 37-42 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  10. Published
  11. Published

    Improving Generalization Performance in Co-Evolutionary Learning

    Peter Tino & Xin Yao, 1 Feb 2012, In : IEEE Transactions on Evolutionary Computation. 16, 1, p. 70-85 16 p.

    Research output: Contribution to journalArticle

  12. Published

    A Principled Approach to the Analysis of Process Mining Algorithms

    Philip Weber, Behzad Bordbar & Peter Tino, 1 Jan 2012, Intelligent Data Engineering and Automated Learning - IDEAL 2011: 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings. Yin, H., Wang, W. & Rayward-Smith, V. (eds.). Springer, p. 474-481 8 p. (Lecture Notes in Computer Science; vol. 6936).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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