1. 2018
  2. Multivariate Time-Series Classification Using the Hidden-Unit Logistic Model

    Pei, W., Dibeklioglu, H., Tax, D. M. J. & van der Maaten, L., 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 4, p. 920-931 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Protein remote homology detection using dissimilarity-based multiple instance learning

    Mensi, A., Bicego, M., Lovato, P., Loog, M. & Tax, D. M. J., 2018, Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2018, Proceedings. Bai, X., Hancock, E. R., Ho, T. K., Wilson, R. C., Biggio, B. & Robles-Kelly, A. (eds.). Cham: Springer Verlag, p. 119-129 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11004 ).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  4. 2017
  5. Interacting Attention-gated Recurrent Networks for Recommendation

    Pei, W., Yang, J., Sun, Z., Zhang, J., Bozzon, A. & Tax, D., Nov 2017, CIKM'17 Proceedings of the 2017 ACM Conference on Information and Knowledge Management. New York: Association for Computing Machinery (ACM), p. 1459-1468 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  6. Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB, 2nd Edition

    Lei, B., Xu, G., Feng, M., Zou, Y., van der Heijden, F., de Ridder, D. & Tax, D., 2017, 2nd ed. Padstow: John Wiley & Sons. 480 p.

    Research output: Book/ReportBookScientific

  7. Do you trust your multiple instance learning classifier?

    Cheplygina, V., Sørensen, L., Tax, D., de Bruijne, M. & Loog, M., 2017, p. 72-73. 2 p.

    Research output: Contribution to conferenceAbstractScientific

  8. Markov Random Field for Wind Farm Planning

    Cetinay-Iyicil, H., Kekec, T., Kuipers, F. & Tax, D., 2017, 2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE). Piscataway: IEEE, p. 182-187 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  9. Temporal Attention-Gated Model for Robust Sequence Classification

    Pei, W., Baltrusaitis, T., Tax, D. & Morency, L-P., 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). O'Conner, L. (ed.). Piscataway: IEEE, p. 820-829 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  10. 2016
  11. Beyond Condition-Monitoring: Comparing Diagnostic Events with Word Sequence Kernel for Train Delay Prediction

    Lee, W-J., Tax, D. & Duin, B., 2016, Proceedings of the Thord European Conference of the Prognostics and Health Management Society 2016. Eballard, I. & Bregon, A. (eds.). PHM Society, Vol. 7. p. 162-167 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  12. Dissimilarity-based ensembles for multiple instance learning

    Cheplygina, VV., Tax, DMJ. & Loog, M., 2016, In : IEEE Transactions on Neural Networks and Learning Systems. 27, 6, p. 1379-1391 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  13. Novelty detection and multi-class classification in power distribution voltage waveforms

    Lazzaretti, A. E., Tax, D. M. J., Vieira Neto, H. & Ferreira, V. H., 2016, In : Expert Systems with Applications. 45, p. 322-330 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

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