Chemometrics and Intelligent Laboratory Systems, 0169-7439

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  1. Supervised projection pursuit - A dimensionality reduction technique optimized for probabilistic classification

    Barcaru, A., 15-Nov-2019, In : Chemometrics and Intelligent Laboratory Systems. 194, 11 p., 103867.

    Research output: Contribution to journalArticleAcademicpeer-review

  2. Sectional moving window factor analysis for diagnosing elution chromatographic patterns

    Zeng, Z. D., Xu, C. J., Liang, Y. Z. & Li, B. Y., 28-Nov-2003, In : Chemometrics and Intelligent Laboratory Systems. 69, 1-2, p. 89-101 13 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  3. Improving the classification accuracy in chemistry via boosting technique

    He, P., Xu, C. J., Liang, Y. Z. & Fang, K. T., 28-Jan-2004, In : Chemometrics and Intelligent Laboratory Systems. 70, 1, p. 39-46 8 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  4. Using orthogonal projection approach (OPA) for rank-deficient reaction processes

    Xu, C. J., Gourvénec, S., Liang, Y. Z. & Massart, D. L., 1-Mar-2006, In : Chemometrics and Intelligent Laboratory Systems. 81, 1, p. 3-12 10 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  5. Visualising interactions in bi- and triadditive models for three-way tables

    Albers, C. & Gower, J., 15-Aug-2017, In : Chemometrics and Intelligent Laboratory Systems. 167, p. 238-247 10 p.

    Research output: Contribution to journalArticleAcademicpeer-review

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