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  1. Published

    Evaluation and selection of clustering methods using a hybrid group MCDM

    Barak, S. & Mokfi, T., 30/12/2019, In: Expert Systems with Applications. 138, 19 p., 112817.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Published

    Meta-learning for Forecasting Model Selection

    Barak, S., 2021, Lancaster University. 165 p.

    Research output: Thesis › Doctoral Thesis

  3. Published

    A Context-Driven Data Weighting Approach for Handling Concept Drift in Classification

    Barakat, L., 25/05/2015, Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. Wroclaw: Springer, p. 383-393 11 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  4. Published

    A context-aware approach for handling concept drift in classification

    Barakat, L., 2018, Lancaster University. 214 p.

    Research output: Thesis › Doctoral Thesis

  5. Published

    An Evaluation of Neural Network Ensembles and Model Selection for Time Series Prediction

    Barrow, D. K., Crone, S. F. & Kourentzes, N., 2010, The 2010 International Joint Conference on Neural Networks (IJCNN). New York: IEEE, p. 1-8 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  6. Published

    Dynamic Model Selection and Combination in Forecasting: an Empirical Evaluation of Bagging and Boosting

    Barrow, D. & Crone, S., 2011.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

  7. Published

    How to boost for time series? An empirical evaluation of forecasting accuracy for meta-parameter choices in boosting

    Barrow, D. & Crone, S., 2012.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper

  8. Published

    Distributions of forecasting errors of forecast combinations: implications for inventory management

    Barrow, D. K. & Kourentzes, N., 07/2016, In: International Journal of Production Economics. 177, p. 24-33 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. Published

    A comparison of AdaBoost algorithms for time series forecast combination

    Barrow, D. K. & Crone, S. F. W. M., 1/10/2016, In: International Journal of Forecasting. 32, 4, p. 1103-1119 17 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  10. Published

    Cross-validation aggregation for combining autoregressive neural network forecasts

    Barrow, D. K. & Crone, S. F. W. M., 1/10/2016, In: International Journal of Forecasting. 32, 4, p. 1120-1137 18 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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