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  1. Published

    Making smart recommendations for perishable and stockout products

    Seymen, S., Sachs, A-L. & Malthouse, E. C., 18/09/2022. 16 p.

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

  2. Published

    Maximum Clusterability Divisive Clustering

    Hofmeyr, D. & Pavlidis, N. G., 7/12/2015, Computational Intelligence, 2015 IEEE Symposium Series on . Cape Town: IEEE, p. 780-786 7 p.

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

  3. Published

    Measuring forecasting accuracy: the case of judgmental adjustments to SKU-level demand forecasts

    Davydenko, A. & Fildes, R., 07/2013, In: International Journal of Forecasting. 29, 3, p. 510-522 13 p.

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

  4. Published

    Measuring residential internet service adoption patterns

    Robertson, A., Soopramanien, D. G. R. & Fildes, R. A., 2005, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  5. Published

    Measuring the Accuracy of Judgmental Adjustments to SKU-level Demand Forecasts

    Davydenko, A., Fildes, R. A. & Trapero Arenas, J. R., 2010, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  6. Published

    Measuring willingness to pay as a range, revisited: When should we care?

    Dost, F. & Wilken, R., 06/2012, In: International Journal of Research in Marketing. 29, 2, p. 148-166 19 p.

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

  7. Published

    Median-Pi artificial neural network for forecasting

    Egrioglu, E., Yolcu, U., Bas, E. & Dalar, A. Z., 18/01/2019, In: Neural Computing and Applications. 31, 1, p. 307-316 10 p.

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

  8. Published

    Meta-learning for Forecasting Model Selection

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

    Research output: Thesis › Doctoral Thesis

  9. Published

    Metric learning for simulation analytics

    Laidler, G., Morgan, L., Nelson, B. & Pavlidis, N., 18/12/2020, Proceedings of the 2020 Winter Simulation Conference. IEEE, p. 349-360 12 p.

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

  10. Published

    Minimum Density Hyperplanes

    Pavlidis, N. G., Hofmeyr, D. & Tasoulis, S., 28/09/2016, In: Journal of Machine Learning Research. 17, 156, p. 1-33 33 p.

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

  11. Published

    Minimum density hyperplanes in the feature space

    Yates, K. & Pavlidis, N. G., 11/02/2017, Big Data (Big Data), 2016 IEEE International Conference on. IEEE, p. 3613-3618 6 p.

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

  12. Published

    Minimum spectral connectivity projection pursuit: Divisive clustering using optimal projections for spectral clustering

    Hofmeyr, D., Pavlidis, N. G. & Eckley, I. A., 1/03/2019, In: Statistics and Computing. 29, 2, p. 391–414 24 p.

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

  13. Published

    Mining the past to forecast the future: comments

    Crone, S., 2009, In: International Journal of Forecasting. 25, 3, p. 456–460 5 p.

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

  14. Published

    Modeling brain wave data by using artificial neural networks

    Aladag, C. H., Egrioglu, E. & Kadilar, C., 23/04/2010, In: Hacettepe Journal of Mathematics and Statistics. 39, 1, p. 81-88 8 p.

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

  15. Published

    Modelling and inference for the travel times in vehicle routing problems

    Wright, C., 2019, Lancaster University. 267 p.

    Research output: Thesis › Doctoral Thesis

  16. Published

    Modelling and managing Supply Chain forecast uncertainty in the presence of the Bullwhip Effect

    Saoud, P., 2020, Lancaster University. 152 p.

    Research output: Thesis › Doctoral Thesis

  17. Published

    Modelling Deterministic Seasonality with Artificial Neural Networks for Time Series Forecasting

    Kourentzes, N. & Crone, S., 2010, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  18. Published

    Multi-agent modelling for revenue management

    Cleophas, C., 03/2012, In: Journal of Revenue and Pricing Management. 11, 2, p. 240-242 3 p.

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

  19. Published

    Multiplicative State-Space Models for Intermittent Time Series

    Svetunkov, I. & Boylan, J. E., 7/11/2017, Lancaster: Lancaster University Management School, 43 p.

    Research output: Working paper

  20. E-pub ahead of print

    Multi-step Estimators and Shrinkage Effect in Time Series Models

    Svetunkov, I., Kourentzes, N. & Killick, R., 24/06/2023, (E-pub ahead of print) In: Computational Statistics.

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

  21. Published

    Naive Support Vector Regression and Multilayer Perceptron Benchmarks for the 2010 Neural Network Grand Competition (NNGC) on Time Series Prediction

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

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

  22. Published

    Neural network ensemble operators for time series forecasting

    Kourentzes, N., Barrow, D. & Crone, S., 07/2014, In: Expert Systems with Applications. 41, 9, p. 4235-4244 10 p.

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

  23. Published

    Neuronale Netze zur Prognose und Disposition im Handel: Doktorarbeit, eingereicht an der Universität Hamburg

    Crone, S., 03/2010, Frankfurt a.M.: Gabler.

    Research output: Book/Report/Proceedings › Book

  24. Published

    New Classical Macroeconomics

    Peel, D., 1989, Current issues in macroeconomics. Greenaway, D. (ed.). London: Macmillan, p. 45-67 23 p. (Current Issues in Economics; vol. 2).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed)

  25. Published

    New self-adaptive probabilistic neural networks in bioinformatic and medical tasks

    Georgiou, V. L., Pavlidis, N., Parsopoulos, K. E., Alevizos, P. D. & Vrahatis, M. N., 06/2006, In: International Journal on Artificial Intelligence Tools. 15, 3, p. 371-396 26 p.

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

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