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Publications & Outputs

  1. Virtual image pair-based spatio-temporal fusion

    Wang, Q., Tang, Y., Tong, X. & Atkinson, P. M., 17/11/2020, In : Remote Sensing of Environment. 249, 17 p., 112009.

    Research output: Contribution to journalJournal article

  2. Pantropical modelling of canopy functional traits using Sentinel-2 remote sensing data

    Aguirre-Gutiérrez, J., Rifai, S., Shenkin, A., Oliveras, I., Bentley, L. P., Svátek, M., Girardin, C. A. J., Both, S., Riutta, T., Berenguer, E., Kissling, W. D., Bauman, D., Raab, N., Moore, S., Farfan-Rios, W., Figueiredo, A. E. S., Reis, S. M., Ndong, J. E., Ondo, F. E., N'ssi Bengone, N. & 27 others, Mihindou, V., Moraes de Seixas, M. M., Adu-Bredu, S., Abernethy, K., Asner, G. P., Barlow, J., Burslem, D. F. R. P., Coomes, D. A., Cernusak, L. A., Dargie, G. C., Enquist, B. J., Ewers, R. M., Ferreira, J., Jeffery, K. J., Joly, C. A., Lewis, S. L., Marimon-Junior, B. H., Martin, R. E., Morandi, P. S., Phillips, O. L., Quesada, C. A., Salinas, N., Schwantes Marimon, B., Silman, M., Teh, Y. A., White, L. J. T. & Malhi, Y., 14/10/2020, In : Remote Sensing of Environment. 252, 112122 p., 18.

    Research output: Contribution to journalJournal article

  3. Big data analytics for short and medium-term electricity load forecasting using an AI techniques ensembler

    Ayub, N., Irfan, M., Awais, M., Ali, U., Ali, T., Hamdi, M., Alghamdi, A. & Muhammad, F., 5/10/2020, In : Energies. 13, 19, 21 p.

    Research output: Contribution to journalJournal article

  4. Optimising forecasting models for inventory planning

    Kourentzes, N., Trapero, J. R. & Barrow, D., 1/07/2020, In : International Journal of Production Economics. 225, 9 p., 107597.

    Research output: Contribution to journalJournal article

  5. Automatic robust estimation for exponential smoothing: Perspectives from statistics and machine learning

    Barrow, D., Kourentzes, N., Sandberg, R. & Niklewski, J., 15/06/2020, In : Expert Systems with Applications. 160, 14 p., 113637.

    Research output: Contribution to journalJournal article

  6. Towards short term electricity load forecasting using improved support vector machine and extreme learning machine

    Ahmad, W., Ayub, N., Ali, T., Irfan, M., Awais, M., Shiraz, M. & Glowacz, A., 5/06/2020, In : Energies. 13, 11, 17 p., 2907.

    Research output: Contribution to journalJournal article

  7. A new fuzzy time series method based on an ARMA-type recurrent Pi-Sigma artificial neural network

    Kocak, C., Dalar, A. Z., Yolcu, O. C., Bas, E. & Egrioglu, E., 1/06/2020, In : Soft Computing. 24, 11, p. 8243-8252 10 p.

    Research output: Contribution to journalJournal article

  8. Elucidate structure in intermittent demand series

    Kourentzes, N. & Athanasopoulos, G., 30/05/2020, In : European Journal of Operational Research. 288, 1, p. 141-152 12 p.

    Research output: Contribution to journalJournal article

  9. Retail sales forecasting with meta-learning

    Ma, S. & Fildes, R., 28/05/2020, In : European Journal of Operational Research. 288, 1, p. 111-128 18 p.

    Research output: Contribution to journalJournal article

  10. Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm

    Bas, E., Yolcu, U. & Egrioglu, E., 15/05/2020, In : Journal of Computational and Applied Mathematics. 370, 112656.

    Research output: Contribution to journalJournal article

  11. The Divination of Things by Things

    Akmal, H. A. & Coulton, P., 25/04/2020, CHI'20 : Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems Extended Abstracts. New York: ACM, 10 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

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