Forecasting: theory and practice F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ... International Journal of Forecasting 38 (3), 705-871, 2022 | 612 | 2022 |
Neural network ensemble operators for time series forecasting N Kourentzes, DK Barrow, SF Crone Expert Systems with Applications 41 (9), 4235-4244, 2014 | 343 | 2014 |
The effect of positive feedback in a constraint-based intelligent tutoring system A Mitrovic, S Ohlsson, DK Barrow Computers & Education 60 (1), 264-272, 2013 | 141 | 2013 |
Distributions of forecasting errors of forecast combinations: implications for inventory management DK Barrow, N Kourentzes International Journal of Production Economics 177, 24-33, 2016 | 131 | 2016 |
Another look at forecast selection and combination: Evidence from forecast pooling N Kourentzes, D Barrow, F Petropoulos International Journal of Production Economics 209, 226-235, 2019 | 120 | 2019 |
Optimising forecasting models for inventory planning N Kourentzes, JR Trapero, DK Barrow International Journal of Production Economics 225, 107597, 2020 | 100 | 2020 |
Crogging (cross-validation aggregation) for forecasting—A novel algorithm of neural network ensembles on time series subsamples DK Barrow, SF Crone The 2013 international joint conference on neural networks (IJCNN), 1-8, 2013 | 82 | 2013 |
A comparison of AdaBoost algorithms for time series forecast combination DK Barrow, SF Crone International Journal of Forecasting 32 (4), 1103-1119, 2016 | 76 | 2016 |
Cross-validation aggregation for combining autoregressive neural network forecasts DK Barrow, SF Crone International Journal of Forecasting 32 (4), 1120-1137, 2016 | 76 | 2016 |
The impact of special days in call arrivals forecasting: A neural network approach to modelling special days D Barrow, N Kourentzes European Journal of Operational Research 264 (3), 967-977, 2018 | 68 | 2018 |
Demand forecasting by temporal aggregation: Using optimal or multiple aggregation levels? N Kourentzes, B Rostami-Tabar, DK Barrow Journal of Business Research 78, 1-9, 2017 | 65 | 2017 |
An evaluation of neural network ensembles and model selection for time series prediction DK Barrow, SF Crone, N Kourentzes The 2010 international joint conference on neural networks (IJCNN), 1-8, 2010 | 57 | 2010 |
Automatic robust estimation for exponential smoothing: Perspectives from statistics and machine learning D Barrow, N Kourentzes, R Sandberg, J Niklewski Expert Systems with Applications 160, 113637, 2020 | 53 | 2020 |
Forecasting intraday call arrivals using the seasonal moving average method DK Barrow Journal of Business Research 69 (12), 6088-6096, 2016 | 51 | 2016 |
Assessing the impact of positive feedback in constraint-based tutors D Barrow, A Mitrovic, S Ohlsson, M Grimley Intelligent Tutoring Systems: 9th International Conference, ITS 2008 …, 2008 | 39 | 2008 |
Dynamic model selection and combination in forecasting: An empirical evaluation of bagging and boosting D Barrow, S Crone Med. Phys 25, 435-443, 2011 | 2 | 2011 |
Active model combination: an evaluation and extension of bagging and boosting for time series forecasting DK Barrow Lancaster University, 2012 | 1 | 2012 |
Developing Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System D Barrow, A Mitrovic, J Holland, M Ali, N Kourentzes Forecasting 6 (1), 204-223, 2024 | | 2024 |
Acknowledgment to the Reviewers of Forecasting in 2022 AMA El-Sayed, I Uvarova, A Carioli, I Albarrán, A Tragaki, J Jung, ... | | 2023 |
Acknowledgment to the Reviewers of Forecasting in 2021 M Abolghasemi, P Giudici, MF Aguilar, T Górecki, G Alfian, NP Greis, ... | | 2022 |