| Forecasting: theory and practice F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ... International Journal of Forecasting 38 (3), 705-871, 2022 | 897 | 2022 |
| Neural network ensemble operators for time series forecasting N Kourentzes, DK Barrow, SF Crone Expert Systems with Applications 41 (9), 4235-4244, 2014 | 371 | 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 | 146 | 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 | 143 | 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 | 138 | 2019 |
| Optimising forecasting models for inventory planning N Kourentzes, JR Trapero, DK Barrow International Journal of Production Economics 225, 107597, 2020 | 123 | 2020 |
| A comparison of AdaBoost algorithms for time series forecast combination DK Barrow, SF Crone International Journal of Forecasting 32 (4), 1103-1119, 2016 | 87 | 2016 |
| 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 | 85 | 2013 |
| Cross-validation aggregation for combining autoregressive neural network forecasts DK Barrow, SF Crone International Journal of Forecasting 32 (4), 1120-1137, 2016 | 81 | 2016 |
| 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 | 73 | 2017 |
| 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 | 71 | 2018 |
| 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 | 64 | 2020 |
| 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 | 58 | 2010 |
| Forecasting intraday call arrivals using the seasonal moving average method DK Barrow Journal of Business Research 69 (12), 6088-6096, 2016 | 56 | 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 | 46 | 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 |
| Forecasting With Random Arima: A Machine Learning Perspective D Barrow, N Kourentzes, YR Sagaert, I Svetunkov Proceedings of the 44th International Symposium on Forecasting, 2024 | | 2024 |
| Learning internationally from operations management experts DK Barrow Handbook on Teaching and Learning in Operations Management, 255-281, 2024 | | 2024 |
| 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 |
Nikolaos KourentzesUniversity of SkövdeΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα his.se