Souhaib Ben Taieb
Souhaib Ben Taieb
Associate Professor in Machine Learning, University of Mons, Belgium
Verified email at - Homepage
Cited by
Cited by
Machine learning strategies for time series forecasting
G Bontempi, S Ben Taieb, YA Le Borgne
Business Intelligence, 62-77, 2013
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
S Ben Taieb, G Bontempi, AF Atiya, A Sorjamaa
Expert systems with applications 39 (8), 7067-7083, 2012
Forecasting: theory and practice
F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ...
International Journal of Forecasting 38 (3), 705-871, 2022
A gradient boosting approach to the Kaggle load forecasting competition
S Ben Taieb, RJ Hyndman
International journal of forecasting 30 (2), 382-394, 2014
Multiple-output modeling for multi-step-ahead time series forecasting
S Ben Taieb, A Sorjamaa, G Bontempi
Neurocomputing 73 (10), 1950-1957, 2010
Forecasting uncertainty in electricity smart meter data by boosting additive quantile regression
SB Taieb, R Huser, RJ Hyndman, MG Genton
IEEE Transactions on Smart Grid 7 (5), 2448-2455, 2016
A Bias and Variance Analysis for Multistep-Ahead Time Series Forecasting
S Ben Taieb, AF Atiya
IEEE Transactions on Neural Networks and Learning Systems 27 (1), 62-76, 2015
Hierarchical probabilistic forecasting of electricity demand with smart meter data
SB Taieb, JW Taylor, RJ Hyndman
Journal of the American Statistical Association 116 (533), 27-43, 2021
Long-term prediction of time series by combining direct and mimo strategies
SB Taieb, G Bontempi, A Sorjamaa, A Lendasse
2009 International Joint Conference on Neural Networks, 3054-3061, 2009
Coherent probabilistic forecasts for hierarchical time series
SB Taieb, JW Taylor, RJ Hyndman
International Conference on Machine Learning, 3348-3357, 2017
Recursive and direct multi-step forecasting: the best of both worlds
S Ben Taieb, RJ Hyndman
Wroking paper, 2012
Conditionally dependent strategies for multiple-step-ahead prediction in local learning
G Bontempi, S Ben Taieb
International journal of forecasting 27 (3), 689-699, 2011
Boosting multi-step autoregressive forecasts
SB Taieb, R Hyndman
International conference on machine learning, 109-117, 2014
Regularized regression for hierarchical forecasting without unbiasedness conditions
S Ben Taieb, B Koo
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Machine learning strategies for multi-step-ahead time series forecasting
S Ben Taieb
Université Libre de Bruxelles, 2014
Regularization in hierarchical time series forecasting with application to electricity smart meter data
SB Taieb, J Yu, M Barreto, R Rajagopal
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Adaptive local learning techniques for multiple-step-ahead wind speed forecasting
A Vaccaro, G Bontempi, S Ben Taieb, D Villacci
Electric power systems research 83 (1), 129-135, 2012
A time series approach for profiling attack
L Lerman, G Bontempi, S Ben Taieb, O Markowitch
Security, Privacy, and Applied Cryptography Engineering, 75-94, 2013
Recursive multi-step time series forecasting by perturbing data
SB Taieb, G Bontempi
2011 IEEE 11th International Conference on Data Mining, 695-704, 2011
Decentralized energy and power estimation in solar-powered wireless sensor networks
AH Dehwah, SB Taieb, JS Shamma, CG Claudel
2015 International Conference on Distributed Computing in Sensor Systems …, 2015
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