Souhaib Ben Taieb
Souhaib Ben Taieb
Associate Professor in Machine Learning, University of Mons, Belgium
Verified email at umons.ac.be - Homepage
Title
Cited by
Cited by
Year
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
4162012
Machine learning strategies for time series forecasting
G Bontempi, S Ben Taieb, YA Le Borgne
Business Intelligence, 62-77, 2013
3982013
A gradient boosting approach to the Kaggle load forecasting competition
S Ben Taieb, RJ Hyndman
International journal of forecasting 30 (2), 382-394, 2014
2392014
Multiple-output modeling for multi-step-ahead time series forecasting
S Ben Taieb, A Sorjamaa, G Bontempi
Neurocomputing 73 (10), 1950-1957, 2010
1762010
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
1572016
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
1002015
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
742009
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
662011
Coherent probabilistic forecasts for hierarchical time series
SB Taieb, JW Taylor, RJ Hyndman
International Conference on Machine Learning, 3348-3357, 2017
492017
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
472021
Recursive and direct multi-step forecasting: the best of both worlds
S Ben Taieb, RJ Hyndman
Wroking paper, 2012
41*2012
Boosting multi-step autoregressive forecasts
SB Taieb, R Hyndman
International conference on machine learning, 109-117, 2014
352014
Machine learning strategies for multi-step-ahead time series forecasting
S Ben Taieb
Universitť Libre de Bruxelles, 2014
30*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
262017
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
232012
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
222013
Regularized regression for hierarchical forecasting without unbiasedness conditions
S Ben Taieb, B Koo
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge†…, 2019
132019
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
132015
Recursive multi-step time series forecasting by perturbing data
SB Taieb, G Bontempi
2011 IEEE 11th International Conference on Data Mining, 695-704, 2011
102011
Hospital characteristics, rather than surgical volume, predict length of stay following colorectal cancer surgery
D Vicendese, LT Marvelde, PD McNair, K Whitfield, DR English, SB Taieb, ...
Australian and New Zealand journal of public health 44 (1), 73-82, 2020
32020
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