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
2872012
Machine learning strategies for time series forecasting
G Bontempi, S Ben Taieb, YA Le Borgne
Business Intelligence, 62-77, 2013
2382013
A gradient boosting approach to the Kaggle load forecasting competition
S Ben Taieb, RJ Hyndman
International journal of forecasting 30 (2), 382-394, 2014
1732014
Multiple-output modeling for multi-step-ahead time series forecasting
S Ben Taieb, A Sorjamaa, G Bontempi
Neurocomputing 73 (10), 1950-1957, 2010
1282010
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
1082016
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
652009
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
602011
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
582015
Coherent probabilistic forecasts for hierarchical time series
SB Taieb, JW Taylor, RJ Hyndman
International Conference on Machine Learning, 3348-3357, 2017
352017
Boosting multi-step autoregressive forecasts
SB Taieb, R Hyndman
International Conference on Machine Learning, 109-117, 2014
302014
Recursive and direct multi-step forecasting: the best of both worlds
S Ben Taieb, RJ Hyndman
Wroking paper, 2012
24*2012
Machine learning strategies for multi-step-ahead time series forecasting
S Ben Taieb
Universitť Libre de Bruxelles, 2014
20*2014
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
192013
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
192012
Regularization in hierarchical time series forecasting with application to electricity smart meter data
SB Taieb, J Yu, MN Barreto, R Rajagopal
Thirty-First AAAI Conference on Artificial Intelligence, 2017
182017
Hierarchical probabilistic forecasting of electricity demand with smart meter data
SB Taieb, JW Taylor, RJ Hyndman
Journal of the American Statistical Association, 1-17, 2020
172020
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
62011
Regularized regression for hierarchical forecasting without unbiasedness conditions
S Ben Taieb, B Koo
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge†…, 2019
22019
Sparse and smooth adjustments for coherent forecasts in temporal aggregation of time series
SB Taieb
NIPS 2016 Time Series Workshop, 16-26, 2017
12017
The system can't perform the operation now. Try again later.
Articles 1–20