Souhaib Ben Taieb

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Gianluca BontempiFull professor, Machine Learning Group, Université Libre de BruxellesDirección de correo verificada de ulb.ac.be
Rob J HyndmanProfessor of Statistics, Monash UniversityDirección de correo verificada de monash.edu
Amir AtiyaCairo UniversityDirección de correo verificada de alumni.caltech.edu
James W TaylorProfessor of Decision Science, Said Business School, University of OxfordDirección de correo verificada de sbs.ox.ac.uk
Yann-Aël Le BorgnePostDoc Researcher, Université Libre de Bruxelles, BelgiumDirección de correo verificada de ulb.ac.be
Marc G GentonAl-Khawarizmi Distinguished Professor of Statistics, KAUSTDirección de correo verificada de kaust.edu.sa
Raphaël HuserAssociate Professor, King Abdullah University of Science and Technology (KAUST)Dirección de correo verificada de kaust.edu.sa
Amaury LendasseUniversity of HoustonDirección de correo verificada de central.uh.edu
Victor DheurPhD student, University of Mons, BelgiumDirección de correo verificada de umons.ac.be
Tanguy BosserPhD candidate, University of MonsDirección de correo verificada de umons.ac.be
Bonsoo KooMonash UniversityDirección de correo verificada de monash.edu
Ram RajagopalAssociate Professor, Stanford UniversityDirección de correo verificada de stanford.edu
Jiafan YuWaymo LLCDirección de correo verificada de waymo.com
Alfredo VaccaroUniversità degli studi del SannioDirección de correo verificada de unisannio.it
Liran LermanUniversité libre de BruxellesDirección de correo verificada de lerman.be
Olivier MarkowitchUniversité Libre de Bruxelles, BelgiumDirección de correo verificada de ulb.be
Don VicendeseResearch FellowDirección de correo verificada de unimelb.edu.au
Jeff S. ShammaDepartment Head, Industrial and Systems Engineering, University of Illinois at Urbana ChampaignDirección de correo verificada de illinois.edu
Christian ClaudelUT AustinDirección de correo verificada de utexas.edu
Xiaochun MengSenior Lecturer (Associate Professor) in Finance, University of BathDirección de correo verificada de bath.ac.uk

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Souhaib Ben Taieb

MBZUAI, UMONS

Dirección de correo verificada de mbzuai.ac.ae - Página principal

Artificial intelligence Machine learning Statistics Forecasting Time series


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Machine learning strategies for time series forecasting G Bontempi, S Ben Taieb, YA Le Borgne Business Intelligence, 62-77, 2013	849	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	798	2012
Forecasting: theory and practice F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ... International Journal of Forecasting 38 (3), 705-871, 2022	790	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	360	2014
Multiple-output modeling for multi-step-ahead time series forecasting S Ben Taieb, A Sorjamaa, G Bontempi Neurocomputing 73 (10), 1950-1957, 2010	296	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	238	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	205	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	149	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	122	2009
Recursive and direct multi-step forecasting: the best of both worlds S Ben Taieb, RJ Hyndman Wroking paper, 2012	120*	2012
Coherent probabilistic forecasts for hierarchical time series SB Taieb, JW Taylor, RJ Hyndman International Conference on Machine Learning, 3348-3357, 2017	111	2017
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	98	2011
Regularized regression for hierarchical forecasting without unbiasedness conditions S Ben Taieb, B Koo Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019	60	2019
Boosting multi-step autoregressive forecasts SB Taieb, R Hyndman International conference on machine learning, 109-117, 2014	56	2014
Machine learning strategies for multi-step-ahead time series forecasting S Ben Taieb Université Libre de Bruxelles, 2014	47*	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	40	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	30	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	28	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	28	2011
Hospital characteristics, rather than surgical volume, predict length of stay following colorectal cancer surgery D Vicendese, L Te Marvelde, PD McNair, K Whitfield, DR English, ... Australian and New Zealand journal of public health 44 (1), 73-82, 2020	17	2020

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