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Research Output 2010 2017

  • 6 Conference Paper
  • 6 Article
  • 1 Chapter (Book)
  • 1 Review Article
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Conference Paper
2017

Coherent probabilistic forecasts for hierarchical time series

Taieb, S. B., Taylor, J. W. & Hyndman, R. J., 1 Jan 2017, Proceedings of the 34th International Conference on Machine Learning. Precup, D. & Teh, Y. W. (eds.). Massachusetts USA: Proceedings of Machine Learning Research (PMLR), p. 3348-3357 10 p. (Proceedings of Machine Learning Research; vol. 70).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Regularization in hierarchical time series forecasting with application to electricity smart meter data

Ben Taieb, S., Yu, J., Barreto, M. N. & Rajagopal, R., 2017, Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17). Singh, S. & Markovitch, S. (eds.). Palto Alto CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 4474-4480 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
2016

Sparse and smooth adjustments for coherent forecasts in temporal aggregation of time series

Ben Taieb, S., 2016, NIPS 2016 Time Series Workshop, 09 December 2016, Barcelona, Spain. Anava, O., Khaleghi, A., Cuturi, M., Kuznetsov, V. & Rakhlin, A. (eds.). USA: Proceedings of Machine Learning Research (PMLR), Vol. 55. 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
2014

Boosting multi-step autoregressive forecasts

Ben Taieb, S. & Hyndman, R. J., 2014, Proceedings of the 31st International Conference on Machine Learning. Xing, E. P. & Jebara, T. (eds.). International Machine Learning Society (IMLS), Vol. 32. 9 p. (Proceedings of Machine Learning Research; vol. 32).

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

2013

A time series approach for profiling attack

Lerman, L., Bontempi, G., Ben Taieb, S. & Markowitch, O., 2013, Security, Privacy, and Applied Cryptography Engineering: Third International Conference, SPACE 2013 Kharagpur, India, October 19-23, 2013 Proceedings. Gierlichs, B., Guilley, S. & Mukhopadhyay, D. (eds.). Berlin Germany: Springer, p. 75-94 20 p. (Lecture Notes in Computer Science; vol. 8204).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2011

Recursive multi-step time series forecasting by perturbing data

Taieb, S. B. & Bontempi, G., 2011, Proceedings - 11th IEEE International Conference on Data Mining, ICDM 2011. Cook, D., Pei, J., Wang, W., Zaiane, O. & Wu, X. (eds.). Piscataway NJ USA: IEEE Computer Society, p. 695-704 10 p. 6137274

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review