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GayEtAl2021

D. Gay, A. Bondu, V. Lemaire, M. Boullé. Interpretable Feature Construction for Time Series Extrinsic Regression. In Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, K. Karlapalem, H. Cheng, N. Ramakrishnan, R.K. Agrawal, P.K. Reddy, J. Srivastava, T. Chakraborty (eds.), Lecture Notes in Computer Science, Volume 12712, Pages 804-816, 2021.

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BibTex Reference

@InProceedings{GayEtAl2021,
   Author = {Gay, D. and Bondu, A. and Lemaire, V. and Boullé, M.},
   Title = {Interpretable Feature Construction for Time Series Extrinsic Regression},
   BookTitle = {Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, {PAKDD} 2021},
   editor = {Karlapalem, K. and Cheng, H. and Ramakrishnan, N. and Agrawal, R.K. and Reddy, P.K. and Srivastava, J. and Chakraborty, T.},
   Volume = {12712},
   Pages = {804--816},
   Series = {Lecture Notes in Computer Science},
   Publisher = {Springer},
   Year = {2021}
}

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