Luis Aguilar, L. Antonio Aguilar. Analysis of Encoder Representations as Features Using Sparse Autoencoders in Gradient Boosting and Ensemble Tree Models. In Guillermo Ricardo Simari, Eduardo Fermé, Flabio Gutiérrez Segura, José Antonio Rodríguez Melquiades, editors, Advances in Artificial Intelligence - IBERAMIA 2018 - 16th Ibero-American Conference on AI, Trujillo, Peru, November 13-16, 2018, Proceedings. Volume 11238 of Lecture Notes in Computer Science, pages 159-169, Springer, 2018. [doi]
@inproceedings{AguilarA18,
title = {Analysis of Encoder Representations as Features Using Sparse Autoencoders in Gradient Boosting and Ensemble Tree Models},
author = {Luis Aguilar and L. Antonio Aguilar},
year = {2018},
doi = {10.1007/978-3-030-03928-8_13},
url = {https://doi.org/10.1007/978-3-030-03928-8_13},
researchr = {https://researchr.org/publication/AguilarA18},
cites = {0},
citedby = {0},
pages = {159-169},
booktitle = {Advances in Artificial Intelligence - IBERAMIA 2018 - 16th Ibero-American Conference on AI, Trujillo, Peru, November 13-16, 2018, Proceedings},
editor = {Guillermo Ricardo Simari and Eduardo Fermé and Flabio Gutiérrez Segura and José Antonio Rodríguez Melquiades},
volume = {11238},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-03928-8},
}