Victoria Ruíz, Maria T. Gonzalez de Lena, Jorge Sueiras, Ángel Sánchez, José F. Vélez. A Deep Learning Approach to Handwritten Number Recognition. In José Manuel Ferrández de Vicente, José Ramón Álvarez Sánchez, Félix de la Paz López, F. Javier Toledo-Moreo, Hojjat Adeli, editors, Biomedical Applications Based on Natural and Artificial Computing - International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Corunna, Spain, June 19-23, 2017, Proceedings, Part II. Volume 10338 of Lecture Notes in Computer Science, pages 193-202, Springer, 2017. [doi]
@inproceedings{RuizLSSV17,
title = {A Deep Learning Approach to Handwritten Number Recognition},
author = {Victoria Ruíz and Maria T. Gonzalez de Lena and Jorge Sueiras and Ángel Sánchez and José F. Vélez},
year = {2017},
doi = {10.1007/978-3-319-59773-7_20},
url = {https://doi.org/10.1007/978-3-319-59773-7_20},
researchr = {https://researchr.org/publication/RuizLSSV17},
cites = {0},
citedby = {0},
pages = {193-202},
booktitle = {Biomedical Applications Based on Natural and Artificial Computing - International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Corunna, Spain, June 19-23, 2017, Proceedings, Part II},
editor = {José Manuel Ferrández de Vicente and José Ramón Álvarez Sánchez and Félix de la Paz López and F. Javier Toledo-Moreo and Hojjat Adeli},
volume = {10338},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-59773-7},
}