Cappelletti, L.; Fontana, T.; Di Donato, G.W.; Di Tucci, L.; Casiraghi, E.; Valentini, G.
Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks—A Case Study on Genome Gap-Filling. Computers 2020, 9, 37.
https://doi.org/10.3390/computers9020037
AMA Style
Cappelletti L, Fontana T, Di Donato GW, Di Tucci L, Casiraghi E, Valentini G.
Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks—A Case Study on Genome Gap-Filling. Computers. 2020; 9(2):37.
https://doi.org/10.3390/computers9020037
Chicago/Turabian Style
Cappelletti, Luca, Tommaso Fontana, Guido Walter Di Donato, Lorenzo Di Tucci, Elena Casiraghi, and Giorgio Valentini.
2020. "Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks—A Case Study on Genome Gap-Filling" Computers 9, no. 2: 37.
https://doi.org/10.3390/computers9020037
APA Style
Cappelletti, L., Fontana, T., Di Donato, G. W., Di Tucci, L., Casiraghi, E., & Valentini, G.
(2020). Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks—A Case Study on Genome Gap-Filling. Computers, 9(2), 37.
https://doi.org/10.3390/computers9020037