Cancino-Villatoro, K., Castillo-Estrada, C., Juarez-Ramirez, R. und Solis, A.C. (2023) „Creation of Time Series Models based on Deep Learning for Generation of Probabilistic Forecasts Using Gluon TS and Python“, in. doi:10.1109/CONISOFT58849.2023.00041.
Chicago Manual of Style 17th edition (full note)Cancino-Villatoro, Karina, Christian Castillo-Estrada, Reyes Juarez-Ramirez, und Alfredo Castillo Solis. „Creation of Time Series Models Based on Deep Learning for Generation of Probabilistic Forecasts Using Gluon TS and Python“. In . https://doi.org/10.1109/CONISOFT58849.2023.00041.
American Psychological Association 7th editionCancino-Villatoro, K., Castillo-Estrada, C., Juarez-Ramirez, R., & Solis, A. C. (2023, November 6). Creation of Time Series Models based on Deep Learning for Generation of Probabilistic Forecasts Using Gluon TS and Python. https://doi.org/10.1109/CONISOFT58849.2023.00041
Modern Language Association 9th editionCancino-Villatoro, K., C. Castillo-Estrada, R. Juarez-Ramirez, und A. C. Solis. Creation of Time Series Models Based on Deep Learning for Generation of Probabilistic Forecasts Using Gluon TS and Python. 2023, https://doi.org/10.1109/CONISOFT58849.2023.00041.
ISO-690 (author-date, Deutsch)CANCINO-VILLATORO, Karina, Christian CASTILLO-ESTRADA, Reyes JUAREZ-RAMIREZ und Alfredo Castillo SOLIS, 2023. Creation of Time Series Models based on Deep Learning for Generation of Probabilistic Forecasts Using Gluon TS and Python. In: . 6 November 2023