Autors: Koparanov, K. A., Antonova, E. V., Nakov, O. N., Minkovska, D. V., Georgiev, K. K., Stoyanova, L. Y.
Title: Input Data Time Range Impact on Forecast Quality Using Automated Procedures
Keywords: artificial intelligence; automated environments; financial t

References

    Issue

    11th International Scientific Conference on Computer Science, COMSCI 2023, 2023, Bulgaria, DOI: 10.1109/COMSCI59259.2023.10315938

    Цитирания (Citation/s):
    1. Robles K.P.V., Solmerin J.G., Pugat G.C.E., Monjardin C.E.F., A Review of the Advances and Emerging Approaches in Hydrological Forecasting: From Traditional to AI-Powered Models, 2026, Water Switzerland, issue 1, vol. 18, DOI 10.3390/w18010119, eissn 20734441 - 2026 - в издания, индексирани в Scopus

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus