Citations refer to the original publication, not to a Scieee localized version.
Wasserbacher, H., & Spindler, M. (2021). Machine learning for financial forecasting, planning and analysis: recent developments and pitfalls. Digital Finance, 4(1), 63–88. https://doi.org/10.1007/s42521-021-00046-2
Wasserbacher, Helmut, and Martin Spindler. “Machine learning for financial forecasting, planning and analysis: recent developments and pitfalls.” Digital Finance, vol. 4, no. 1, 2021, pp. 63–88. https://doi.org/10.1007/s42521-021-00046-2.
Wasserbacher, Helmut, and Martin Spindler. “Machine learning for financial forecasting, planning and analysis: recent developments and pitfalls.” Digital Finance 4, no. 1 (2021): 63–88. https://doi.org/10.1007/s42521-021-00046-2.
Wasserbacher, H. and Spindler, M. (2021) ‘Machine learning for financial forecasting, planning and analysis: recent developments and pitfalls’, Digital Finance, 4(1), pp. 63–88. Available at: https://doi.org/10.1007/s42521-021-00046-2.
H. Wasserbacher and M. Spindler, “Machine learning for financial forecasting, planning and analysis: recent developments and pitfalls,” Digital Finance, vol. 4, no. 1, pp. 63–88, 2021, doi: 10.1007/s42521-021-00046-2.
@article{wasserbacher2021machine,
author = {Wasserbacher, Helmut and Spindler, Martin},
title = {Machine learning for financial forecasting, planning and analysis: recent developments and pitfalls},
journal = {Digital Finance},
year = {2021},
volume = {4},
number = {1},
pages = {63--88},
publisher = {Cham: Springer International Publishing,Cham: Springer International Publishing},
doi = {10.1007/s42521-021-00046-2},
url = {https://doi.org/10.1007/s42521-021-00046-2}
}
