FANG, Ruijie, ZHANG, Ruoyu, HOSSEINI, Elahe, FANG, Chongzhou, RAFATIRAD, Setareh und HOMAYOUN, Houman, 2023. Introducing an Open-Source Python Toolkit for Machine Learning Research in Physiological Signal based Affective Computing. In: . 5 Dezember 2023.
Elsevier - Harvard (with titles)Fang, R., Zhang, R., Hosseini, E., Fang, C., Rafatirad, S., Homayoun, H., 2023. Introducing an Open-Source Python Toolkit for Machine Learning Research in Physiological Signal based Affective Computing, in: . https://doi.org/10.1109/BIBM58861.2023.10385965
American Psychological Association 7th editionFang, R., Zhang, R., Hosseini, E., Fang, C., Rafatirad, S., & Homayoun, H. (2023, Dezember 5). Introducing an Open-Source Python Toolkit for Machine Learning Research in Physiological Signal based Affective Computing. https://doi.org/10.1109/BIBM58861.2023.10385965
Springer - Basic (author-date)Fang R, Zhang R, Hosseini E, Fang C, Rafatirad S, Homayoun H (2023) Introducing an Open-Source Python Toolkit for Machine Learning Research in Physiological Signal based Affective Computing
Juristische Zitierweise (Stüber) (Deutsch)Fang, Ruijie/ Zhang, Ruoyu/ Hosseini, Elahe/ Fang, Chongzhou/ Rafatirad, Setareh/ Homayoun, Houman, Introducing an Open-Source Python Toolkit for Machine Learning Research in Physiological Signal based Affective Computing, 2023, .