ISO-690 (author-date, English)

DE BERARDINIS, Jacopo, ZENG, Xiaojun und CANGELOSI, Angelo, 2022. Structural complexity in music modelling and generation with deep neural networks [online]. University of Manchester, 2022. Available from: https://ethos.bl.uk/Order Details.do?uin=uk.bl.ethos.854479

Elsevier - Harvard (with titles)

De Berardinis, J., Zeng, X., Cangelosi, A., 2022. Structural complexity in music modelling and generation with deep neural networks. University of Manchester, 2022.

American Psychological Association 7th edition

De Berardinis, J., Zeng, X., & Cangelosi, A. (2022). Structural complexity in music modelling and generation with deep neural networks. University of Manchester, 2022. https://ethos.bl.uk/Order Details.do?uin=uk.bl.ethos.854479

Springer - Basic (author-date)

De Berardinis J, Zeng X, Cangelosi A (2022) Structural complexity in music modelling and generation with deep neural networks. University of Manchester, 2022

Juristische Zitierweise (Stüber) (Deutsch)

De Berardinis, Jacopo/ Zeng, Xiaojun/ Cangelosi, Angelo, Structural complexity in music modelling and generation with deep neural networks, 2022.

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