BRESSANE A, EWBANK H und NEGRI RG, 2025. Ecology-informed symbolic machine learning: a methodological framework for classification of forest succession. Environmental monitoring and assessment. 29 November 2025. Vol. 197, no. 12, p. 1386-1386. DOI 10.1007/s10661-025-14836-3.
Elsevier - Harvard (with titles)Bressane A, Ewbank H, Negri RG, 2025. Ecology-informed symbolic machine learning: a methodological framework for classification of forest succession. Environmental monitoring and assessment 197, 1386-1386. https://doi.org/10.1007/s10661-025-14836-3
American Psychological Association 7th editionBressane A, Ewbank H, & Negri RG. (2025). Ecology-informed symbolic machine learning: a methodological framework for classification of forest succession. Environmental Monitoring and Assessment, 197(12), 1386-1386. https://doi.org/10.1007/s10661-025-14836-3
Springer - Basic (author-date)Bressane A, Ewbank H, Negri RG (2025) Ecology-informed symbolic machine learning: a methodological framework for classification of forest succession.. Environmental monitoring and assessment 197:1386-1386. https://doi.org/10.1007/s10661-025-14836-3
Juristische Zitierweise (Stüber) (Deutsch)Bressane A/ Ewbank H/ Negri RG, Ecology-informed symbolic machine learning: a methodological framework for classification of forest succession., Environmental monitoring and assessment 2025, 1386-1386.