2024/10/03 by Žliobaitė, Indrė
#Applications (stat.AP) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Populations and Evolution (q-bio.PE) #Quantitative Methods (q-bio.QM)
paper · doi:10.48550/arxiv.2410.02838
This extended abstract was presented at the Nectar Track of ECML PKDD 2024 in Vilnius, Lithuania. The content supplements a recently published paper "Laws of Macroevolutionary Expansion" in the Proceedings of the National Academy of Sciences (PNAS).