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Measuring the ability of lexicase selection to find obscure pathways to optimality., , and . GECCO Companion, page 21-22. ACM, (2022)A suite of diagnostic metrics for characterizing selection schemes., , and . CoRR, (2022)Untangling phylogenetic diversity's role in evolutionary computation using a suite of diagnostic fitness landscapes., , , and . GECCO Companion, page 2322-2325. ACM, (2022)Characterizing the Effects of Random Subsampling on Lexicase Selection., , , , , and . GPTP, page 1-23. Springer, (2019)Phylogenetic diversity predicts future success in evolutionary computation., , and . GECCO Companion, page 23-24. ACM, (2022)Random subsampling improves performance in lexicase selection., , , and . GECCO (Companion), page 2028-2031. ACM, (2019)An Exploration of Exploration: Measuring the ability of lexicase selection to find obscure pathways to optimality., , and . CoRR, (2021)What can phylogenetic metrics tell us about useful diversity in evolutionary algorithms?, , and . CoRR, (2021)Phylogeny-informed fitness estimation., , , and . CoRR, (2023)Reconocimiento de caracteres manuscritos a partir de señales EMG usando redes neuronales convolucionales y recurrentes de Elman., , , and . Res. Comput. Sci., 149 (8): 659-668 (2020)