Arthur Porto

Biology-guided machine learning for robust anatomical correspondence across biodiversity datasets

This paper introduces a biology-guided machine learning method for automated anatomical landmark transfer across diverse biological datasets, showing significant improvements in accuracy and robustness under severe perturbations.

Invasion of new adaptive zones retains telltale signs of directional selection at macroevolutionary scales in mammals

The paper examines directional selection during adaptive zone transitions in mammals, finding elevated evolutionary rates in most cases compared to genetic drift.

LizardMorph: A generalizable machine learning framework for automated anatomical landmark detection in digital images

LizardMorph automates anatomical landmark detection in biological images, achieving high accuracy and efficiency compared to manual methods.

Aposematic color patterns are the dominant axis of phenotypic diversification in Nymphalid butterflies

The paper uses computer vision to analyze wing color patterns in Nymphalid butterflies, finding that aposematism is the dominant axis of phenotypic diversification.

Appendometer: A system for simultaneous, high-throughput morphometry of Drosophila legs and wings

The paper introduces a high-throughput system for simultaneous morphometry of Drosophila legs and wings, showing similar evolutionary rates for wings and legs but higher allometric change in wings.

BioEncoder: a metric learning toolkit for comparative organismal biology

BioEncoder is a metric learning toolkit designed to improve image classification in biodiversity datasets by focusing on data point relationships rather than class separability.

DeepBryo: a web app for AI-assisted morphometric characterization of cheilostome bryozoans

DeepBryo is a web app that uses deep learning to automate morphometric analysis of cheilostome bryozoans, achieving high accuracy and reducing manual effort.

Morphological integration during postnatal ontogeny: implications for evolutionary biology

The paper examines how covariance patterns of phenotypes change during postnatal ontogeny in mammals and finds that these patterns stabilize after weaning, likely influenced by genetic processes.