Search Results for author: Paul Samuel Ignacio

Found 2 papers, 0 papers with code

LUMAWIG: Un-bottling the bottleneck distance for zero dimensional persistence diagrams at scale

no code implementations NeurIPS Workshop TDA_and_Beyond 2020 Paul Samuel Ignacio, Jay-Anne Bulauan, David Uminsky

We present LUMÁWIG, a novel efficient algorithm to compute dimension zero bottleneck distance between two persistence diagrams of a specific kind which outperforms all other publicly available algorithm in runtime and accuracy.

Classification of Single-lead Electrocardiograms: TDA Informed Machine Learning

no code implementations25 Nov 2019 Paul Samuel Ignacio, David Uminsky, Christopher Dunstan, Esteban Escobar, Luke Trujillo

Atrial Fibrillation is a heart condition characterized by erratic heart rhythms caused by chaotic propagation of electrical impulses in the atria, leading to numerous health complications.

BIG-bench Machine Learning Classification +1

Cannot find the paper you are looking for? You can Submit a new open access paper.