Classification of Single-Lead Electrocardiograms: TDA Informed Machine Learning. - Paul Samuel Ignacio; Christopher Dunstan; Esteban Escobar; Luke Trujillo; David Uminsky 001 (ICMLA, 2019)

Tracing patterns and shapes in remittance and migration networks via persistent homology. - Paul Samuel Ignacio; Isabel K. Darcy (EPJ Data Sci., 2019)

A Topology Informed Random Forest Classifier for ECG Classification. - Paul Samuel Ignacio; Jay-Anne Bulauan; John Rick Manzanares (CinC, 2020)

Lumáwig: An Efficient Algorithm for Dimension Zero Bottleneck Distance Computation in Topological Data Analysis. - Paul Samuel Ignacio; Jay-Anne Bulauan; David Uminsky 001 (Algorithms, 2020)

Intrinsic Hierarchical Clustering Behavior Recovers Higher Dimensional Shape Information. - Paul Samuel Ignacio (CCWC, 2021)

Leveraging Period-Specific Variations in ECG Topology for Classification Tasks. - Paul Samuel Ignacio (CinC, 2021)

Stable Homology-Based Cycle Centrality Measures for Weighted Graphs. - John Rick Manzanares; Paul Samuel Ignacio (CoRR, 2022)

Detection of Fibrillatory Episodes in Atrial Fibrillation Rhythms via Topology-informed Machine Learning. - Paul Samuel Ignacio (ICMVA, 2023)