1 citations · 1 across the 4 of their papers we have counts for
4 papers
EMP: Effective Multidimensional Persistence for Graph Representation Learning
Ignacio Segovia-Dominguez, Yuzhou Chen, Cuneyt G. Akcora +4
Topological data analysis (TDA) is gaining prominence across a wide spectrum of machine learning tasks that spans from manifold learning to graph classification. A pivotal techniqu…
Learning on Health Fairness and Environmental Justice via Interactive Visualization
Abdullah-Al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee +5
This paper introduces an interactive visualization interface with a machine learning consensus analysis that enables the researchers to explore the impact of atmospheric and socioe…
Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity
Ignacio Segovia-Dominguez, Huikyo Lee, Zhiwei Zhen +5
As multiple adverse events in 2021 illustrated, virtually all aspects of our societal functioning -- from water and food security to energy supply to healthcare -- more than ever d…
Smart Vectorizations for Single and Multiparameter Persistence
Baris Coskunuzer, CUneyt Gurcan Akcora, Ignacio Segovia Dominguez +3
The machinery of topological data analysis becomes increasingly popular in a broad range of machine learning tasks, ranging from anomaly detection and manifold learning to graph cl…