3 papers
cond-mat.mtrl-sci2021
Materials Fingerprinting Classification
Adam Spannaus, Kody J. H. Law, Piotr Luszczek +6
Significant progress in many classes of materials could be made with the availability of experimentally-derived large datasets composed of atomic identities and three-dimensional c…
stat.ML2020
Bayesian Topological Learning for Classifying the Structure of Biological Networks
Vasileios Maroulas, Cassie Putman Micucci, Farzana Nasrin
Actin cytoskeleton networks generate local topological signatures due to the natural variations in the number, size, and shape of holes of the networks. Persistent homology is a me…
stat.ML2018
A Stable Cardinality Distance for Topological Classification
Vasileios Maroulas, Cassie Putman Micucci, Adam Spannaus
This work incorporates topological features via persistence diagrams to classify point cloud data arising from materials science. Persistence diagrams are multisets summarizing the…