4 papers
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…
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…
Bayesian Topological Learning for Brain State Classification
Farzana Nasrin, Christopher Oballe, David L. Boothe +1
Investigation of human brain states through electroencephalograph (EEG) signals is a crucial step in human-machine communications. However, classifying and analyzing EEG signals ar…
A Bayesian Framework for Persistent Homology
Vasileios Maroulas, Farzana Nasrin, Christopher Oballe
Persistence diagrams offer a way to summarize topological and geometric properties latent in datasets. While several methods have been developed that utilize persistence diagrams i…