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Bayesian Topological Learning for Classifying the Structure of Biological Networks

https://doi.org/10.1214/21-BA1270

Maroulas, Vasileios; Micucci, Cassie Putman; Nasrin, Farzana (January 2021, Bayesian Analysis)
null (Ed.)
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Representation of molecular structures with persistent homology for machine learning applications in chemistry

https://doi.org/10.1038/s41467-020-17035-5

Townsend, Jacob; Micucci, Cassie Putman; Hymel, John H.; Maroulas, Vasileios; Vogiatzis, Konstantinos D. (December 2020, Nature Communications)

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Materials Fingerprinting Classification

https://doi.org/10.1016/j.cpc.2021.108019

Spannaus, Adam; Law, Kody J.H.; Luszczek, Piotr; Nasrin, Farzana; Micucci, Cassie Putman; Liaw, Peter K.; Santodonato, Louis J.; Keffer, David J.; Maroulas, Vasileios (September 2021, Computer Physics Communications)

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A stable cardinality distance for topological classification

https://doi.org/10.1007/s11634-019-00378-3

Maroulas, Vasileios; Micucci, Cassie Putman; Spannaus, Adam (January 2019, Advances in Data Analysis and Classification)

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