6 citations · 6 across the 5 of their papers we have counts for
4 papers · 1 filter
Structured Learning on Mapper Representations
George Babus, Farzana Nasrin
Modern machine learning (ML) methods are highly effective for prediction tasks, but many commonly used representations reduce complex data to fixed dimensional embeddings that may…
Stochastic Dynamics on Persistence Diagram Space via Reinforcement Learning
Farzana Nasrin
Persistence diagrams (PDs) provide stable and interpretable summaries of multiscale topological structure. While substantial progress has been made in the statistical analysis of P…
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…