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Persistence Landscapes—Implementing a Dataset Verification Method in Resource-S...
Branco, Sérgio; Dogruluk, Ertugrul; Carvalho, João G.; Reis, Marco S.; Cabral, JorgeAs more and more devices are being deployed across networks to gather data and use them to perform intelligent tasks, it is vital to have a tool to perform real-time data analysis. Data are the backbone of Machine Learning models, the core of intelligent systems. Therefore, verifying whether the data being gathered are similar to those used for model building is essential. One fantastic tool for the performance...
0-Dimensional Persistent Homology Analysis Implementation in Resource-Scarce Em...
Branco, Sérgio; Carvalho, João G.; Reis, Marco S.; Lopes, Nuno V.; Cabral, JorgePersistent Homology (PH) analysis is a powerful tool for understanding many relevant topological features from a given dataset. PH allows finding clusters, noise, and relevant connections in the dataset. Therefore, it can provide a better view of the problem and a way of perceiving if a given dataset is equal to another, if a given sample is relevant, and how the samples occupy the feature space. However, PH in...