7 citations · 20 across the 10 of their papers we have counts for
3 papers · 1 filter
LaFA: Latent Feature Attacks on Non-negative Matrix Factorization
Minh Vu, Ben Nebgen, Erik Skau +5
As Machine Learning (ML) applications rapidly grow, concerns about adversarial attacks compromising their reliability have gained significant attention. One unsupervised ML method…
Generating Hidden Markov Models from Process Models Through Nonnegative Tensor Factorization
Erik Skau, Andrew Hollis, Stephan Eidenbenz +2
Monitoring of industrial processes is a critical capability in industry and in government to ensure reliability of production cycles, quick emergency response, and national securit…
Determination of Latent Dimensionality in International Trade Flow
Duc P. Truong, Erik Skau, Vladimir I. Valtchinov +1
Currently, high-dimensional data is ubiquitous in data science, which necessitates the development of techniques to decompose and interpret such multidimensional (aka tensor) datas…