2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2020
A Neural Network for Determination of Latent Dimensionality in Nonnegative Matrix Factorization
Benjamin T. Nebgen, Raviteja Vangara, Miguel A. Hombrados-Herrera +2
Non-negative Matrix Factorization (NMF) has proven to be a powerful unsupervised learning method for uncovering hidden features in complex and noisy data sets with applications in…
stat.ML2019★ 2 cited
Data Selection for Short Term load forecasting
Nestor Pereira, Miguel Angel Hombrados Herrera, Vanesssa Gómez-Verdejo +2
Power load forecast with Machine Learning is a fairly mature application of artificial intelligence and it is indispensable in operation, control and planning. Data selection techn…