80 citations · 106 across the 4 of their papers we have counts for
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cs.LG2019★ 19 cited
A Study of Deep Learning for Network Traffic Data Forecasting
Benedikt Pfülb, Christoph Hardegen, Alexander Gepperth +1
We present a study of deep learning applied to the domain of network traffic data forecasting. This is a very important ingredient for network traffic engineering, e.g., intelligen…
cs.LG2019★ 80 cited
A comprehensive, application-oriented study of catastrophic forgetting in DNNs
B. Pfülb, A. Gepperth
We present a large-scale empirical study of catastrophic forgetting (CF) in modern Deep Neural Network (DNN) models that perform sequential (or: incremental) learning. A new experi…