2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.NI2024★ 1 cited
Liquid Neural Network-based Adaptive Learning vs. Incremental Learning for Link Load Prediction amid Concept Drift due to Network Failures
Omran Ayoub, Davide Andreoletti, Aleksandra Knapińska +6
Adapting to concept drift is a challenging task in machine learning, which is usually tackled using incremental learning techniques that periodically re-fit a learning model levera…
cs.NI2024★ 2 cited
Traffic Weaver: semi-synthetic time-varying traffic generator based on averaged time series
Piotr Lechowicz, Aleksandra Knapińska, Adam Włodarczyk +1
Traffic Weaver is a Python package developed to generate a semi-synthetic signal (time series) with finer granularity, based on averaged time series, in a manner that, upon averagi…