9 citations · 21 across the 9 of their papers we have counts for
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cs.LG2019
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting
Chaoyun Zhang, Marco Fiore, Iain Murray +1
This paper introduces CloudLSTM, a new branch of recurrent neural models tailored to forecasting over data streams generated by geospatial point-cloud sources. We design a Dynamic…
cs.LG2019★ 3 cited
Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories
Chaoyun Zhang, Marco Fiore, Paul Patras
Network slicing is increasingly used to partition network infrastructure between different mobile services. Precise service-wise mobile traffic forecasting becomes essential in thi…