19 citations · 37 across the 6 of their papers we have counts for
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cs.LG2020★ 19 cited
Using LSTM and SARIMA Models to Forecast Cluster CPU Usage
Langston Nashold, Rayan Krishnan
As large scale cloud computing centers become more popular than individual servers, predicting future resource demand need has become an important problem. Forecasting resource nee…
eess.IV2020★ 16 cited
CheXphoto: 10,000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness
Nick A. Phillips, Pranav Rajpurkar, Mark Sabini +10
Clinical deployment of deep learning algorithms for chest x-ray interpretation requires a solution that can integrate into the vast spectrum of clinical workflows across the world.…