176 citations · 192 across the 6 of their papers we have counts for
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cs.LG2021
Task-Sensitive Concept Drift Detector with Constraint Embedding
Andrea Castellani, Sebastian Schmitt, Barbara Hammer
Detecting drifts in data is essential for machine learning applications, as changes in the statistics of processed data typically has a profound influence on the performance of tra…
cs.LG2021
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise
Andrea Castellani, Sebastian Schmitt, Barbara Hammer
In complex industrial settings, it is common practice to monitor the operation of machines in order to detect undesired states, adjust maintenance schedules, optimize system perfor…