most citedLearning from Imbalanced Multiclass Sequential Data Streams Using Dynamically Weighted Conditional Random Fields

2 citations · 2 across the 1 of their papers we have counts for

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cs.LG2016★ 2 cited

Learning from Imbalanced Multiclass Sequential Data Streams Using Dynamically Weighted Conditional Random Fields

Roberto L. Shinmoto Torres, Damith C. Ranasinghe, Qinfeng Shi +1

The present study introduces a method for improving the classification performance of imbalanced multiclass data streams from wireless body worn sensors. Data imbalance is an inher…