US Patent Issued to NEC on Feb. 3 for "Diversity-aware weighted majority vote classifier for decision making on imbalanced datasets" (German Inventors)

ALEXANDRIA, Va., Feb. 3 -- United States Patent no. 12,541,957, issued on Feb. 3, was assigned to NEC Corp. (Tokyo).

"Diversity-aware weighted majority vote classifier for decision making on imbalanced datasets" was invented by Anil Goyal (Heidelberg, Germany) and Jihed Khiari (Heidelberg, Germany).

According to the abstract* released by the U.S. Patent & Trademark Office: "An ensemble learning based method is for a binary classification on an imbalanced dataset. The imbalanced dataset has a minority class comprising positive samples and a majority class comprising negative samples. The method includes: generatively oversampling the imbalanced dataset by synthetically generating minority class examples, thereby generating a generated data...