An Ensemble Random Forest Algorithm for Insurance Big Data Analysis
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DOI: 10.1109/access.2017.2738069
Abstract: Due to the imbalanced distribution of business data, missing user features, and many other reasons, directly using big data techniques on realistic business data tends to deviate from the business goals. It is difficult to… read more here.
Keywords: ensemble random; algorithm; business data; insurance ... See more keywords
Ensemble of Random Binary Output Encoding for Adversarial Robustness
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2937604
Abstract: Despite the excellent classification performance, recent research has revealed that the Convolutional Neural Network (CNN) could be readily deceived by only the small adversarial perturbation. Its imperceptible to human eyes and transferability from one model… read more here.
Keywords: robustness; ensemble random; adversarial robustness; binary output ... See more keywords
Ensemble and Random RX With Multiple Features Anomaly Detector for Hyperspectral Image
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3167758
Abstract: Hyperspectral anomaly detection (HAD) has always been a hot topic in hyperspectral image (HSI) processing. The Reed-Xiaoli (RX) detector is one of the most widely used methods for HAD. However, most improved versions of RX… read more here.
Keywords: anomaly detector; random multiple; ensemble random; multiple features ... See more keywords