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MCFEND: A Multi-source Benchmark Dataset for Chinese Fake News Detection
In addition, various existing Chinese fake news detection methods are thoroughly evaluated on our proposed dataset in cross-source, multi-source, and unseen source ways.
Novel models for fatigue life prediction under wideband random loads based on machine learning
Machine learning as a data-driven solution has been widely applied in the field of fatigue lifetime prediction.
Automatic Procurement Fraud Detection with Machine Learning
Although procurement fraud is always a critical problem in almost every free market, audit departments still have a strong reliance on reporting from informed sources when detecting them.
DASZL: Dynamic Action Signatures for Zero-shot Learning
There are many realistic applications of activity recognition where the set of potential activity descriptions is combinatorially large.
A Unified Framework for Multi-View Multi-Class Object Pose Estimation
To learn discriminative pose features, we integrate three new capabilities into a deep Convolutional Neural Network (CNN): an inference scheme that combines both classification and pose regression based on a uniform tessellation of the Special Euclidean group in three dimensions (SE(3)), the fusion of class priors into the training process via a tiled class map, and an additional regularization using deep supervision with an object mask.
