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Found 4 papers, 0 papers with code
Predicting Continuous Locomotion Modes via Multidimensional Feature Learning from sEMG
This term refers to the duration during which consistent and accurate predictions of mode transitions are made, measured from the time of the fifth correct prediction to the occurrence of the critical event leading to the task transition.
A novel DL approach to PE malware detection: exploring Glove vectorization, MCC_RCNN and feature fusion
In recent years, malware becomes more threatening.
Towards interpreting ML-based automated malware detection models: a survey
Then we investigate the interpretation methods towards malware detection, by addressing the importance of interpreting malware detectors, challenges faced by this field, solutions for migitating these challenges, and a new taxonomy for classifying all the state-of-the-art malware detection interpretability work in recent years.
Towards Interpretable Ensemble Learning for Image-based Malware Detection
Moreover, experiment results indicate that IEMD interpretability increases with the increasing detection accuracy during the construction of IEMD.
