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Found 5 papers, 2 papers with code
A Transformer-Based Framework for Payload Malware Detection and Classification
Techniques such as Deep Packet Inspection (DPI) have been introduced to allow IDSs analyze the content of network packets, providing more context for identifying potential threats.
A Hierarchical Deep Neural Network for Detecting Lines of Codes with Vulnerabilities
Software vulnerabilities, caused by unintentional flaws in source codes, are the main root cause of cyberattacks.
Real-Time Learning from An Expert in Deep Recommendation Systems with Marginal Distance Probability Distribution
Moreover, exercise recommendation systems are significantly different from streaming recommendation systems in that we are not able to collect click feedback from the participants in exercise recommendation systems.
Policy Augmentation: An Exploration Strategy for Faster Convergence of Deep Reinforcement Learning Algorithms
Despite advancements in deep reinforcement learning algorithms, developing an effective exploration strategy is still an open problem.
Physical Exercise Recommendation and Success Prediction Using Interconnected Recurrent Neural Networks
Unhealthy behaviors, e. g., physical inactivity and unhealthful food choice, are the primary healthcare cost drivers in developed countries.
