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Found 6 papers, 2 papers with code
Characterizing Financial Market Coverage using Artificial Intelligence
This paper scrutinizes a database of over 4900 YouTube videos to characterize financial market coverage.
Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems
Our experiments suggest that the state-of-the-art algorithms used in this study are sensitive to data contamination and reveal the importance of self-defense against data perturbation when developing novel models, especially for intrusion detection systems.
A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms
Anomaly detection has many applications ranging from bank-fraud detection and cyber-threat detection to equipment maintenance and health monitoring.
Imagination-Augmented Deep Learning for Goal Recognition
Being able to infer the goal of people we observe, interact with, or read stories about is one of the hallmarks of human intelligence.
A Transfer Learning Method for Goal Recognition Exploiting Cross-Domain Spatial Features
The ability to infer the intentions of others, predict their goals, and deduce their plans are critical features for intelligent agents.
Cost-Based Goal Recognition Meets Deep Learning
The ability to observe the effects of actions performed by others and to infer their intent, most likely goals, or course of action, is known as a plan or intention recognition cognitive capability and has long been one of the fundamental research challenges in AI.
