Epistemic defenses against scientific and empirical adversarial AI attacks

Orthogonality-based disentanglement of responsibilities for ethical intelligent systems

Hybrid Strategies Towards Safe “Self-Aware” Superintelligent Systems

Telling autonomous systems what to do

Improvement of Network Performance by In-Vehicle Routing Using Floating Car Data

Designing on-demand education for simultaneous development of domain-specific and self-directed learning skills

The effect of inaccurate traffic data for ramp metering: Comparing loop detectors and cameras using information utility

Efficient abstraction selection in reinforcement learning

Switching between Representations in Reinforcement Learning

An improved method for creating shared belief in communication constrained sensor networks

Radon transforms and time-frequency representations for ISAR motion compensation and imaging