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Found 10 papers, 3 papers with code
Inadequacy of common stochastic neural networks for reliable clinical decision support
In both methods, unsubstantiated model confidence is not prevented due to strongly biased functional posteriors, rendering them inappropriate for reliable clinical decision support.
Scope Compliance Uncertainty Estimate
The zeitgeist of the digital era has been dominated by an expanding integration of Artificial Intelligence~(AI) in a plethora of applications across various domains.
On Explainability in AI-Solutions: A Cross-Domain Survey
It shows that the heterogeneity of reasons and methods of and for explainability lead to individual explanatory frameworks.
Keep your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring
Limitations in setting SafeML up properly include the lack of a systematic approach for determining, for a given application, how many operational samples are needed to yield reliable distance information as well as to determine an appropriate distance threshold.
StaDRe and StaDRo: Reliability and Robustness Estimation of ML-based Forecasting using Statistical Distance Measures
This work focuses on the use of SafeML for time series data, and on reliability and robustness estimation of ML-forecasting methods using statistical distance measures.
A Qualitative Empirical Analysis of Human Post-Exploitation Behavior
Honeypots are a well-studied defensive measure in network security.
Cryptography and Security Computer Science and Game Theory
Towards Fully Environment-Aware UAVs: Real-Time Path Planning with Online 3D Wind Field Prediction in Complex Terrain
Overall, our initial research demonstrates the feasibility of 3D wind field prediction from a UAV and the advantages of wind-aware planning.
Feasibility of Corneal Imaging for Handheld Augmented Reality
Smartphones are a popular device class for mobile Augmented Reality but suffer from a limited input space.
Towards Around-Device Interaction using Corneal Imaging
Around-device interaction techniques aim at extending the input space using various sensing modalities on mobile and wearable devices.
AVATecH --- automated annotation through audio and video analysis
In different fields of the humanities annotations of multimodal resources are a necessary component of the research workflow.
