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Found 6 papers, 0 papers with code
Scalable 3D Reconstruction From Single Particle X-Ray Diffraction Images Based on Online Machine Learning
X-ray free-electron lasers (XFELs) offer unique capabilities for measuring the structure and dynamics of biomolecules, helping us understand the basic building blocks of life.
Querying Labelled Data with Scenario Programs for Sim-to-Real Validation
Simulation-based testing of autonomous vehicles (AVs) has become an essential complement to road testing to ensure safety.
A Scenario-Based Platform for Testing Autonomous Vehicle Behavior Prediction Models in Simulation
Hence, it is important that these prediction models are extensively tested in various test scenarios involving interactive behaviors prior to deployment.
R-SLAM: Optimizing Eye Tracking From Rolling Shutter Video of the Retina
We present a method for optimization-based recovery of eye motion from rolling shutter video of the retina.
A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving
In this paper, we present a platform to model dynamic and interactive scenarios, generate the scenarios in simulation with different modalities of labeled sensor data, and collect this information for data augmentation.
Optimization of Ensemble Supervised Learning Algorithms for Increased Sensitivity, Specificity, and AUC of Population-Based Colorectal Cancer Screenings
Stool DNA tests, the modern benchmark for CRC screening, have a much higher sensitivity and specificity, but also cost \$600, take two weeks to process, and are not for high-risk individuals or people with a history of polyps.
