AI
Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion
A new approach has been proposed for efficiently approximating the Pareto set in large deep neural n...
AI
Your Turn: At Home Turning Angle Estimation for Parkinson's Disease Severity Assessment
Researchers have developed a deep learning-based approach to estimate the severity of Parkinson's Di...
AI
Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations & Unmeasurable Parameters
Researchers have developed a new framework for real-time monitoring of inaccessible locations and un...
AI
Improving Requirements Classification with SMOTE-Tomek Preprocessing
Researchers have proposed a new method for improving requirements classification in software enginee...
AI
Regressor-Guided Image Editing Shifts Emotion and Disengagement Timing in Social Media
Researchers have developed a method to edit images in a way that reduces the emo...
AI
HiFi-KPI: A Dataset for Hierarchical KPI Extraction from Earnings Filings
Researchers have created a large dataset called HiFi-KPI to help machines accura...
AI
ReynoldsFlow: Physics-Inspired Spatiotemporal Flow Representation for Video Understanding
Researchers have proposed a new approach to video understanding called ReynoldsF...
AI
Learning-Augmented Power System Operations: A Unified Optimization View
A new framework called Learning-Augmented Power System Operations (LAPSO) has be...