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Faculty of Information Science and Engineering
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A novel Circadian Rhythm Score reveals that nearly all predictive power can be captured from multi-domain behaviors, transforming depression screening and intervention strategies.
FlowPipe achieves a remarkable 11.96% accuracy improvement and 12.5x faster training convergence for data preparation pipelines by leveraging LLMs and advanced flow generation techniques.
Ditching aggregated time series, AeroSense predicts air traffic flow with higher fidelity by directly modeling the dynamic set of individual aircraft states.
Forget generic image quality metrics – this underwater image enhancement method boosts downstream task performance by directly optimizing for the features that matter to semantic segmentation and object detection.