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Found 4 papers, 1 papers with code
Geometric Constrained Non-Line-of-Sight Imaging
Normal reconstruction is crucial in non-line-of-sight (NLOS) imaging, as it provides key geometric and lighting information about hidden objects, which significantly improves reconstruction accuracy and scene understanding.
StatLLM: A Dataset for Evaluating the Performance of Large Language Models in Statistical Analysis
A major challenge in this evaluation lies in the absence of a benchmark dataset for statistical code (e. g., SAS and R).
Time-to-event modeling of subreddits transitions to r/SuicideWatch
Recent data mining research has focused on the analysis of social media text, content and networks to identify suicide ideation online.
Point Process Modeling of Drug Overdoses with Heterogeneous and Missing Data
We apply the algorithm to drug overdose data from Indianapolis, showing that the point process defined on the integrated data outperforms point processes that use only homogeneous EMS (AUC improvement . 72 to . 8) or coroner data (AUC improvement . 81 to . 85). We also investigate the extent to which overdoses are contagious, as a function of the type of overdose, while controlling for exogenous fluctuations in the background rate that might also contribute to clustering.
