A5101565327- Meta-analysis and systematic reviews
- Machine Learning in Healthcare
- Machine Learning and Data Classification
- Youth Development and Social Support
- Artificial Intelligence in Healthcare and Education
- Topic Modeling
- Scientific Computing and Data Management
- Machine Learning and Algorithms
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Anomaly Detection Techniques and Applications
- Community Health and Development
- Software Engineering Research
University of Michigan
2024
Utrecht University
2021
Hebei University of Technology
2009
To help researchers conduct a systematic review or meta-analysis as efficiently and transparently possible, we designed tool (ASReview) to accelerate the step of screening titles abstracts. For many tasks - including but not limited reviews meta-analyses scientific literature needs be checked systematically. Currently, scholars practitioners screen thousands studies by hand determine which include in their meta-analysis. This is error prone inefficient because extremely imbalanced data: only...
In machine vision and the vehicle recognition system, removal of moving shadows is a significant topic. this paper, we propose novel method to detect in traffic video sequences. Firstly, set regions are segmented from sequence using background subtraction technique. Secondly, fast normalized cross-correlation (FNCC) adopted grayscale By utilizing three sum-table schemes, FNCC algorithm dramatically reduces computational complexity compared traditional cross correlation (NCC) algorithm. And...
The rising prevalence of daily cannabis use among older adolescents and young adults in the United States has significant public health implications. As a result, more individuals may be seeking or need treatment for adverse outcomes (e.g., disorder) arising from excessive use. Our objective was to explore potential self-reported motives as foundation developing adaptive interventions tailored reduce consumption over time certain circumstances. We aimed understand how transitions these...