614 citations · 1.8k across the 62 of their papers we have counts for
6 papers · 1 filter
Deep Learning for Real-Time Crime Forecasting and its Ternarization
Bao Wang, Penghang Yin, Andrea L. Bertozzi +3
Real-time crime forecasting is important. However, accurate prediction of when and where the next crime will happen is difficult. No known physical model provides a reasonable appr…
Deep Learning for Real Time Crime Forecasting
Bao Wang, Duo Zhang, Duanhao Zhang +2
Accurate real time crime prediction is a fundamental issue for public safety, but remains a challenging problem for the scientific community. Crime occurrences depend on many compl…
Simplified Energy Landscape for Modularity Using Total Variation
Zachary Boyd, Egil Bae, Xue-Cheng Tai +1
Networks capture pairwise interactions between entities and are frequently used in applications such as social networks, food networks, and protein interaction networks, to name a…
Unsupervised record matching with noisy and incomplete data
Yves van Gennip, Blake Hunter, Anna Ma +3
We consider the problem of duplicate detection in noisy and incomplete data: given a large data set in which each record has multiple entries (attributes), detect which distinct re…
Uncertainty quantification in graph-based classification of high dimensional data
Andrea L. Bertozzi, Xiyang Luo, Andrew M. Stuart +1
Classification of high dimensional data finds wide-ranging applications. In many of these applications equipping the resulting classification with a measure of uncertainty may be a…
Crime Topic Modeling
Da Kuang, P. Jeffrey Brantingham, Andrea L. Bertozzi
The classification of crime into discrete categories entails a massive loss of information. Crimes emerge out of a complex mix of behaviors and situations, yet most of these detail…