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Crime Prediction

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Showing 1–47 of 47 papers

TitleStatusHype
Spatio-Temporal Meta Contrastive LearningCode1
Crime Prediction with Graph Neural Networks and Multivariate Normal DistributionsCode1
Explainable Spatio-Temporal Graph Neural NetworksCode1
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime PredictionCode1
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation LearningCode1
Multi-Graph Fusion Networks for Urban Region EmbeddingCode1
San Francisco Crime ClassificationCode0
AIST: An Interpretable Attention-based Deep Learning Model for Crime PredictionCode0
Multi-axis Attentive Prediction for Sparse EventData: An Application to Crime PredictionCode0
Innovative LSGTime Model for Crime Spatiotemporal Prediction Based on MindSpore FrameworkCode0
Crime Prediction Based On Crime Types And Using Spatial And Temporal Criminal HotspotsCode0
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural NetworksCode0
Criminal Investigation Tracker with Suspect Prediction using Machine Learning—0
Deep Learning Based Crime Prediction Models: Experiments and Analysis—0
Deep Learning for Real Time Crime Forecasting—0
Enhanced Urban Region Profiling with Adversarial Self-Supervised Learning for Robust Forecasting and Security—0
Examining Deep Learning Architectures for Crime Classification and Prediction—0
Forecasting Crime with Deep Learning—0
Graph Masked Autoencoder for Spatio-Temporal Graph Learning—0
A Comparative Study on Crime in Denver City Based on Machine Learning and Data Mining—0
Improving the Fairness of Deep-Learning, Short-term Crime Prediction with Under-reporting-aware Models—0
Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness—0
Modeling of Spatio-Temporal Hawkes Processes with Randomized Kernels—0
Network-Based Transfer Learning Helps Improve Short-Term Crime Prediction Accuracy—0
Predicting Crime Using Spatial Features—0
Protecting the Protected Group: Circumventing Harmful Fairness—0
Ranking the locations and predicting future crime occurrence by retrieving news from different Bangla online newspapers—0
Spatial-Temporal Meta-path Guided Explainable Crime Prediction—0
Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction—0
Spatiotemporal and Semantic Zero-inflated Urban Anomaly Prediction—0
Time-series Crime Prediction Across the United States Based on Socioeconomic and Political Factors—0
Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks—0
Unsupervised Learning of Parsimonious General-Purpose Embeddings for User and Location Modelling—0
Urban Region Representation Learning: A Flexible Approach—0
Visual Analysis of Discrimination in Machine Learning—0
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting—0
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution—0
Analyzing the Impact of Foursquare and Streetlight Data with Human Demographics on Future Crime Prediction—0
Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training—0
Counterfactual Explanations Can Be Manipulated—0
CrimeAlarm: Towards Intensive Intent Dynamics in Fine-grained Crime Prediction—0
Crime prediction through urban metrics and statistical learning—0
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions—0
Crime Prediction using Machine Learning with a Novel Crime Dataset—0
Crime Prediction Using Multiple-ANFIS Architecture and Spatiotemporal Data—0
Crime Prediction Using Spatio-Temporal Data—0
Crime scene classification from skeletal trajectory analysis in surveillance settings—0
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