Deep Learning for Crime Forecasting: The Role of Mobility at Fine-grained Spatiotemporal Scales
Fuente:
arXiv
Saved in:
| Main Authors: | Zumel, Ariadna Albors, Tizzoni, Michele, Campedelli, Gian Maria |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CrimeAlarm: Towards Intensive Intent Dynamics in Fine-grained Crime Prediction
by: Hu, Kaixi, et al.
Published: (2024)
by: Hu, Kaixi, et al.
Published: (2024)
Crime Forecasting: A Spatio-temporal Analysis with Deep Learning Models
by: Mao, Li, et al.
Published: (2025)
by: Mao, Li, et al.
Published: (2025)
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
by: Xu, Wanghan, et al.
Published: (2024)
by: Xu, Wanghan, et al.
Published: (2024)
M-STAR: Multi-Scale Spatiotemporal Autoregression for Human Mobility Modeling
by: Luo, Yuxiao, et al.
Published: (2025)
by: Luo, Yuxiao, et al.
Published: (2025)
A Criminology of Machines
by: Campedelli, Gian Maria
Published: (2025)
by: Campedelli, Gian Maria
Published: (2025)
Incident-Guided Spatiotemporal Traffic Forecasting
by: Fan, Lixiang, et al.
Published: (2026)
by: Fan, Lixiang, et al.
Published: (2026)
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling
by: Marisca, Ivan, et al.
Published: (2024)
by: Marisca, Ivan, et al.
Published: (2024)
Integer Scale: A Free Lunch for Faster Fine-grained Quantization of LLMs
by: Li, Qingyuan, et al.
Published: (2024)
by: Li, Qingyuan, et al.
Published: (2024)
Enhancing Epidemic Forecasting: Evaluating the Role of Mobility Data and Graph Convolutional Networks
by: Guo, Suhan, et al.
Published: (2025)
by: Guo, Suhan, et al.
Published: (2025)
Collaborative Deterministic-Probabilistic Forecasting for Diverse Spatiotemporal Systems
by: Sheng, Zhi, et al.
Published: (2025)
by: Sheng, Zhi, et al.
Published: (2025)
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities
by: He, Wenchong, et al.
Published: (2023)
by: He, Wenchong, et al.
Published: (2023)
Towards Batch-to-Streaming Deep Reinforcement Learning for Continuous Control
by: De Monte, Riccardo, et al.
Published: (2026)
by: De Monte, Riccardo, et al.
Published: (2026)
Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Generative World Models
by: Wu, Hao, et al.
Published: (2025)
by: Wu, Hao, et al.
Published: (2025)
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
by: Wang, Yu, et al.
Published: (2023)
by: Wang, Yu, et al.
Published: (2023)
S^2-KD: Semantic-Spectral Knowledge Distillation Spatiotemporal Forecasting
by: Wang, Wenshuo, et al.
Published: (2025)
by: Wang, Wenshuo, et al.
Published: (2025)
Error Adjustment Based on Spatiotemporal Correlation Fusion for Traffic Forecasting
by: Liu, Fuqiang, et al.
Published: (2025)
by: Liu, Fuqiang, et al.
Published: (2025)
Interpretable Air Pollution Forecasting by Physics-Guided Spatiotemporal Decoupling
by: Zhang, Zhiguo, et al.
Published: (2025)
by: Zhang, Zhiguo, et al.
Published: (2025)
A Survey on Deep Tabular Learning
by: Somvanshi, Shriyank, et al.
Published: (2024)
by: Somvanshi, Shriyank, et al.
Published: (2024)
Graph Deep Learning for Time Series Forecasting
by: Cini, Andrea, et al.
Published: (2023)
by: Cini, Andrea, et al.
Published: (2023)
Towards Explainable Anomaly Detection in Shared Mobility Systems
by: Isgandarov, Elnur, et al.
Published: (2025)
by: Isgandarov, Elnur, et al.
Published: (2025)
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
by: Cao, Lingxiao, et al.
Published: (2025)
by: Cao, Lingxiao, et al.
Published: (2025)
Hybrid Quantum-Classical Spatiotemporal Forecasting for 3D Cloud Fields
by: Wang, Fu, et al.
Published: (2026)
by: Wang, Fu, et al.
Published: (2026)
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024)
by: Wang, Hongjun, et al.
Published: (2024)
Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting
by: Pavlidis, Nikolaos, et al.
Published: (2024)
by: Pavlidis, Nikolaos, et al.
Published: (2024)
PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics
by: Wan, Han, et al.
Published: (2025)
by: Wan, Han, et al.
Published: (2025)
Deep Learning for Time Series Forecasting: A Survey
by: Kong, Xiangjie, et al.
Published: (2025)
by: Kong, Xiangjie, et al.
Published: (2025)
Counterfactual Explanations for Deep Learning-Based Traffic Forecasting
by: Wang, Rushan, et al.
Published: (2024)
by: Wang, Rushan, et al.
Published: (2024)
Integrating Spatiotemporal Features in LSTM for Spatially Informed COVID-19 Hospitalization Forecasting
by: Wang, Zhongying, et al.
Published: (2025)
by: Wang, Zhongying, et al.
Published: (2025)
PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting
by: Wu, Hao, et al.
Published: (2026)
by: Wu, Hao, et al.
Published: (2026)
Multimodal Fine-grained Reasoning for Post Quality Evaluation
by: Guo, Xiaoxu, et al.
Published: (2025)
by: Guo, Xiaoxu, et al.
Published: (2025)
HybridFL: A Federated Learning Approach for Financial Crime Detection
by: Khan, Afsana, et al.
Published: (2026)
by: Khan, Afsana, et al.
Published: (2026)
Deep Learning-driven Mobile Traffic Measurement Collection and Analysis
by: Fang, Yini
Published: (2024)
by: Fang, Yini
Published: (2024)
Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls
by: Liu, Sicong, et al.
Published: (2024)
by: Liu, Sicong, et al.
Published: (2024)
Improving the Fairness of Deep-Learning, Short-term Crime Prediction with Under-reporting-aware Models
by: Wu, Jiahui, et al.
Published: (2024)
by: Wu, Jiahui, et al.
Published: (2024)
Gains: Fine-grained Federated Domain Adaptation in Open Set
by: Zhong, Zhengyi, et al.
Published: (2025)
by: Zhong, Zhengyi, et al.
Published: (2025)
Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization
by: Zhang, Xuelin, et al.
Published: (2026)
by: Zhang, Xuelin, et al.
Published: (2026)
Dimensional Balance Improves Large Scale Spatiotemporal Prediction Performance
by: Chen, Jing, et al.
Published: (2026)
by: Chen, Jing, et al.
Published: (2026)
Recurrent Deep Reinforcement Learning for Chemotherapy Control under Partial Observability
by: Kiram, Firas Mohamed Elamine, et al.
Published: (2026)
by: Kiram, Firas Mohamed Elamine, et al.
Published: (2026)
Role-Aware Conditional Inference for Spatiotemporal Ecosystem Carbon Flux Prediction
by: Sun, Yiming, et al.
Published: (2026)
by: Sun, Yiming, et al.
Published: (2026)
A Causality-Aware Spatiotemporal Model for Multi-Region and Multi-Pollutant Air Quality Forecasting
by: Lu, Junxin, et al.
Published: (2025)
by: Lu, Junxin, et al.
Published: (2025)
Similar Items
-
CrimeAlarm: Towards Intensive Intent Dynamics in Fine-grained Crime Prediction
by: Hu, Kaixi, et al.
Published: (2024) -
Crime Forecasting: A Spatio-temporal Analysis with Deep Learning Models
by: Mao, Li, et al.
Published: (2025) -
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
by: Xu, Wanghan, et al.
Published: (2024) -
M-STAR: Multi-Scale Spatiotemporal Autoregression for Human Mobility Modeling
by: Luo, Yuxiao, et al.
Published: (2025) -
A Criminology of Machines
by: Campedelli, Gian Maria
Published: (2025)