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References from Reconstruction-aware urban crime analytics from incomplete judicial records using heterogeneous graph temporal imputation. Local targets link to admitted publications; unresolved targets remain external evidence.
“LeGen: complex information extraction from legal sentences using generative models,”
10.18653/v1/2024.nllp-1.1 · 2024 · External reference
“XGBoost: a scalable tree boosting system,”
10.1145/2939672.2939785 · 2016 · External reference
“Filling the gaps: multivariate time series imputation by graph neural networks,”
2022 · External reference
Large language models in legal systems: a survey
10.1057/s41599-025-05924-3 · 2025 · External reference
Exploring influences on the intention of motorcyclists to drink and ride: an investigation in a fourth-tier city of China
10.1080/15389588.2022.2159763 · 2023 · External reference
A comprehensive analysis of contributing factors in bus crashes: integrating passenger injury severity and vehicle damage severity using the Frank copula model
10.1016/j.aap.2026.108552 · 2026 · External reference
A systematic review of multi-scale spatiotemporal crime prediction methods
10.3390/ijgi12060209 · 2023 · External reference
“Heterogeneous graph transformer,”
10.1145/3366423.3380027 · 2020 · External reference
Machine learning in crime prediction
10.1007/s12652-023-04530-y · 2023 · External reference
Determinants of autonomous vehicle crashes in high-risk scenarios: a novel crash analysis framework
10.1007/s42154-025-00376-6 · 2026 · External reference
Analysis of dynamic determinants of vehicles involved in crash affecting severity based on in-depth crash data
10.1080/15389588.2024.2312517 · 2024 · External reference
Zone-specific real-time traffic conflict risk modeling for freeway tunnels: a CrossTabNet approach
10.1016/j.aap.2025.108274 · 2025 · External reference
TMF-GNN: Temporal matrix factorization-based graph neural network for multivariate time series forecasting with missing values
10.1016/j.eswa.2025.127001 · 2025 · External reference
A systematic review on spatial crime forecasting
10.1186/s40163-020-00116-7 · 2020 · External reference
A survey on challenges and advances in natural language processing with a focus on legal informatics and low-resource languages
10.3390/electronics13030648 · 2024 · External reference
A test of missing completely at random for multivariate data with missing values
10.1080/01621459.1988.10478722 · 1988 · External reference
“A unified approach to interpreting model predictions,”
2017 · External reference
Spatiotemporal analysis of urban traffic crash risk using a bagging-optimized dynamic mode decomposition framework
10.1080/15389588.2026.2654184 · 2026 · External reference
“Learning to reconstruct missing data from spatiotemporal graphs with sparse observations,”
10.52202/068431-2324 · 2022 · External reference
Inference and missing data
10.1093/biomet/63.3.581 · 1976 · External reference
“Modeling relational data with graph convolutional networks,”
10.1007/978-3-319-93417-4_38 · 2018 · External reference
Missing value estimation methods for DNA microarrays
10.1093/bioinformatics/17.6.520 · 2001 · External reference
Unresolved reference
2025 · External reference
mice: Multivariate imputation by chained equations in R
10.18637/jss.v045.i03 · 2011 · External reference
“Heterogeneous graph attention network,”
10.1145/3308558.3313562 · 2019 · External reference
“GAIN: missing data imputation using generative adversarial nets,”
2018 · External reference
Interpretable machine learning models for crime prediction
10.1016/j.compenvurbsys.2022.101789 · 2022 · External reference
10.18653/v1/2020.acl-main.466
10.18653/v1/2020.acl-main.466 · 2020 · External reference
Exploring the macro economic and transport influencing factors of urban public transport mode share: A Bayesian structural equation model approach
10.3390/su15032563 · 2023 · External reference