Predicting Traffic Accident Severity with Deep Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Bibb, Meghan, Rivas, Pablo, Tayba, Mahee |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification
by: Alagöz, Celal, et al.
Published: (2026)
by: Alagöz, Celal, et al.
Published: (2026)
Flood Risk Follows Valleys, Not Grids: Graph Neural Networks for Flash Flood Susceptibility Mapping in Himachal Pradesh with Conformal Uncertainty Quantification
by: Sharma, Paras, et al.
Published: (2026)
by: Sharma, Paras, et al.
Published: (2026)
A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification
by: Ojeda, Sebastian, et al.
Published: (2025)
by: Ojeda, Sebastian, et al.
Published: (2025)
TED++: Submanifold-Aware Backdoor Detection via Layerwise Tubular-Neighbourhood Screening
by: Le, Nam, et al.
Published: (2025)
by: Le, Nam, et al.
Published: (2025)
Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights
by: Abedinia, Aydin, et al.
Published: (2025)
by: Abedinia, Aydin, et al.
Published: (2025)
Robust Probabilistic Load Forecasting for a Single Household: A Comparative Study from SARIMA to Transformers on the REFIT Dataset
by: Manoj, Midhun
Published: (2025)
by: Manoj, Midhun
Published: (2025)
Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach
by: Sarabi, Ali, et al.
Published: (2025)
by: Sarabi, Ali, et al.
Published: (2025)
Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
by: Wibbeke, Jelke, et al.
Published: (2025)
by: Wibbeke, Jelke, et al.
Published: (2025)
Out-of-Distribution Detection via Channelwise Feature Aggregation in Neural Network-Based Receivers
by: Tuononen, Marko, et al.
Published: (2025)
by: Tuononen, Marko, et al.
Published: (2025)
Intra-tree Column Subsampling Hinders XGBoost Learning of Ratio-like Interactions
by: Pinchuk, Mykola
Published: (2026)
by: Pinchuk, Mykola
Published: (2026)
An in-depth look at approximation via deep and narrow neural networks
by: Dommel, Joris, et al.
Published: (2025)
by: Dommel, Joris, et al.
Published: (2025)
CVCM Track Circuits Pre-emptive Failure Diagnostics for Predictive Maintenance Using Deep Neural Networks
by: Mukherjee, Debdeep, et al.
Published: (2025)
by: Mukherjee, Debdeep, et al.
Published: (2025)
Community-Based Model Sharing and Generalisation: Anomaly Detection in IoT Temperature Sensor Networks
by: Hammad, Sahibzada Saadoon, et al.
Published: (2026)
by: Hammad, Sahibzada Saadoon, et al.
Published: (2026)
Explicit Dropout: Deterministic Regularization for Transformer Architectures
by: Agrawal, Vidhi, et al.
Published: (2026)
by: Agrawal, Vidhi, et al.
Published: (2026)
Massive Redundancy in Gradient Transport Enables Sparse Online Learning
by: Merin, Aur Shalev
Published: (2026)
by: Merin, Aur Shalev
Published: (2026)
Optimizing Inference in Transformer-Based Models: A Multi-Method Benchmark
by: Ho, Siu Hang, et al.
Published: (2025)
by: Ho, Siu Hang, et al.
Published: (2025)
Lightweight Defense Against Adversarial Attacks in Time Series Classification
by: Han, Yi
Published: (2025)
by: Han, Yi
Published: (2025)
Temporal Functional Circuits: From Spline Plots to Faithful Explanations in KAN Forecasting
by: Mysore, Naveen
Published: (2026)
by: Mysore, Naveen
Published: (2026)
Adaptive Negative Scheduling for Graph Contrastive Learning
by: Ali, Adnan, et al.
Published: (2026)
by: Ali, Adnan, et al.
Published: (2026)
The Impact of Data Characteristics on GNN Evaluation for Detecting Fake News
by: Karn, Isha, et al.
Published: (2025)
by: Karn, Isha, et al.
Published: (2025)
Probabilistic Digital Twins of Users: Latent Representation Learning with Statistically Validated Semantics
by: David, Daniel
Published: (2025)
by: David, Daniel
Published: (2025)
MEG-to-MEG Transfer Learning and Cross-Task Speech/Silence Detection with Limited Data
by: de Zuazo, Xabier, et al.
Published: (2026)
by: de Zuazo, Xabier, et al.
Published: (2026)
Divergence-Based Similarity Function for Multi-View Contrastive Learning
by: Jeon, Jae Hyoung, et al.
Published: (2025)
by: Jeon, Jae Hyoung, et al.
Published: (2025)
Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network
by: Ali, Mohammad Wazed, et al.
Published: (2024)
by: Ali, Mohammad Wazed, et al.
Published: (2024)
H-Model: Dynamic Neural Architectures for Adaptive Processing
by: Hospodarchuk, Dmytro
Published: (2025)
by: Hospodarchuk, Dmytro
Published: (2025)
Dynamic Regularized CBDT: Variance-Calibrated Causal Boosting for Interpretable Heterogeneous Treatment Effects
by: Liu, Yichen
Published: (2025)
by: Liu, Yichen
Published: (2025)
Universal consistency of the $k$-NN rule in metric spaces and Nagata dimension. III
by: Pestov, Vladimir G.
Published: (2025)
by: Pestov, Vladimir G.
Published: (2025)
Contract-Driven QoE Auditing for Speech and Singing Services: From MOS Regression to Service Graphs
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
Uncovering symmetric and asymmetric species associations from community and environmental data
by: Si-Moussi, Sara, et al.
Published: (2025)
by: Si-Moussi, Sara, et al.
Published: (2025)
Inter-Layer Hessian Analysis of Neural Networks with DAG Architectures
by: Bolshim, Maxim, et al.
Published: (2026)
by: Bolshim, Maxim, et al.
Published: (2026)
ACTGNN: Assessment of Clustering Tendency with Synthetically-Trained Graph Neural Networks
by: Luo, Yiran, et al.
Published: (2025)
by: Luo, Yiran, et al.
Published: (2025)
Classifier Calibration at Scale: An Empirical Study of Model-Agnostic Post-Hoc Methods
by: Manokhin, Valery, et al.
Published: (2026)
by: Manokhin, Valery, et al.
Published: (2026)
Hallucinations Live in Variance
by: Flouro, Aaron R., et al.
Published: (2026)
by: Flouro, Aaron R., et al.
Published: (2026)
Unifying Physics- and Data-Driven Modeling via Novel Causal Spatiotemporal Graph Neural Network for Interpretable Epidemic Forecasting
by: Han, Shuai, et al.
Published: (2025)
by: Han, Shuai, et al.
Published: (2025)
Gradient Descent as Implicit EM in Distance-Based Neural Models
by: Oursland, Alan
Published: (2025)
by: Oursland, Alan
Published: (2025)
Is Cambodia the World's Largest Cashew Producer?
by: Chaya, Veasna, et al.
Published: (2024)
by: Chaya, Veasna, et al.
Published: (2024)
torchsom: The Reference PyTorch Library for Self-Organizing Maps
by: Berthier, Louis, et al.
Published: (2025)
by: Berthier, Louis, et al.
Published: (2025)
EchoLSTM: A Self-Reflective Recurrent Network for Stabilizing Long-Range Memory
by: K, Prasanth K, et al.
Published: (2025)
by: K, Prasanth K, et al.
Published: (2025)
Scalable Bayesian Clustering for Integrative Analysis of Multi-View Data
by: Cabral, Rafael, et al.
Published: (2024)
by: Cabral, Rafael, et al.
Published: (2024)
multivariateGPT: a decoder-only transformer for multivariate categorical and numeric data
by: Loza, Andrew J., et al.
Published: (2025)
by: Loza, Andrew J., et al.
Published: (2025)
Similar Items
-
MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification
by: Alagöz, Celal, et al.
Published: (2026) -
Flood Risk Follows Valleys, Not Grids: Graph Neural Networks for Flash Flood Susceptibility Mapping in Himachal Pradesh with Conformal Uncertainty Quantification
by: Sharma, Paras, et al.
Published: (2026) -
A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification
by: Ojeda, Sebastian, et al.
Published: (2025) -
TED++: Submanifold-Aware Backdoor Detection via Layerwise Tubular-Neighbourhood Screening
by: Le, Nam, et al.
Published: (2025) -
Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights
by: Abedinia, Aydin, et al.
Published: (2025)