:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tan, Xin, Zhao, Meng
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2409.05933
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction
by: Zeydan, Engin, et al.
Published: (2025)

An Explainable Machine Learning Approach to Traffic Accident Fatality Prediction
by: Rifat, Md. Asif Khan, et al.
Published: (2024)

Multi-Modal Traffic Analysis: Integrating Time-Series Forecasting, Accident Prediction, and Image Classification
by: M, Nivedita, et al.
Published: (2025)

Predicting Traffic Accident Severity with Deep Neural Networks
by: Bibb, Meghan, et al.
Published: (2025)

TrafficKAN-GCN: Graph Convolutional-based Kolmogorov-Arnold Network for Traffic Flow Optimization
by: Zhang, Jiayi, et al.
Published: (2025)

Hotspot Prediction of Severe Traffic Accidents in the Federal District of Brazil
by: Lima, Vinicius, et al.
Published: (2023)

Fourier-KAN-Mamba: A Novel State-Space Equation Approach for Time-Series Anomaly Detection
by: Wang, Xiancheng, et al.
Published: (2025)

HiPPO-KAN: Efficient KAN Model for Time Series Analysis
by: Lee, SangJong, et al.
Published: (2024)

Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction
by: Gao, Xiaowei, et al.
Published: (2023)

From Time Series to State: Situation-Aware Modeling for Air Traffic Flow Prediction
by: Liu, Anqi, et al.
Published: (2026)

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
by: Ji, Jiahao, et al.
Published: (2022)

KAN KAN Buff Signed Graph Neural Networks?
by: Shebaro, Muhieddine, et al.
Published: (2025)

LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data
by: An, Bang, et al.
Published: (2024)

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting
by: Huang, Songtao, et al.
Published: (2025)

A Physics-informed Deep Operator for Real-Time Freeway Traffic State Estimation
by: Yu, Hongxin, et al.
Published: (2025)

Deep Learning Network-Temporal Models For Traffic Prediction
by: Xin, Yufeng, et al.
Published: (2026)

Learning Multimodal Embeddings for Traffic Accident Prediction and Causal Estimation
by: Zhang, Ziniu, et al.
Published: (2025)

Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques
by: Behboudi, Noushin, et al.
Published: (2024)

Cellular Traffic Prediction via Deep State Space Models with Attention Mechanism
by: Ma, Hui, et al.
Published: (2025)

SMA-Hyper: Spatiotemporal Multi-View Fusion Hypergraph Learning for Traffic Accident Prediction
by: Gao, Xiaowei, et al.
Published: (2024)

Model Comparisons: XNet Outperforms KAN
by: Li, Xin, et al.
Published: (2024)

Machine Unlearning of Traffic State Estimation and Prediction
by: Wang, Xin, et al.
Published: (2025)

AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis
by: Wu, Kebin, et al.
Published: (2024)

SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series
by: Inzirillo, Hugo, et al.
Published: (2024)

KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
by: Zhou, Quan, et al.
Published: (2024)

The Weather Paradox: Why Precipitation Fails to Predict Traffic Accident Severity in Large-Scale US Data
by: Bellec, Yann, et al.
Published: (2026)

GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networks
by: Zhang, Fan, et al.
Published: (2024)

Mesoscale Traffic Forecasting for Real-Time Bottleneck and Shockwave Prediction
by: Chekroun, Raphael, et al.
Published: (2024)

Hybrid Transformer and Spatial-Temporal Self-Supervised Learning for Long-term Traffic Prediction
by: Zhu, Wang, et al.
Published: (2024)

WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?
by: Xu, Kunpeng, et al.
Published: (2024)

Self-Supervised On-Policy Distillation for Reasoning Language Models
by: Tan, Zhiquan, et al.
Published: (2026)

SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model
by: Shams, Siavash, et al.
Published: (2024)

Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks
by: Talluri, Kranthi Kumar, et al.
Published: (2025)

KOSS: Kalman-Optimal Selective State Spaces for Long-Term Sequence Modeling
by: Wang, Lei, et al.
Published: (2025)

Deep State-Space Generative Model For Correlated Time-to-Event Predictions
by: Xue, Yuan, et al.
Published: (2024)

Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficent-KAN and WAV-KAN
by: Patra, Subhajit, et al.
Published: (2024)

Demystifying the Token Dynamics of Deep Selective State Space Models
by: Vo, Thieu N, et al.
Published: (2024)

Real-Time Network Traffic Forecasting with Missing Data: A Generative Model Approach
by: Deng, Lei, et al.
Published: (2025)

MatrixKAN: Parallelized Kolmogorov-Arnold Network
by: Coffman, Cale, et al.
Published: (2025)

End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection
by: Deforce, Boje, et al.
Published: (2024)