Latest Research in Machine Learning

Top Research Topics in Machine Learning

• Traffic Prediction and Management Techniques — 7 papers
• Machine Learning — 3 papers
• Computer Vision and Pattern Recognition — 3 papers
• Artificial Intelligence — 2 papers
• Autonomous Vehicle Technology and Safety — 1 papers
• Networking and Internet Architecture — 1 papers
• Tensor decomposition and applications — 1 papers
• Systems and Control — 1 papers
• Smart Parking Systems Research — 1 papers
• Physics and Society — 1 papers

Highest-Cited Papers

1. Low-complexity pedestrian intent prediction using contextual stacked ensemble learning
2. Forecasting Individual NetFlows using a Predictive Masked Graph Autoencoder
3. FAMoE-ST: Hierarchically Frozen Attention with Hybrid-Memory Experts for Traffic-Flow Forecasting
4. Event-Driven Topology Reconfiguration and Penetration-Aware Graph Attention for Mixed-Autonomy Traffic Forecasting
5. General Semantic Knowledge Infusion for Spatio-Temporal Traffic Forecasting
6. STHMoE: Hypergraph-Enhanced Heterogeneous Dependency Coordination for LLM-Based Urban Traffic Data Forecasting
7. A Multi-Resolution Multi-Domain Pre-Training Framework for Universal Traffic Forecasting
8. A Dynamic Fusion Large Language Model for Traffic Flow Prediction
9. Traffic-Flow Prediction Using T-AGCN Based on an Adaptive Search Graph Fusion Mechanism
10. Structure-sparse Tucker-based tensor optimization for traffic prediction
11. TD-STGT: A Spatio-Temporal Graph Transformer for Mobile Traffic Demand Forecasting
12. From Rooms to Rows: Adapting Indoor Functional-Zone Segmentation to Open Parking Environments
13. A Graph Convolutional Network with Attention Mechanism for Bus Arrival Time Prediction
14. Uncertainty Quantification for Physics-Informed Traffic Graph Networks with Adversarial Attacks
15. Beyond Textual Chain-of-Thought: A Survey on Action-Grounded Reasoning in Autonomous Driving
16. An Operationally Interpretable Lag-Aware Directed Spatio-Temporal Graph Neural Network for Real-Time Freeway Traffic Forecasting
17. ButterMamba: Butterworth-Enhanced Spatial-Temporal Mamba for Efficient Traffic Flow Prediction
18. CASTANET: Causality-Aware Spatio-Temporal Adversarial Network Using Traffic Incident Effects
19. GHR-VLM: Making Zero-Shot Transit Video Analytics Realizable with Grounded Hybrid Reasoning
20. Dual-heterogeneity temporal-spatial network for traffic flow prediction