Imagen de Portada

Predicting Driver's Perceived Risk: a Model Based on Semi-Supervised Learning Strategy

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Huang, Siwei, Yang, Chenhao, Hu, Chuan
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Human-Computer Interaction
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Research on a Driver's Perceived Risk Prediction Model Considering Traffic Scene Interaction
por: Yang, Chenhao, et al.
Publicado: (2025)

MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition
por: Lian, Zheng, et al.
Publicado: (2024)

EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
por: Zhou, Rushuang, et al.
Publicado: (2023)

MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis
por: Huang, Zeyang, et al.
Publicado: (2026)

Understanding Bias in Perceiving Dimensionality Reduction Projections
por: Doh, Seoyoung, et al.
Publicado: (2025)

Adaptive Crowdsourcing Via Self-Supervised Learning
por: Kagrecha, Anmol, et al.
Publicado: (2024)

Knowledge-Data Fusion Based Source-Free Semi-Supervised Domain Adaptation for Seizure Subtype Classification
por: Peng, Ruimin, et al.
Publicado: (2024)

SAFE-D: A Spatiotemporal Detection Framework for Abnormal Driving Among Parkinson's Disease-like Drivers
por: Cao, Hangcheng, et al.
Publicado: (2025)

Reducing Label Dependency in Human Activity Recognition with Wearables: From Supervised Learning to Novel Weakly Self-Supervised Approaches
por: Sheng, Taoran, et al.
Publicado: (2025)

Multimodal Fusion with Semi-Supervised Learning Minimizes Annotation Quantity for Modeling Videoconference Conversation Experience
por: Chang, Andrew, et al.
Publicado: (2025)

LDGCN: An Edge-End Lightweight Dual GCN Based on Single-Channel EEG for Driver Drowsiness Monitoring
por: Huang, Jingwei, et al.
Publicado: (2024)

Quantifying Visual Properties of GAM Shape Plots: Impact on Perceived Cognitive Load and Interpretability
por: Kruschel, Sven, et al.
Publicado: (2024)

Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition
por: Ye, Weishan, et al.
Publicado: (2023)

EEG-Based Emergency Braking Intensity Prediction Using Blind Source Separation
por: Zhou, Zikun, et al.
Publicado: (2026)

Will You Be Aware? Eye Tracking-Based Modeling of Situational Awareness in Augmented Reality
por: Qu, Zhehan, et al.
Publicado: (2025)

MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario Exploration
por: Cadavid, Héctor, et al.
Publicado: (2025)

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation
por: Chen, Juntong, et al.
Publicado: (2025)

Visual-Conversational Interface for Evidence-Based Explanation of Diabetes Risk Prediction
por: Samimi, Reza, et al.
Publicado: (2025)

Self-Regulated Learning in Essay Writing: Consistency of Strategies and Impact on Outcomes
por: Fernández-Nieto, Gloria, et al.
Publicado: (2026)

Fairness Perceptions in Regression-based Predictive Models
por: Telukunta, Mukund, et al.
Publicado: (2025)

A Physiological Sensor-Based Android Application Synchronized with a Driving Simulator for Driver Monitoring
por: González-Ortega, David, et al.
Publicado: (2024)

SoccerGuard: Investigating Injury Risk Factors for Professional Soccer Players with Machine Learning
por: Bartels, Finn, et al.
Publicado: (2024)

Driving Safety Prediction and Safe Route Mapping Using In-vehicle and Roadside Data
por: Huang, Yufei, et al.
Publicado: (2022)

Acoustic and Facial Markers of Perceived Conversational Success in Spontaneous Speech
por: Withanage, Thanushi, et al.
Publicado: (2026)

Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration
por: Mozannar, Hussein, et al.
Publicado: (2023)

Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles
por: Niu, Minxue, et al.
Publicado: (2023)

Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning
por: Kaufman, Robert, et al.
Publicado: (2024)

Who Leads? Comparing Human-Centric and Model-Centric Strategies for Defining ML Target Variables
por: Guo, Mengtian, et al.
Publicado: (2025)

FedBChain: A Blockchain-enabled Federated Learning Framework for Improving DeepConvLSTM with Comparative Strategy Insights
por: Li, Gaoxuan, et al.
Publicado: (2024)

FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches
por: Chatzimparmpas, Angelos, et al.
Publicado: (2021)

How Consistent are Clinicians? Evaluating the Predictability of Sepsis Disease Progression with Dynamics Models
por: Park, Unnseo, et al.
Publicado: (2024)

Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts
por: Suh, Ashley, et al.
Publicado: (2022)

Data-Driven Ergonomic Risk Assessment of Complex Hand-intensive Manufacturing Processes
por: Krishnan, Anand, et al.
Publicado: (2024)

No Need for Learning to Defer? A Training Free Deferral Framework to Multiple Experts through Conformal Prediction
por: Bary, Tim, et al.
Publicado: (2025)

Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State Perturbation
por: Schumann, Julian F., et al.
Publicado: (2025)

Cross-Task Inconsistency Based Active Learning (CTIAL) for Emotion Recognition
por: Xu, Yifan, et al.
Publicado: (2024)

Revisiting Euclidean Alignment for Transfer Learning in EEG-Based Brain-Computer Interfaces
por: Wu, Dongrui
Publicado: (2025)

Geometry-Aware Active Learning of Pattern Rankings via Choquet-Based Aggregation
por: Opran, Tudor Matei, et al.
Publicado: (2025)

InFL-UX: A Toolkit for Web-Based Interactive Federated Learning
por: Maurer, Tim, et al.
Publicado: (2025)

Jigsaw: Supporting Designers to Prototype Multimodal Applications by Chaining AI Foundation Models
por: Lin, David Chuan-En, et al.
Publicado: (2023)