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Explainable Driver Behavior Classification from Smartphone Data Using a Tabular Transformer Model

https://doi.org/10.2139/ssrn.7423828
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Outgoing claims: the papers this work cites, builds on, or argues with.

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TabNet and TabTransformer: Novel Deep Learning Models for Chemical Toxicity Prediction in Comparison With Machine Learning
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Towards Monitoring and Modelling for Situation-Adaptive Driver Assist Systems
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Vehicular Networks to Intelligent Transportation Systems
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Support-Vector Networks
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A robust multi-objective Bayesian optimization framework considering input uncertainty
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A novel method for distracted driving behaviors recognition with hybrid CNN-BiLSTM-AM model
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Recognizing and explaining driving stress using a Shapley additive explanation model by fusing EEG and behavior signals
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Intelligent Radiation: A review of Machine learning applications in nuclear and radiological sciences
inferredcites →https://doi.org/10.1080/19392699.2024.2341952openalex-snapshot
Deep learning with TabNet: rapid coal ash content estimation via X-ray fluorescence
inferredcites →https://doi.org/10.1080/24725854.2023.2275166openalex-snapshot
Robust expected improvement for Bayesian optimization
inferredcites →https://doi.org/10.1109/access.2020.3048915openalex-snapshot
Driving Behavior Classification Based on Oversampled Signals of Smartphone Embedded Sensors Using an Optimized Stacked-LSTM Neural Networks
inferredcites →https://doi.org/10.1109/access.2025.3594091openalex-snapshot
State-of-the-Art on IoV-Based Deep Learning Framework for Enhanced Driving Behavior Recognition: Recent Progress, Technology Updates, Challenges, and Future Direction
inferredcites →https://doi.org/10.1109/icac65379.2025.11196488openalex-snapshot
Mobile Phone Sensor-based Nigerian Driving Dataset to Detect Alcohol-influenced Behaviours
inferredcites →https://doi.org/10.1109/icais50930.2021.9396047openalex-snapshot
Hyperparameter optimization of LSTM based Driver’s Aggressive Behavior Prediction Model
inferredcites →https://doi.org/10.1109/iscas48785.2022.9937801openalex-snapshot
A Machine Learning Smartphone-based Sensing for Driver Behavior Classification
inferredcites →https://doi.org/10.1109/iv47402.2020.9304782openalex-snapshot
Deep Classification-driven Domain Adaptation for Cross-Modal Driver Behavior Recognition
inferredcites →https://doi.org/10.1109/iv48863.2021.9575671openalex-snapshot
Prediction of Personalized Driving Behaviors via Driver-Adaptive Deep Generative Models
inferredcites →https://doi.org/10.1109/jbhi.2022.3189312openalex-snapshot
Novel Techniques to Assess Predictive Systems and Reduce Their Alarm Burden
inferredcites →https://doi.org/10.1109/jsen.2023.3256000openalex-snapshot
Smartphone Inertial Measurement Unit Data Features for Analyzing Driver Driving Behavior
inferredcites →https://doi.org/10.1109/lsp.2020.3001843openalex-snapshot
A $t$-Distribution Based Operator for Enhancing Out of Distribution Robustness of Neural Network Classifiers
inferredcites →https://doi.org/10.1109/mvt.2009.935537openalex-snapshot
Intelligent Transportation Systems
inferredcites →https://doi.org/10.1109/tcss.2022.3170934openalex-snapshot
Tabular Learning-Based Traffic Event Prediction for Intelligent Social Transportation System
inferredcites →https://doi.org/10.1109/tit.1967.1053964openalex-snapshot
Nearest neighbor pattern classification
inferredcites →https://doi.org/10.1109/tits.2022.3201378openalex-snapshot
A Deep Multichannel Network Model for Driving Behavior Risk Classification
inferredcites →https://doi.org/10.1109/tits.2024.3381175openalex-snapshot
Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos
inferredcites →https://doi.org/10.1109/tits.2024.3445710openalex-snapshot
Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer
inferredcites →https://doi.org/10.1109/tits.2024.3484452openalex-snapshot
TUN-DAS: Time-Series Analysis and Unsupervised Learning Based Driving Behavior Assessment System
inferredcites →https://doi.org/10.1111/j.1469-1809.1936.tb02137.xopenalex-snapshot
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
inferredcites →https://doi.org/10.1137/23m1626232openalex-snapshot
Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians
inferredcites →https://doi.org/10.1145/3582078openalex-snapshot
Recent Advances in Bayesian Optimization
inferredcites →https://doi.org/10.11591/eei.v14i3.9095openalex-snapshot
Driving behavior analytics: an intelligent system based on machine learning and data mining techniques
inferredcites →https://doi.org/10.11648/j.ajist.20250903.15openalex-snapshot
The Accuracy-Interpretability Dilemma: A Strategic Framework for Navigating the Trade-off in Modern Machine Learning
inferredcites →https://doi.org/10.1186/s12544-024-00691-9openalex-snapshot
Predicting risky driving behavior with classification algorithms: results from a large-scale field-trial and simulator experiment
inferredcites →https://doi.org/10.1590/2238-1031.jtl.v9n2a6openalex-snapshot
Recent trends in intelligent transportation systems: a review
inferredcites →https://doi.org/10.1609/aaai.v35i8.16826openalex-snapshot
TabNet: Attentive Interpretable Tabular Learning
inferredcites →https://doi.org/10.19139/soic-2310-5070-2190openalex-snapshot
Driver Behavior Classification: A Novel Approach Using Auto-Encoders and Motif Extraction
inferredcites →https://doi.org/10.2991/ijcis.11.1.35openalex-snapshot
A Driving Behavior Awareness Model based on a Dynamic Bayesian Network and Distributed Genetic Algorithm
inferredcites →https://doi.org/10.33492/jrs-d-19-00254openalex-snapshot
How do we prevent and mitigate crashes? Evidence from Australian at-scene in-depth crash investigations
inferredcites →https://doi.org/10.3390/cimb47090683openalex-snapshot
Hybrid Gene Selection Algorithm for Cancer Classification Using Nuclear Reaction Optimization (NRO)
inferredcites →https://doi.org/10.3390/e26100861openalex-snapshot
Research on Credit Default Prediction Model Based on TabNet-Stacking
inferredcites →https://doi.org/10.3390/s23083835openalex-snapshot
EFFNet-CA: An Efficient Driver Distraction Detection Based on Multiscale Features Extractions and Channel Attention Mechanism
inferredcites →https://doi.org/10.3390/s23125551openalex-snapshot
Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks
inferredcites →https://doi.org/10.3390/s25072268openalex-snapshot
MCT-CNN-LSTM: A Driver Behavior Wireless Perception Method Based on an Improved Multi-Scale Domain-Adversarial Neural Network
inferredcites →https://doi.org/10.37789/rochi.2022.1.1.17openalex-snapshot
Building a Driving Behaviour Dataset
inferredcites →https://doi.org/10.4236/jtts.2022.123026openalex-snapshot
Vehicles, Advanced Features, Driver Behavior, and Safety: A Systematic Review of the Literature
inferredcites →https://doi.org/10.4271/2023-01-0569openalex-snapshot
Traffic Safety Improvement through Evaluation of Driver Behavior – An Initial Step Towards Vehicle Assessment of Human Operators
inferredcites →https://doi.org/10.4324/9781003343196openalex-snapshot
The Geography of Transport Systems
inferredcites →https://doi.org/10.54254/2755-2721/94/2024melb0092openalex-snapshot
A Comprehensive Review of Diffusion Models in AI-Generated Content for Image Applications
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