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05/05/2023
Judge Me in Context: A Telematics-Based Driving Risk Prediction Framework in Presence of Weak Risk Labels
Driving risk prediction has been a topic of much research over the past ...
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09/14/2022
Will there be a construction? Predicting road constructions based on heterogeneous spatiotemporal data
Road construction projects maintain transportation infrastructures. Thes...
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02/11/2021
Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification
Identifying driving styles is the task of analyzing the behavior of driv...
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09/19/2019
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights
Reducing traffic accidents is an important public safety challenge, ther...
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06/12/2019
A Countrywide Traffic Accident Dataset
Reducing traffic accidents is an important public safety challenge. Howe...
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02/14/2019
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data
Pattern discovery in geo-spatiotemporal data (such as traffic and weathe...
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04/23/2018
Discovery of Driving Patterns by Trajectory Segmentation
Telematics data is becoming increasingly available due to the ubiquity o...
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03/31/2018
QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites
In this paper, we present a framework for Question Difficulty and Expert...
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12/22/2017
Predicting protein-protein interactions based on rotation of proteins in 3D-space
Protein-Protein Interactions (PPIs) perform essential roles in biologica...
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10/13/2017
Characterizing Driving Context from Driver Behavior
Because of the increasing availability of spatiotemporal data, a variety...
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05/15/2017