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08/02/2023
Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations
Cost-effective sensors are capable of real-time capturing a variety of a...
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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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11/11/2019
Sequence-to-Set Semantic Tagging: End-to-End Multi-label Prediction using Neural Attention for Complex Query Reformulation and Automated Text Categorization
Novel contexts may often arise in complex querying scenarios such as in ...
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10/28/2019
Towards Successful Social Media Advertising: Predicting the Influence of Commercial Tweets
Businesses communicate using Twitter for a variety of reasons – to raise...
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10/18/2019
Learning to Answer Subjective, Specific Product-Related Queries using Customer Reviews by Adversarial Domain Adaptation
Online customer reviews on large-scale e-commerce websites, represent a ...
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10/18/2019
Learning to Answer Subjective, Specific Product-Related Queries using Customer Reviews by Neural Domain Adaptation
Online customer reviews on large-scale e-commerce websites, represent a ...
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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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07/10/2019
Tweets Can Tell: Activity Recognition using Hybrid Long Short-Term Memory Model
This paper presents techniques to detect the "offline" activity a person...
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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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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
