Correlating Extreme Weather Conditions With Road Traffic Safety: A Unified Latent Space Model-Reference-Cited by-同舟云学术

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Correlating Extreme Weather Conditions With Road Traffic Safety: A Unified Latent Space Model

Published:2022 Issue: Volume:10 Page:73005-73018
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Fior Jacopo¹^ORCID,Cagliero Luca¹^ORCID

Affiliation:

1. Politecnico di Torino, Turin, Italy

Funder

Smart-Data@PoliTO Center for Big Data and Machine Learning Technologies

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09826745.pdf?arnumber=9826745

Reference38 articles.

1. Attention is all you need;vaswani;Proc Adv Neural Inf Process Syst,2017

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3. Efficient estimation of word representations in vector space;mikolov;Proc 1st Int Conf Learn Represent (ICLR),2013

4. Distributed representations of sentences and documents;le;Proc 31st Int Conf Int Conf Mach Learn (ICML),2014

5. Signal2Vec: Time Series Embedding Representation

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3. Deep-APT: Deep Learning based Efficient Accident Prevention Technique in Fogged Environment;2023-08-11

4. A Weather Oriented Pre-Tuning Methodology For Long-term Traffic Speed Estimation;2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM);2023-06

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