ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.09167
  4. Cited By
Can we Estimate Truck Accident Risk from Telemetric Data using Machine
  Learning?

Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning?

17 July 2020
Antonio Hebert
Ian Marineau
Gilles Gervais
Tristan Glatard
Brigitte Jaumard
ArXivPDFHTML

Papers citing "Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning?"

14 / 14 papers shown
Title
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
310
42,038
0
03 Dec 2019
InceptionTime: Finding AlexNet for Time Series Classification
InceptionTime: Finding AlexNet for Time Series Classification
Hassan Ismail Fawaz
Benjamin Lucas
Germain Forestier
Charlotte Pelletier
Daniel F. Schmidt
J. Weber
Geoffrey I. Webb
L. Idoumghar
Pierre-Alain Muller
Franccois Petitjean
AI4TS
141
1,083
0
11 Sep 2019
High-Resolution Road Vehicle Collision Prediction for the City of
  Montreal
High-Resolution Road Vehicle Collision Prediction for the City of Montreal
Antonio Hebert
Timothée Guédon
Tristan Glatard
Brigitte Jaumard
19
25
0
21 May 2019
Three Mechanisms of Weight Decay Regularization
Three Mechanisms of Weight Decay Regularization
Guodong Zhang
Chaoqi Wang
Bowen Xu
Roger C. Grosse
54
257
0
29 Oct 2018
Deep learning for time series classification: a review
Deep learning for time series classification: a review
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
AI4TS
AI4CE
260
2,668
0
12 Sep 2018
A review on distance based time series classification
A review on distance based time series classification
A. Abanda
U. Mori
Jose A. Lozano
AI4TS
33
248
0
12 Jun 2018
Real-time Traffic Accident Risk Prediction based on Frequent Pattern
  Tree
Real-time Traffic Accident Risk Prediction based on Frequent Pattern Tree
Lei Lin
Qian Wang
A. Sadek
33
167
0
20 Jan 2017
Distributed and parallel time series feature extraction for industrial
  big data applications
Distributed and parallel time series feature extraction for industrial big data applications
Maximilian Christ
A. Kempa-Liehr
M. Feindt
AI4TS
76
272
0
25 Oct 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
320
14,196
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
244
5,502
0
23 Nov 2015
Cyclical Learning Rates for Training Neural Networks
Cyclical Learning Rates for Training Neural Networks
L. Smith
ODL
148
2,515
0
03 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.1K
149,474
0
22 Dec 2014
Efficient Object Localization Using Convolutional Networks
Efficient Object Localization Using Convolutional Networks
Jonathan Tompson
Ross Goroshin
Arjun Jain
Yann LeCun
C. Bregler
3DH
136
1,350
0
16 Nov 2014
1