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Transfer Learning and Online Learning for Traffic Forecasting under
  Different Data Availability Conditions: Alternatives and Pitfalls

Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls

8 May 2020
Eric L. Manibardo
I. Laña
Javier Del Ser
ArXiv (abs)PDFHTML

Papers citing "Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls"

2 / 2 papers shown
Title
Measuring the Confidence of Traffic Forecasting Models: Techniques,
  Experimental Comparison and Guidelines towards Their Actionability
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability
I. Laña
Ignacio
I. Olabarrieta
Javier Del Ser
64
1
0
28 Oct 2022
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Eric L. Manibardo
I. Laña
Javier Del Ser
AI4TS
66
71
0
02 Dec 2020
1