TY  - CONF
AU  - Manibardo, Eric L.
AU  - Laña, Ibai
AU  - Del Ser, Javier
PY  - 2020
DO  - 10.1109/ITSC45102.2020.9294557
SN  - 978-1-7281-4150-3
SN  - 9781728141497
SN  - 978-1-7281-4149-7
AB  - This work aims at unveiling the potential of Transfer Learning (TL) for developing a traffic flow forecasting model in scenarios of absent data. Knowledge transfer from high-quality predictive models becomes feasible under the TL paradigm, enabling...
LA  - eng
PB  - Institute of Electrical and Electronics Engineers Inc.
TI  - Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: 												Alternatives and Pitfalls
TY  - conference output
ER  -