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Eric L. Manibardo
Eric L. Manibardo
PhD student at UPV/EHU, TECNALIA
Dirección de correo verificada de tecnalia.com
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Año
Deep learning for road traffic forecasting: Does it make a difference?
EL Manibardo, I Laña, J Del Ser
IEEE Transactions on Intelligent Transportation Systems, 2021
222021
Deep echo state networks for short-term traffic forecasting: Performance comparison and statistical assessment
J Del Ser, I Lana, EL Manibardo, I Oregi, E Osaba, JL Lobo, MN Bilbao, ...
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
132020
ECG-based random forest classifier for cardiac arrest rhythms
E Manibardo, U Irusta, J Del Ser, E Aramendi, I Isasi, M Olabarria, ...
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
62019
New perspectives on the use of online learning for congestion level prediction over traffic data
EL Manibardo, I Laña, JL Lobo, J Del Ser
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
42020
Random vector functional link networks for road traffic forecasting: Performance comparison and stability analysis
EL Manibardo, I Laña, J Del Ser
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
32021
Transfer learning and online learning for traffic forecasting under different data availability conditions: Alternatives and pitfalls
EL Manibardo, I Laña, J Del Ser
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
32020
Change detection and adaptation strategies for long-term estimation of pedestrian flows
EL Manibardo, I Laña, J Del Ser
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
22021
On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles
EL Manibardo, I Laña, E Villar, J Del Ser
arXiv preprint arXiv:2201.04968, 2022
2022
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Artículos 1–8