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Journal Articles
- 2023
[j2]Eric L. Manibardo
, Ibai Laña, Esther Villar-Rodriguez, Javier Del Ser:
A Graph-Based Methodology for the Sensorless Estimation of Road Traffic Profiles. IEEE Trans. Intell. Transp. Syst. 24(8): 8701-8715 (2023)- 2022
- [j1]Eric L. Manibardo, Ibai Laña, Javier Del Ser:
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? IEEE Trans. Intell. Transp. Syst. 23(7): 6164-6188 (2022)
Conference and Workshop Papers
- 2023
- [c10]Eric L. Manibardo, Ibai Laña, Javier Del Ser:
Multi-step Ahead Visual Trajectory Prediction for Object Tracking using Echo State Networks. ITSC 2023: 4782-4789 - [c9]Eric L. Manibardo, Ibai Laña, Javier Del Ser, Alexander Carballo, Kazuya Takeda:
Expert-driven Rule-based Refinement of Semantic Segmentation Maps for Autonomous Vehicles. IV 2023: 1-8 - 2022
- [c8]Eric L. Manibardo, Ibai Laña, Javier Del Ser:
What to Sense When There is no Sensor: Ex-novo Traffic Flow Estimation for Non-Sensed Roads. ITSC 2022: 1668-1675 - [c7]Javier Del Ser, Eric L. Manibardo, Ibai Laña:
On the Potential of Randomization-based Neural Networks for Driving Behavior Classification. ITSC 2022: 2991-2997 - 2021
- [c6]Eric L. Manibardo, Ibai Laña, Javier Del Ser:
Random Vector Functional Link Networks for Road Traffic Forecasting: Performance Comparison and Stability Analysis. IJCNN 2021: 1-8 - [c5]Eric L. Manibardo, Ibai Laña, Javier Del Ser:
Change Detection and Adaptation Strategies for Long-Term Estimation of Pedestrian Flows. ITSC 2021: 1867-1874 - 2020
- [c4]Eric L. Manibardo, Ibai Laña, Jesus L. Lobo, Javier Del Ser:
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data. IJCNN 2020: 1-8 - [c3]Eric L. Manibardo, Ibai Laña, Javier Del Ser:
Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls. ITSC 2020: 1-6 - [c2]Javier Del Ser, Ibai Laña, Eric L. Manibardo, Izaskun Oregi, Eneko Osaba, Jesus L. Lobo, Miren Nekane Bilbao, Eleni I. Vlahogianni:
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment. ITSC 2020: 1-6 - 2019
- [c1]Eric Manibardo, Unai Irusta, Javier Del Ser, Elisabete Aramendi, Iraia Isasi, Mikel Olabarria, Carlos Corcuera, Jose F. Veintemillas, Andima Larrea:
ECG-based Random Forest Classifier for Cardiac Arrest Rhythms. EMBC 2019: 1504-1508
Informal and Other Publications
- 2022
- [i5]Eric L. Manibardo, Ibai Laña, Esther Villar-Rodriguez, Javier Del Ser:
On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles. CoRR abs/2201.04968 (2022) - 2020
- [i4]Eric L. Manibardo, Ibai Laña, Jesus L. Lobo, Javier Del Ser:
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data. CoRR abs/2003.14304 (2020) - [i3]Javier Del Ser, Ibai Lana, Eric L. Manibardo, Izaskun Oregi, Eneko Osaba, Jesus L. Lobo, Miren Nekane Bilbao, Eleni I. Vlahogianni:
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment. CoRR abs/2004.08170 (2020) - [i2]Eric L. Manibardo, Ibai Laña, Javier Del Ser:
Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls. CoRR abs/2005.05069 (2020) - [i1]Eric L. Manibardo, Ibai Laña, Javier Del Ser:
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? CoRR abs/2012.02260 (2020)
Coauthor Index
aka: Ibai Laña
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