Eric Manibardo

According to our database, Eric Manibardo authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Graph-Based Methodology for the Sensorless Estimation of Road Traffic Profiles.

Eric L. Manibardo, Ibai Laña, Esther Villar-Rodriguez, Javier Del Ser

IEEE Trans. Intell. Transp. Syst., August, 2023

Expert-driven Rule-based Refinement of Semantic Segmentation Maps for Autonomous Vehicles.

Eric L. Manibardo, Ibai Laña, Javier Del Ser, Alexander Carballo, Kazuya Takeda

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Multi-step Ahead Visual Trajectory Prediction for Object Tracking using Echo State Networks.

Eric L. Manibardo, Ibai Laña, Javier Del Ser

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Deep Learning for Road Traffic Forecasting: Does it Make a Difference?

Eric L. Manibardo, Ibai Laña, Javier Del Ser

IEEE Trans. Intell. Transp. Syst., 2022

On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles.

Eric L. Manibardo, Ibai Laña, Esther Villar-Rodriguez, Javier Del Ser

CoRR, 2022

On the Potential of Randomization-based Neural Networks for Driving Behavior Classification.

Javier Del Ser, Eric L. Manibardo, Ibai Laña

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

What to Sense When There is no Sensor: Ex-novo Traffic Flow Estimation for Non-Sensed Roads.

Eric L. Manibardo, Ibai Laña, Javier Del Ser

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Change Detection and Adaptation Strategies for Long-Term Estimation of Pedestrian Flows.

Eric L. Manibardo, Ibai Laña, Javier Del Ser

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Random Vector Functional Link Networks for Road Traffic Forecasting: Performance Comparison and Stability Analysis.

Eric L. Manibardo, Ibai Laña, Javier Del Ser

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment.

Javier Del Ser, Ibai Laña, Eric L. Manibardo, Izaskun Oregi, Eneko Osaba, Jesus L. Lobo, Miren Nekane Bilbao, Eleni I. Vlahogianni

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

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

Eric L. Manibardo, Ibai Laña, Javier Del Ser

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data.

Eric L. Manibardo, Ibai Laña, Jesus L. Lobo, Javier Del Ser

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

ECG-based Random Forest Classifier for Cardiac Arrest Rhythms.

Eric Manibardo, Unai Irusta, Javier Del Ser, Elisabete Aramendi, Iraia Isasi, Mikel Olabarria, Carlos Corcuera, Jose F. Veintemillas, Andima Larrea

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019