Eric L. Manibardo

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

Ibai Lana, Javier Del Ser, Eric L. Manibardo, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

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

Ibai Lana, Eleni I. Vlahogianni, Javier Del Ser, 2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).

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

Ibai Lana, Javier Del Ser, Eric L. Manibardo, 2020, IEEE Transactions on Intelligent Transportation Systems.

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

Ibai Lana, Javier Del Ser, Eric L. Manibardo, 2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).

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

Javier Del Ser, Eric L. Manibardo, Ibai Laña, 2021, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).

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

Ibai Lana, Javier Del Ser, Eric L. Manibardo, 2022, ArXiv.

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

Javier Del Ser, Eric L. Manibardo, Ibai Laña, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

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

Eric L. Manibardo, J. Ser, I. Laña, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

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

Eric L. Manibardo, J. Ser, Esther Villar-Rodriguez, 2022, IEEE Transactions on Intelligent Transportation Systems.

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

Eric L. Manibardo, J. Ser, I. Laña, 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

ECG-based Random Forest Classifier for Cardiac Arrest Rhythms

Javier Del Ser, Unai Irusta, Eric L. Manibardo, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Eric L. Manibardo, J. Ser, I. Laña, 2023, 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC).