Eric L. Manibardo

16 papers B 2C 1Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2023 J jnl
A Graph-Based Methodology for the Sensorless Estimation of Road Traffic Profiles.
IEEE Trans. Intell. Transp. Syst.
Eric L. Manibardo, Ibai Laña, Esther Villar-Rodriguez, Javier Del Ser
2023 C conf
Expert-driven Rule-based Refinement of Semantic Segmentation Maps for Autonomous Vehicles.
IV
Eric L. Manibardo, Ibai Laña, Javier Del Ser, Alexander Carballo, Kazuya Takeda
2023 — conf
Multi-step Ahead Visual Trajectory Prediction for Object Tracking using Echo State Networks.
ITSC
Eric L. Manibardo, Ibai Laña, Javier Del Ser
2022 J jnl
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
IEEE Trans. Intell. Transp. Syst.
Eric L. Manibardo, Ibai Laña, Javier Del Ser
2022 J jnl
On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles.
CoRR
Eric L. Manibardo, Ibai Laña, Esther Villar-Rodriguez, Javier Del Ser
2022 — conf
On the Potential of Randomization-based Neural Networks for Driving Behavior Classification.
ITSC
Javier Del Ser, Eric L. Manibardo, Ibai Laña
2022 — conf
What to Sense When There is no Sensor: Ex-novo Traffic Flow Estimation for Non-Sensed Roads.
ITSC
Eric L. Manibardo, Ibai Laña, Javier Del Ser
2021 — conf
Change Detection and Adaptation Strategies for Long-Term Estimation of Pedestrian Flows.
ITSC
Eric L. Manibardo, Ibai Laña, Javier Del Ser
2021 B conf
Random Vector Functional Link Networks for Road Traffic Forecasting: Performance Comparison and Stability Analysis.
IJCNN
Eric L. Manibardo, Ibai Laña, Javier Del Ser
2020 — conf
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment.
ITSC
Javier Del Ser, Ibai Laña, Eric L. Manibardo, Izaskun Oregi, Eneko Osaba, Jesus L. Lobo, Miren Nekane Bilbao, Eleni I. Vlahogianni
2020 J jnl
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment.
CoRR
Javier Del Ser, Ibai Lana, Eric L. Manibardo, Izaskun Oregi, Eneko Osaba, Jesus L. Lobo, Miren Nekane Bilbao, Eleni I. Vlahogianni
2020 J jnl
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
CoRR
Eric L. Manibardo, Ibai Laña, Javier Del Ser
2020 B conf
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data.
IJCNN
Eric L. Manibardo, Ibai Laña, Jesus L. Lobo, Javier Del Ser
2020 J jnl
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data.
CoRR
Eric L. Manibardo, Ibai Laña, Jesus L. Lobo, Javier Del Ser
2020 — conf
Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls.
ITSC
Eric L. Manibardo, Ibai Laña, Javier Del Ser
2020 J jnl
Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls.
CoRR
Eric L. Manibardo, Ibai Laña, Javier Del Ser