Eric L. Manibardo

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 16

Top Topics

Semantic Segmentation

Online Learning

Flow Estimation

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Eric L. Manibardo, Ibai Laña, Javier Del Ser
Multi-step Ahead Visual Trajectory Prediction for Object Tracking using Echo State Networks. ITSC (2023)
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) (2023)
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)
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)
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) (2022)
Javier Del Ser, Eric L. Manibardo, Ibai Laña
On the Potential of Randomization-based Neural Networks for Driving Behavior Classification. ITSC (2022)
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 (2022)
Eric L. Manibardo, Ibai Laña, Javier Del Ser
Random Vector Functional Link Networks for Road Traffic Forecasting: Performance Comparison and Stability Analysis. IJCNN (2021)
Eric L. Manibardo, Ibai Laña, Javier Del Ser
Change Detection and Adaptation Strategies for Long-Term Estimation of Pedestrian Flows. ITSC (2021)
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)
Eric L. Manibardo, Ibai Laña, Javier Del Ser
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? CoRR (2020)
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)
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 (2020)
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)
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 (2020)
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 (2020)