Ibai Laña
Ibai Laña
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Road traffic forecasting: recent advances and new challenges
I Laña, J Del Ser, M Velez, EI Vlahogianni
IEEE Intelligent Transportation Systems Magazine 10 (2), 93-109, 2018
582018
On the imputation of missing data for road traffic forecasting: New insights and novel techniques
I Laña, II Olabarrieta, M Vélez, J Del Ser
Transportation research part C: emerging technologies 90, 18-33, 2018
292018
The role of local urban traffic and meteorological conditions in air pollution: A data-based case study in Madrid, Spain
I Laña, J Del Ser, A Padró, M Vélez, C Casanova-Mateo
Atmospheric Environment 145, 424-438, 2016
282016
Evolving spiking neural networks for online learning over drifting data streams
JL Lobo, I Laña, J Del Ser, MN Bilbao, N Kasabov
Neural Networks 108, 1-19, 2018
182018
Big Data for transportation and mobility: recent advances, trends and challenges
AI Torre-Bastida, J Del Ser, I Laña, M Ilardia, MN Bilbao, ...
IET Intelligent Transport Systems 12 (8), 742-755, 2018
182018
Understanding daily mobility patterns in urban road networks using traffic flow analytics
I Laña, J Del Ser, II Olabarrieta
NOMS 2016-2016 IEEE/IFIP Network Operations and Management Symposium, 1157-1162, 2016
162016
Adaptive long-term traffic state estimation with evolving spiking neural networks
I Laña, JL Lobo, E Capecci, J Del Ser, N Kasabov
Transportation Research Part C: Emerging Technologies 101, 126-144, 2019
122019
Joint feature selection and parameter tuning for short-term traffic flow forecasting based on heuristically optimized multi-layer neural networks
I Laña, J Del Ser, M Vélez, I Oregi
International conference on harmony search algorithm, 91-100, 2017
122017
Nature-inspired heuristics for the multiple-vehicle selective pickup and delivery problem under maximum profit and incentive fairness criteria
J Del Ser, AI Torre-Bastida, I Laña, MN Bilbao, C Perfecto
2017 IEEE Congress on Evolutionary Computation (CEC), 480-487, 2017
52017
Drift detection over non-stationary data streams using evolving spiking neural networks
JL Lobo, J Del Ser, I Laña, MN Bilbao, N Kasabov
International symposium on intelligent and distributed computing, 82-94, 2018
42018
A novel fireworks algorithm with wind inertia dynamics and its application to traffic forecasting
I Laña, J Del Ser, M Vélez
2017 IEEE Congress on Evolutionary Computation (CEC), 706-713, 2017
42017
A Heuristically Optimized Complex Event Processing Engine for Big Data Stream Analytics
II Olabarrieta, AI Torre-Bastida, I Laña, S Campos-Cordobes, J Del Ser
International Conference on Harmony Search Algorithm, 101-111, 2017
32017
Road traffic forecasting using neucube and dynamic evolving spiking neural networks
I Laña, E Capecci, J Del Ser, JL Lobo, N Kasabov
International Symposium on Intelligent and Distributed Computing, 192-203, 2018
22018
Big data in road transport and mobility research
S Campos-Cordobés, J Del Ser, I Laña, II Olabarrieta, J Sánchez-Cubillo, ...
Intelligent Vehicles, 175-205, 2018
22018
A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept Drift
JL Lobo, J Del Ser, MN Bilbao, I Laña, S Salcedo-Sanz
International Symposium on Intelligent and Distributed Computing, 237-246, 2016
12016
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data
EL Manibardo, I Laña, JL Lobo, J Del Ser
arXiv preprint arXiv:2003.14304, 2020
2020
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability
I Lana, JJ Sanchez-Medina, EI Vlahogianni, J Del Ser
arXiv preprint arXiv:2002.02210, 2020
2020
A Question of Trust: Statistical Characterization of Long-Term Traffic Estimations for their Improved Actionability
I Laña, E Villar-Rodriguez, U Etxegarai, I Oregi, J Del Ser
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1922-1928, 2019
2019
Deep Recurrent Neural Networks and Optimization Meta-Heuristics for Green Urban Route Planning with Dynamic Traffic Estimates
I Estalayo, E Osaba, I Laña, J Del Ser
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1336-1342, 2019
2019
What Lies Beneath: A Note on the Explainability of Black-box Machine Learning Models for Road Traffic Forecasting
A Barredo-Arrieta, I Laña, J Del Ser
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2232-2237, 2019
2019
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Artículos 1–20