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
The role of local urban traffic and meteorological conditions in air pollution: A data-based case study in Madrid, Spain
I Lana, J Del Ser, A Padró, M Vélez, C Casanova-Mateo
Atmospheric Environment 145, 424-438, 2016
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
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
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
Adaptive long-term traffic state estimation with evolving spiking neural networks
I Lana, JL Lobo, E Capecci, J Del Ser, N Kasabov
Transportation Research Part C: Emerging Technologies 101, 126-144, 2019
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
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
From data to actions in intelligent transportation systems: a prescription of functional requirements for model actionability
I Laña, JJ Sanchez-Medina, EI Vlahogianni, J Del Ser
Sensors 21 (4), 1121, 2021
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
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
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
Deep echo state networks for short-term traffic forecasting: Performance comparison and statistical assessment
J Del Ser, I Lana, EL Manibardo, I Oregi, E Osaba, JL Lobo, MN Bilbao, ...
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
Multi-objective optimization of bike routes for last-mile package delivery with drop-offs
E Osaba, J Del Ser, AJ Nebro, I Laña, MN Bilbao, JJ Sanchez-Medina
2018 21st International Conference on Intelligent Transportation Systems …, 2018
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
Modelling and analysis of temporal gene expression data using spiking neural networks
D Nandini, E Capecci, L Koefoed, I Laña, GK Shahi, N Kasabov
International Conference on Neural Information Processing, 571-581, 2018
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
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
New perspectives on the use of online learning for congestion level prediction over traffic data
EL Manibardo, I Laña, JL Lobo, J Del Ser
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
Road traffic forecasting using stacking ensembles of echo state networks
J Del Ser, I Laña, MN Bilbao, EI Vlahogianni
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2591-2597, 2019
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