| 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 | 249 | 2018 |
| 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 | 90 | 2018 |
| 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 | 79 | 2016 |
| 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 | 78 | 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 | 61 | 2018 |
| 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 | 58 | 2019 |
| 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 | 35 | 2021 |
| 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 | 35 | 2016 |
| Deep learning for road traffic forecasting: Does it make a difference? EL Manibardo, I Laña, J Del Ser IEEE Transactions on Intelligent Transportation Systems, 2021 | 28 | 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 | 19 | 2019 |
| 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 | 16 | 2018 |
| 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 | 15 | 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 | 14 | 2020 |
| Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges J Guerra-Montenegro, J Sanchez-Medina, I Lana, D Sanchez-Rodriguez, ... Applied Soft Computing 102, 107082, 2021 | 13 | 2021 |
| Drift detection over non-stationary data streams using evolving spiking neural networks JL Lobo, JD Ser, I Laña, MN Bilbao, N Kasabov International symposium on intelligent and distributed computing, 82-94, 2018 | 11 | 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 | 10 | 2018 |
| On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification A Barredo Arrieta, S Gil-Lopez, I Laña, MN Bilbao, J Del Ser Neural Computing and Applications 34 (13), 10257-10277, 2022 | 8 | 2022 |
| Model free identification of traffic conditions using unmanned aerial vehicles and deep learning EI Vlahogianni, J Del Ser, K Kepaptsoglou, I Laña Journal of Big Data Analytics in Transportation 3 (1), 1-13, 2021 | 8 | 2021 |
| 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 | 8 | 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 | 8 | 2017 |
Javier (Javi) Del Ser, SMIEEEResearch Professor in Artificial Intelligence (TECNALIA), Professor (UPV/EHU)Dirección de correo verificada de tecnalia.com
