| Spiking neural networks and online learning: An overview and perspectives JL Lobo, J Del Ser, A Bifet, N Kasabov Neural Networks 121, 88-100, 2020 | 246 | 2020 |
| 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 | 90 | 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 | 76 | 2019 |
| Unsupervised anomaly detection in stream data with online evolving spiking neural networks PS Maciąg, M Kryszkiewicz, R Bembenik, JL Lobo, J Del Ser Neural Networks 139, 118-139, 2021 | 49 | 2021 |
| Cognitive Workload Classification using Eye-tracking and EEG Data JL Lobo, JD Ser, FD Simone, R Presta, S Collina, Z Moravek Proceedings of the International Conference on Human-Computer Interaction in …, 2016 | 37 | 2016 |
| AT-MFCGA: An adaptive transfer-guided multifactorial cellular genetic algorithm for evolutionary multitasking E Osaba, J Del Ser, AD Martinez, JL Lobo, F Herrera Information Sciences 570, 577-598, 2021 | 32 | 2021 |
| DRED: An evolutionary diversity generation method for concept drift adaptation in online learning environments JL Lobo, J Del Ser, MN Bilbao, C Perfecto, S Salcedo-Sanz Applied Soft Computing 68, 693-709, 2018 | 30 | 2018 |
| Understanding the challenges and novel architectural models of multi-cloud native applications–a systematic literature review J Alonso, L Orue-Echevarria, V Casola, AI Torre, M Huarte, E Osaba, ... Journal of Cloud Computing 12 (1), 6, 2023 | 21 | 2023 |
| 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 | 21 | 2020 |
| Community detection in graphs based on surprise maximization using firefly heuristics J Del Ser, JL Lobo, E Villar-Rodriguez, MN Bilbao, C Perfecto 2016 IEEE congress on evolutionary computation (CEC), 2233-2239, 2016 | 21 | 2016 |
| Synthetic datasets for concept drift detection purposes JL Lobo https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/5OWRGB, 2020 | 16* | 2020 |
| Multifactorial cellular genetic algorithm (mfcga): Algorithmic design, performance comparison and genetic transferability analysis E Osaba, AD Martinez, JL Lobo, J Del Ser, F Herrera 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 14 | 2020 |
| Drift detection over non-stationary data streams using evolving spiking neural networks JL Lobo, J Del Ser, I Laña, MN Bilbao, N Kasabov Intelligent Distributed Computing XII, 82-94, 2018 | 13 | 2018 |
| Stream learning in energy IoT systems: a case study in combined cycle power plants JL Lobo, I Ballesteros, I Oregi, J Del Ser, S Salcedo-Sanz Energies 13 (3), 740, 2020 | 11 | 2020 |
| On the transferability of knowledge among vehicle routing problems by using cellular evolutionary multitasking E Osaba, AD Martinez, JL Lobo, I Laña, J Del Ser 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 10 | 2020 |
| CURIE: a cellular automaton for concept drift detection JL Lobo, J Del Ser, E Osaba, A Bifet, F Herrera Data Mining and Knowledge Discovery 35 (6), 2655-2678, 2021 | 9 | 2021 |
| Exploiting the stimuli encoding scheme of evolving spiking neural networks for stream learning JL Lobo, I Oregi, A Bifet, J Del Ser Neural Networks 123, 118-133, 2020 | 9 | 2020 |
| Road traffic forecasting using neucube and dynamic evolving spiking neural networks I Laña, E Capecci, J Del Ser, JL Lobo, N Kasabov Intelligent Distributed Computing XII, 192-203, 2018 | 9 | 2018 |
| Identifying recommendation opportunities for computer‐supported collaborative environments JL Lobo, OC Santos, JG Boticario, J Del Ser Expert Systems 33 (5), 463-479, 2016 | 7 | 2016 |
| A novel Out-of-Distribution detection approach for Spiking Neural Networks: Design, fusion, performance evaluation and explainability A Martinez-Seras, J Del Ser, JL Lobo, P Garcia-Bringas, N Kasabov Information Fusion 100, 101943, 2023 | 6* | 2023 |
Javier (Javi) Del SerTECNALIA, University of the Basque Country (UPV/EHU), University of GranadaVerified email at tecnalia.com
