Jesus L. Lobo
Jesus L. Lobo
Researcher at TECNALIA, Affiliate Professor at UOC
Dirección de correo verificada de - Página principal
Citado por
Citado por
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
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 Laña, JL Lobo, E Capecci, J Del Ser, N Kasabov
Transportation Research Part C: Emerging Technologies 101, 126-144, 2019
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
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
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
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
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
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
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
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
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
Road traffic forecasting using neucube and dynamic evolving spiking neural networks
I Laña, E Capecci, JD Ser, JL Lobo, N Kasabov
International Symposium on Intelligent and Distributed Computing, 192-203, 2018
On the creation of diverse ensembles for nonstationary environments using bio-inspired heuristics
JL Lobo, J Del Ser, E Villar-Rodriguez, MN Bilbao, S Salcedo-Sanz
International Conference on Harmony Search Algorithm, 67-77, 2017
Identifying recommendation opportunities for computer‐supported collaborative environments
JL Lobo, OC Santos, JG Boticario, J Del Ser
Expert Systems 33 (5), 463-479, 2016
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
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
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
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
A probabilistic sample matchmaking strategy for imbalanced data streams with concept drift
JL Lobo, JD Ser, MN Bilbao, I Lana, S Salcedo-Sanz
International Symposium on Intelligent and Distributed Computing, 237-246, 2016
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20