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Jesus L. Lobo
Jesus L. Lobo
AI Researcher at TECNALIA, Basque Research and Technology Alliance (BRTA)
Verified email at tecnalia.com - Homepage
Title
Cited by
Cited by
Year
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
2262020
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
892018
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
742019
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
492021
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
362016
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
322021
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
302018
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
212020
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
212016
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), 1-34, 2023
192023
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
132020
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
132018
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
102020
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
102020
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
92018
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
82021
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
82020
Identifying recommendation opportunities for computer‐supported collaborative environments
JL Lobo, OC Santos, JG Boticario, J Del Ser
Expert Systems 33 (5), 463-479, 2016
72016
PIACERE project: description and prototype for optimizing infrastructure as code deployment configurations
E Osaba, J Diaz-de-Arcaya, L Orue-Echevarria, J Alonso, JL Lobo, ...
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
62022
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