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Jesus L. Lobo
Jesus L. Lobo
Inne imiona/nazwiskaJesus Lopez Lobo, JL Lobo
AI Researcher at TECNALIA, Basque Research and Technology Alliance (BRTA)
Zweryfikowany adres z tecnalia.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
2542020
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
902018
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
772019
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
502021
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
382016
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
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
272023
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
232020
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
Synthetic datasets for concept drift detection purposes
JL Lobo
https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/5OWRGB, 2020
19*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
142020
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
142018
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
112020
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
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
102018
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
92021
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
92020
Effective air pollution prediction by combining time series decomposition with stacking and bagging ensembles of evolving spiking neural networks
PS Maciąg, R Bembenik, A Piekarzewicz, J Del Ser, JL Lobo, ...
Environmental Modelling & Software 170, 105851, 2023
72023
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
7*2023
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