Proiektua FEDER-UCA18-108393
OPTIMIZATION AND MACHINE LEARNING: A TWO-WAY TRIP WITH APPLICATIONS (OPTIMALE)
Finantzatzailea: CONSEJERÍA DE ECONOMÍA Y CONOCIMIENTO - JUNTA DE ANDALUCÍA
Deialdia: PROYECTOS I+D+I FEDER. Programas Varios (CONSEJERÍA DE ECONOMÍA Y CONOCIMIENTO - JUNTA DE ANDALUCÍA)
Autonomia-arlokoak. Norgehiagoka-aren araubidean eman da.
Beste erakunde batzuekin lankidetzan. Eginkizun: Bazkide
Ikertzaileak
Kide ohiak (7)
- AGÜERO TORALES, MARVIN MATIAS 20202021
- AMOR ROLDAN, FRANCISCO 20212022
- DORRONSORO DIAZ, BERNABE Erantzuleak 20202022
- GOMEZ-ULLATE OTEIZA, DAVID Arduraduna 20202022
- JIMENEZ DE LA JARA, JAVIER 20212022
- MAGAN CARRION, ROBERTO 20202020
- PRECIOSO GARCELAN, DANIEL 20212022
(4) proiektuarekin lotutako argitalpenak
Erakutsi tipologiaren arabera2024
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Automatic Software Tailoring for Optimal Performance
IEEE Transactions on Sustainable Computing
2023
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Obfuscating LLVM Intermediate Representation Source Code with NSGA-II
Lecture Notes in Networks and Systems
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Optimal battery management strategies for plug-in electric hybrid buses on routes including green corridors
Sustainable Cities and Society
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Neuroevolved bi-directional LSTM applied to zero emission zones management in urban transport
Applied Soft Computing