المؤلفون: Drouard M., Pérez-Aracil J., Barriopedro, David, Zaninelli P.G., Garrido-Perez J.M., Fister D., Salcedo-Sanz S., García-Herrera R.

العلاقة: Publisher's version; http://dx.doi.org/10.5194/egusphere-egu23-5742Test; Sí; http://hdl.handle.net/10261/347144Test

الإتاحة: https://doi.org/10.5194/egusphere-egu23-5742Test
http://hdl.handle.net/10261/347144Test

المؤلفون: Zaninelli P.G., Barriopedro, David, Drouard M., Garrido-Pérez J.M., Pérez-Aracil J., Fister D., García-Herrera R., Salcedo-Sanz S., Alvarez-Castro, M.C.

العلاقة: Publisher's version; http://dx.doi.org/10.5194/egusphere-egu23-6732Test; Sí; http://hdl.handle.net/10261/342730Test

الإتاحة: https://doi.org/10.5194/egusphere-egu23-6732Test
http://hdl.handle.net/10261/342730Test

المؤلفون: Fister, D., Pérez Aracil, J., Peláez Rodríguez, C., Del Ser Lorente, Javier, Salcedo Sanz, S.

المساهمون: European Commission

مصطلحات موضوعية: deep learning, temperature prediction, recurrence plots, data reduction techniques

وصف الملف: application/pdf

العلاقة: info:eu-repo/grantAgreement/EC/H2020/101003876; info:eu-repo/grantAgreement/MICINN/PID2020-115454GB-C21; https://www.sciencedirect.com/science/article/pii/S1568494623001369Test; Applied Soft Computing 136 : (2023) // Article ID 110118; http://hdl.handle.net/10810/61608Test

الإتاحة: https://doi.org/10.1016/j.asoc.2023.110118Test
http://hdl.handle.net/10810/61608Test

المؤلفون: Salcedo-Sanz S, Ascenso G., Del Ser J., Casillas-Pérez D., Kadow C., Fister D., Barriopedro D., García-Herrera R., Giuliani M., Castelletti A.

المساهمون: Ministerio de Ciencia e Innovación (España), Eusko Jaurlaritza

العلاقة: #PLACEHOLDER_PARENT_METADATA_VALUE#; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115454GB-C21/ES/NUEVOS ALGORITMOS NEURO-EVOLUTIVOS PARA CLASIFICACION ORDINAL: APLICACIONES EN CLIMA, ENERGIAS LIMPIAS Y MEDIO AMBIENTE/; Publisher's version; Sí; Theorectical and Applied Climatology 1: 1 (2023); http://hdl.handle.net/10261/335316Test

الإتاحة: http://hdl.handle.net/10261/335316Test

المؤلفون: Peláez-Rodríguez, C., Pérez-Aracil, J., de Lopez-Diz, A., Casanova-Mateo, C., Fister, D., Jiménez-Fernández, S., Salcedo-Sanz, S.

المصدر: Neurocomputing ; volume 549, page 126435 ; ISSN 0925-2312

مصطلحات موضوعية: Artificial Intelligence, Cognitive Neuroscience, Computer Science Applications

الإتاحة: https://doi.org/10.1016/j.neucom.2023.126435Test
https://api.elsevier.com/content/article/PII:S0925231223005581?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0925231223005581?httpAccept=text/plainTest

المؤلفون: Fister Jr., I., Yang, X. S., Fister, D., Fister, I.

المصدر: Cuckoo Search and Firefly Algorithm: Theory and Applications, Studies in Computational Intelligence, vol. 516, pp. 49-62 (2014)

مصطلحات موضوعية: Mathematics - Optimization and Control, Computer Science - Neural and Evolutionary Computing, Nonlinear Sciences - Adaptation and Self-Organizing Systems, 90C26

الوصول الحر: http://arxiv.org/abs/1408.5343Test

المؤلفون: Jagrič, T, Brown, C, Fister, D, Darlington, O, Ashton, K, Dyakova, M, Bellis, MA, Jagrič, V

مصطلحات موضوعية: RA0421 Public health. Hygiene. Preventive Medicine

وصف الملف: text

العلاقة: https://researchonline.ljmu.ac.uk/id/eprint/18448/1/fpubh-10-953752.pdfTest; Jagrič, T, Brown, C, Fister, D, Darlington, O, Ashton, K, Dyakova, M, Bellis, MA and Jagrič, V (2022) Toward an economy of wellbeing: The economic impact of the Welsh healthcare sector. Frontiers in Public Health, 10. ISSN 2296-2565

الإتاحة: https://doi.org/10.3389/fpubh.2022.953752Test
http://researchonline.ljmu.ac.uk/id/eprint/18448Test/
https://researchonline.ljmu.ac.uk/id/eprint/18448/1/fpubh-10-953752.pdfTest

المؤلفون: Peláez-Rodríguez, C., Pérez-Aracil, J., Fister, D., Prieto-Godino, L., Deo, R.C., Salcedo-Sanz, S.

المصدر: Renewable Energy

مصطلحات موضوعية: Renewable Energy, Sustainability and the Environment

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7988a75fabaaa00b87d8f432133c379eTest
https://doi.org/10.1016/j.renene.2022.11.042Test

المؤلفون: Fister,D., Mun, J.C., Jagri, V., Jagri, T.

المساهمون: Naval Postgraduate School, Business & Public Policy (GSBPP)

وصف الملف: 21 p.; application/pdf

العلاقة: Fister, D., et al. "Deep Learning for Stock Market Trading: A Superior Trading Strategy?." Neural Network World 29.3 (2019): 151-171.; https://hdl.handle.net/10945/64994Test

الإتاحة: https://hdl.handle.net/10945/64994Test

المؤلفون: Fister, D., Mun, J. C., Jagrič, V., Jagrič, T.

المصدر: Neural Network World; 2019, Issue 3, p151-171, 21p

مصطلحات موضوعية: STOCKS (Finance), STOCK exchanges, BLUE chip stocks, SHORT-term memory, DEEP learning, MACHINE learning