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1 Ergebnisse
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Multi-step histogram based outlier scores for unsupervised ..:
Aguilera Martos, Ignacio
;
García-Barzana, Marta
;
García Gil, Diego Jesús
...
Aguilera-Martos, I., García-Barzana, M., García-Gil, D., Carrasco, J., López, D., Luengo, J., & Herrera, F. (2023). Multi-step Histogram Based Outlier Scores for Unsupervised Anomaly Detection: ArcelorMittal Engineering Dataset Case of Study. Neurocomputing, 126228.. , 2023
Link:
https://hdl.handle.net/10481/82022
RT Journal T1 <Title>Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivgranada:oai:digibug.ugr.es:10481_82022&Exemplar=1&LAN=DE A1 Aguilera Martos, Ignacio A1 García-Barzana, Marta A1 García Gil, Diego Jesús A1 Carrasco Castillo, Jacinto A1 López Pretel, David A1 Luengo Martín, Julián A1 Herrera Triguero, Francisco PB Elsevier YR 2023 K1 Histograms K1 Anomaly detection K1 Unsupervised learning K1 Time series JF Aguilera-Martos, I., García-Barzana, M., García-Gil, D., Carrasco, J., López, D., Luengo, J., & Herrera, F. (2023). Multi-step Histogram Based Outlier Scores for Unsupervised Anomaly Detection: ArcelorMittal Engineering Dataset Case of Study. Neurocomputing, 126228. LK http://dx.doi.org/https://hdl.handle.net/10481/82022 DO https://hdl.handle.net/10481/82022 SF ELIB - SuUB Bremen
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