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Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study.

I. Aguilera-Martos, M. García-Bárzana, D. García-Gil, J. Carrasco, D. López, J. Luengo, and F. Herrera. Neurocomputing, (August 2023)

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Andreas Martos

Carlos Aguilera

Máximo Aguilera

Jorge Aguilera Iparraguirre

Ab initio calculations of hydrocarbon thermochemistry and reaction kineticsJ. Aguilera Iparraguirre. Uni Karlsruhe, (2009)

Ignacio Cirac

Other publications of authors with the same name

TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning.I. Aguilera-Martos, Á. García-Vico, J. Luengo, S. Damas, F. Melero, J. Valle-Alonso, and F. Herrera. Neurocomputing, (2023)Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series.D. López, I. Aguilera-Martos, M. García-Bárzana, F. Herrera, D. García-Gil, and J. Luengo. Inf. Fusion, (December 2023)Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms.J. Carrasco, D. López, I. Aguilera-Martos, D. García-Gil, I. Markova, M. García-Bárzana, M. Arias-Rodil, J. Luengo, and F. Herrera. Neurocomputing, (2021)TSFEDL: A Python Library for Time Series Spatio-Temporal Feature Extraction and Prediction using Deep Learning (with Appendices on Detailed Network Architectures and Experimental Cases of Study).I. Aguilera-Martos, Á. García-Vico, J. Luengo, S. Damas, F. Melero, J. Valle-Alonso, and F. Herrera. CoRR, (2022)Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses.I. Aguilera-Martos, J. Luengo, and F. Herrera. HAIS, volume 14001 of Lecture Notes in Computer Science, page 39-48. Springer, (2023)FLEX: FLEXible Federated Learning Framework.F. Herrera, D. Jiménez-López, A. Argente-Garrido, N. Barroso, C. Zuheros, I. Aguilera-Martos, B. Bello, M. García-Márquez, and M. Luzón. CoRR, (2024)Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study.I. Aguilera-Martos, M. García-Bárzana, D. García-Gil, J. Carrasco, D. López, J. Luengo, and F. Herrera. Neurocomputing, (August 2023)

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Disambiguation of "Aguilera-Martos, Ignacio"

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Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study.

Please choose a person to relate this publication to

Andreas Martos

Carlos Aguilera

Máximo Aguilera

Jorge Aguilera Iparraguirre

Ignacio Cirac

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Aguilera-Martos, Ignacio"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study.

Please choose a person to relate this publication to

Andreas Martos

Carlos Aguilera

Máximo Aguilera

Jorge Aguilera Iparraguirre

Ignacio Cirac

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study.