José Camacho
José Camacho
Associate Professor of Computer Networking, University of Granada
Verified email at ugr.es - Homepage
TitleCited byYear
Multi-phase principal component analysis for batch processes modelling
J Camacho, J Picó
Chemometrics and Intelligent Laboratory Systems 81 (2), 127-136, 2006
1012006
Online monitoring of batch processes using multi-phase principal component analysis
J Camacho, J Picó
Journal of Process Control 16 (10), 1021-1035, 2006
992006
Multi‐phase analysis framework for handling batch process data
J Camacho, J Picó, A Ferrer
Journal of Chemometrics: A Journal of the Chemometrics Society 22 (11‐12 …, 2008
712008
The best approaches in the on-line monitoring of batch processes based on PCA: Does the modelling structure matter?
J Camacho, J Picó, A Ferrer
Analytica chimica acta 642 (1-2), 59-68, 2009
70*2009
Data understanding with PCA: structural and variance information plots
J Camacho, J Picó, A Ferrer
Chemometrics and Intelligent Laboratory Systems 100 (1), 48-56, 2010
662010
Bilinear modelling of batch processes. Part I: theoretical discussion
J Camacho, J Picó, A Ferrer
Journal of Chemometrics: A Journal of the Chemometrics Society 22 (5), 299-308, 2008
562008
Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: theoretical aspects
J Camacho, A Ferrer
Journal of Chemometrics 26 (7), 361-373, 2012
482012
PCA-based multivariate statistical network monitoring for anomaly detection
J Camacho, A Pérez-Villegas, P García-Teodoro, G Maciá-Fernández
Computers & Security 59, 118-137, 2016
472016
Tackling the big data 4 vs for anomaly detection
J Camacho, G Macia-Fernandez, J Diaz-Verdejo, P Garcia-Teodoro
2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2014
432014
Multivariate exploratory data analysis (MEDA) toolbox for Matlab
J Camacho, A Pérez-Villegas, RA Rodríguez-Gómez, E Jiménez-Mañas
Chemometrics and Intelligent Laboratory Systems 143, 49-57, 2015
372015
Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: Practical Aspects.
J Camacho, A Ferrer
Chemometrics and Intelligent Laboratory Systems 131, 37-50, 2014
352014
Visualizing big data with compressed score plots: approach and research challenges
J Camacho
Chemometrics and Intelligent Laboratory Systems 135, 110-125, 2014
342014
Efficient impulsive noise suppression based on statistical confidence limits
JA Camacho, S Morillas, P Latorre
Journal of Imaging Science 50 (5), 427-436, 2006
322006
Observation‐based missing data methods for exploratory data analysis to unveil the connection between observations and variables in latent subspace models
J Camacho
Journal of Chemometrics 25 (11), 592-600, 2011
302011
Missing-data theory in the context of exploratory data analysis
J Camacho
Chemometrics and Intelligent Laboratory Systems 103 (1), 8-18, 2010
272010
Self‐tuning run to run optimization of fed‐batch processes using unfold‐PLS
J Camacho, J Picó, A Ferrer
AIChE journal 53 (7), 1789-1804, 2007
262007
Optimal relay placement in multi-hop wireless networks
R Magán-Carrión, RA Rodríguez-Gómez, J Camacho, P García-Teodoro
Ad Hoc Networks 46, 23-36, 2016
252016
Bilinear modelling of batch processes. Part II: a comparison of PLS soft‐sensors
J Camacho, J Picó, A Ferrer
Journal of Chemometrics: A Journal of the Chemometrics Society 22 (10), 533-547, 2008
252008
Model predictive control for batch processes: Ensuring validity of predictions
D Laurí, B Lennox, J Camacho
Journal of Process Control 24 (1), 239-249, 2014
232014
Determining the number of components in principal components analysis: A comparison of statistical, crossvalidation and approximated methods
E Saccenti, J Camacho
Chemometrics and Intelligent Laboratory Systems 149, 99-116, 2015
222015
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Articles 1–20