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José Camacho
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UGR ‘16: A new dataset for the evaluation of cyclostationarity-based network IDSs
G Maciá-Fernández, J Camacho, R Magán-Carrión, P García-Teodoro, ...
Computers & Security 73, 411-424, 2018
2252018
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
1582016
Multi-phase principal component analysis for batch processes modelling
J Camacho, J Picó
Chemometrics and Intelligent Laboratory Systems 81 (2), 127-136, 2006
1242006
Online monitoring of batch processes using multi-phase principal component analysis
J Camacho, J Picó
Journal of Process Control 16 (10), 1021-1035, 2006
1212006
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
1132010
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
103*2009
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
872008
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
752014
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
742008
Lactobacillus reuteri V3401 Reduces Inflammatory Biomarkers and Modifies the Gastrointestinal Microbiome in Adults with Metabolic Syndrome: The PROSIR Study
C Tenorio-Jiménez, MJ Martínez-Ramírez, I Del Castillo-Codes, ...
Nutrients 11 (8), 1761, 2019
662019
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
652012
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
612015
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
612014
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
542016
Visualizing big data with compressed score plots: approach and research challenges
J Camacho
Chemometrics and Intelligent Laboratory Systems 135, 110-125, 2014
542014
PLS-DA vs sparse PLS-DA in food traceability. A case study: Authentication of avocado samples
AM Jiménez-Carvelo, S Martín-Torres, F Ortega-Gavilán, J Camacho
Talanta 224, 121904, 2021
492021
Semi-supervised multivariate statistical network monitoring for learning security threats
J Camacho, G Maciá-Fernández, NM Fuentes-García, E Saccenti
IEEE Transactions on Information Forensics and Security 14 (8), 2179-2189, 2019
472019
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
472015
Evaluation of diagnosis methods in PCA-based Multivariate Statistical Process Control
M Fuentes-García, G Maciá-Fernández, J Camacho
Chemometrics and Intelligent Laboratory Systems 172, 194-210, 2018
432018
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
402011
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Articles 1–20