| 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 | 278 | 2018 |
| 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 | 172 | 2016 |
| 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 | 127 | 2010 |
| Multi-phase principal component analysis for batch processes modelling J Camacho, J Picó Chemometrics and Intelligent Laboratory Systems 81 (2), 127-136, 2006 | 126 | 2006 |
| Online monitoring of batch processes using multi-phase principal component analysis J Camacho, J Picó Journal of Process Control 16 (10), 1021-1035, 2006 | 122 | 2006 |
| 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 | 109* | 2009 |
| 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 | 87 | 2019 |
| 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 | 87 | 2008 |
| 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 | 84 | 2014 |
| 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 | 78 | 2008 |
| 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 | 67 | 2021 |
| 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 | 67 | 2015 |
| 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 | 67 | 2012 |
| 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 | 66 | 2014 |
| Visualizing big data with compressed score plots: approach and research challenges J Camacho Chemometrics and Intelligent Laboratory Systems 135, 110-125, 2014 | 58 | 2014 |
| 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 | 57 | 2019 |
| 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 | 56 | 2016 |
| 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 | 55 | 2015 |
| Present and future of network security monitoring M Fuentes-García, J Camacho, G Maciá-Fernández IEEE Access 9, 112744-112760, 2021 | 47 | 2021 |
| 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 | 47 | 2018 |
Gabriel Maciá-FernándezUniversity of Granada - CITICDirección de correo verificada de ugr.es