| Quadratic programming feature selection I Rodriguez-Lujan, R Huerta, C Elkan, CS Cruz The Journal of Machine Learning Research 11, 1491-1516, 2010 | 269 | 2010 |
| On the calibration of sensor arrays for pattern recognition using the minimal number of experiments I Rodriguez-Lujan, J Fonollosa, A Vergara, M Homer, R Huerta Chemometrics and Intelligent Laboratory Systems 130, 123-134, 2014 | 209 | 2014 |
| Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring R Huerta, T Mosqueiro, J Fonollosa, NF Rulkov, I Rodriguez-Lujan Chemometrics and Intelligent Laboratory Systems 157, 169-176, 2016 | 137 | 2016 |
| Chemical discrimination in turbulent gas mixtures with mox sensors validated by gas chromatography-mass spectrometry J Fonollosa, I Rodríguez-Luján, M Trincavelli, A Vergara, R Huerta Sensors 14 (10), 19336-19353, 2014 | 81 | 2014 |
| Analysis of pattern recognition and dimensionality reduction techniques for odor biometrics I Rodriguez-Lujan, G Bailador, C Sanchez-Avila, A Herrero, ... Knowledge-Based Systems 52, 279-289, 2013 | 53 | 2013 |
| Chemical gas sensor array dataset J Fonollosa, I Rodríguez-Luján, R Huerta Data in brief 3, 85-89, 2015 | 43 | 2015 |
| Human activity monitoring using gas sensor arrays J Fonollosa, I Rodriguez-Lujan, AV Shevade, ML Homer, MA Ryan, ... Sensors and Actuators B: Chemical 199, 398-402, 2014 | 33 | 2014 |
| Hierarchical linear support vector machine I Rodriguez-Lujan, C Santa Cruz, R Huerta Pattern recognition 45 (12), 4414-4427, 2012 | 25 | 2012 |
| On the equivalence of kernel Fisher discriminant analysis and kernel quadratic programming feature selection I Rodriguez-Lujan, C Santa Cruz, R Huerta Pattern recognition letters 32 (11), 1567-1571, 2011 | 14 | 2011 |
| Dataset from chemical gas sensor array in turbulent wind tunnel J Fonollosa, I Rodríguez-Luján, M Trincavelli, R Huerta Data in Brief 3, 169-174, 2015 | 10 | 2015 |
| Site Maintained By Y Li, Y Jiang, J Paxman, R O’Laughlin, S Klepin, Y Zhu, L Pillus, ... Science advances 2020 (6), 2020 | 9 | 2020 |
| Data set from chemical sensor array exposed to turbulent gas mixtures J Fonollosa, I Rodríguez-Luján, M Trincavelli, R Huerta Data in brief 3, 216-220, 2015 | 6 | 2015 |
| A Fisher consistent multiclass loss function with variable margin on positive examples I Rodriguez-Lujan, R Huerta | 4 | 2015 |
| FBB: a fast Bayesian-bound tool to calibrate RNA-seq aligners I Rodriguez-Lujan, J Hasty, R Huerta Bioinformatics 33 (2), 210-218, 2017 | 1 | 2017 |
| Machine learning methods in electronic nose analysis I Rodriguez Lujan, J Fonollosa Magrinyà, R Huerta book of proceedings, 2016 | 1 | 2016 |
| A practical view of large-scale classification: feature selection and real-time classification IR Luján Universidad Autónoma de Madrid, 2012 | 1 | 2012 |
| Selección de variables mediante programación cuadrática IR Luján, CSC Fernández Departamento de Ingeniería Informática. Madrid Universidad Autónoma de …, 2009 | 1 | 2009 |
| Author's Accepted Manuscript J Fonollosa, I Rodríguez-Luján, M Trincavelli, R Huerta | | 2015 |
| An Algorithm for Matching Heterogeneous Financial Databases: A Case Study for COMPUSTAT/CRSP and I/B/E/S Databases I Rodriguez-Lujan, R Huerta B/E/S Databases (June 19, 2014), 2014 | | 2014 |
| Selección de variables mediante programación cuadrática I Rodríguez-Luján | | 2009 |
Ramon HuertaSenior Principal Scientist, AmazonVerified email at amazon.com
