FOLD PROFILER: A MATLAB® - based program for fold shape classification. - Richard J. Lisle; Juan Luis Fernández Martínez; N. Bobillo-Ares; Omar Menéndez; Jesús Aller; Fernando Bastida (Comput. Geosci., 2006)

MTCLAB: A MATLAB®-based program for traveltime quality analysis and pre-inversion velocity tuning in 2D transmission tomography. - Juan Luis Fernández Martínez; J. P. Fernández-Alvarez; L. M. Pedruelo González (Comput. Geosci., 2008)

GenLab: A MATLAB®-based program for structural analysis of folds mapped by GPS or seismic methods. - Juan Luis Fernández Martínez; Richard J. Lisle (Comput. Geosci., 2009)

AMTCLAB: A MATLAB®-based program for traveltime analysis and velocity tuning in 2D elliptical anisotropic media. - Juan Luis Fernández Martínez; L. M. Pedruelo González; Esperanza García Gonzalo (Comput. Geosci., 2009)

The PSO family: deduction, stochastic analysis and comparison. - Juan Luis Fernández Martínez; Esperanza García Gonzalo (Swarm Intell., 2009)

Particle Swarm Optimization in High Dimensional Spaces. - Juan Luis Fernández Martínez; Tapan Mukerji; Esperanza García Gonzalo (ANTS Conference, 2010)

Two Algorithms of the Extended PSO Family. - Juan Luis Fernández Martínez; Esperanza García Gonzalo (IJCCI (ICEC), 2010)

PSO Advances and Application to Inverse Problems. - Juan Luis Fernández Martínez; Esperanza García Gonzalo (SEMCCO, 2010)

Particle Swarm Optimization and Inverse Problems. - Esperanza García Gonzalo; Juan Luis Fernández Martínez (SMPS, 2010)

Inverse Problems and Model Reduction Techniques. - Juan Luis Fernández Martínez; Michael Tompkins; Zulima Fernández-Muñiz; Tapan Mukerji (SMPS, 2010)

Geometric Sampling: An Approach to Uncertainty in High Dimensional Spaces. - Juan Luis Fernández Martínez; Michael Tompkins; Tapan Mukerji; David Alumbaugh (SMPS, 2010)

Posterior Sampling using Particle Swarm Optimizers and Model Reduction Techniques. - Juan Luis Fernández Martínez; Esperanza García Gonzalo; Zulima Fernández-Muñiz; Grégoire Mariéthoz; Tapan Mukerji (Int. J. Appl. Evol. Comput., 2010)

Particle Swarm Optimization: A Powerful Family of Stochastic Optimizers. Analysis, Design and Application to Inverse Modelling. - Juan Luis Fernández Martínez; Esperanza García Gonzalo; Saras Saraswathi; Robert L. Jernigan; Andrzej Kloczkowski (ICSI (1), 2011)

Uncertainty assessment for inverse problems in high dimensional spaces using particle swarm optimization and model reduction techniques. - Juan Luis Fernández Martínez; Tapan Mukerji; Esperanza García Gonzalo; Zulima Fernández-Muñiz (Math. Comput. Model., 2011)

Stochastic Stability Analysis of the Linear Continuous and Discrete PSO Models. - Juan Luis Fernández Martínez; Esperanza García Gonzalo (IEEE Trans. Evol. Comput., 2011)

Stochastic stability and numerical Analysis of Two Novel Algorithms of the PSO Family: pp-Gpso and RR-Gpso. - Juan Luis Fernández Martínez; Esperanza García Gonzalo (Int. J. Artif. Intell. Tools, 2012)

Aligned PSO for Optimization of Image Processing Methods Applied to the Face Recognition Problem. - Juan Luis Fernández Martínez; Ana Cernea; Esperanza García Gonzalo; Julián Velasco; Bijaya Ketan Panigrahi (SEMCCO (1), 2013)

Particle swarm optimisation: time for uniformisation. - Juan Luis Fernández Martínez; Esperanza García Gonzalo (Int. J. Comput. Sci. Math., 2013)

Convergence and stochastic stability analysis of particle swarm optimization variants with generic parameter distributions. - Esperanza García Gonzalo; Juan Luis Fernández Martínez (Appl. Math. Comput., 2014)

Unsupervised Ensemble Classification for Biometric Applications. - Ana Cernea; Juan Luis Fernández Martínez (Int. J. Pattern Recognit. Artif. Intell., 2014)

Numerical Analysis and Comparison of spectral Decomposition Methods in Biometric Applications. - Juan Luis Fernández Martínez; Ana Cernea (Int. J. Pattern Recognit. Artif. Intell., 2014)

Four-Points Particle Swarm Optimization Algorithms. - Esperanza García Gonzalo; Juan Luis Fernández Martínez; Ana Cernea (J. Multiple Valued Log. Soft Comput., 2014)

Design of Biomedical Robots for the Analysis of Cancer, Neurodegenerative and Rare Diseases. - Juan Luis Fernández Martínez; Enrique J. deAndrés-Galiana; Stephen T. Sonis (ICMMI, 2015)

Exploring the Uncertainty Space of Ensemble Classifiers in Face Recognition. - Juan Luis Fernández Martínez; Ana Cernea (Int. J. Pattern Recognit. Artif. Intell., 2015)

Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems. - Enrique J. deAndrés-Galiana; Juan Luis Fernández Martínez; Oscar Luaces; Juan José del Coz; Leticia Huergo-Zapico; Andrea Acebes-Huerta; Segundo González; Ana P. González-Rodríguez (J. Biomed. Informatics, 2016)

Sensitivity analysis of gene ranking methods in phenotype prediction. - Enrique J. deAndrés-Galiana; Juan Luis Fernández Martínez; Stephen T. Sonis (J. Biomed. Informatics, 2016)

Design of Biomedical Robots for Phenotype Prediction Problems. - Enrique J. deAndrés-Galiana; Juan Luis Fernández Martínez; Stephen T. Sonis (J. Comput. Biol., 2016)

Impact of Microarray Preprocessing Techniques in Unraveling Biological Pathways. - Enrique J. deAndrés-Galiana; Juan Luis Fernández Martínez; Leorey N. Saligan; Stephen T. Sonis (J. Comput. Biol., 2016)

On the Use of Principal Component Analysis and Particle Swarm Optimization in Protein Tertiary Structure Prediction. - Óscar Álvarez; Juan Luis Fernández Martínez; Celia Fernández-Brillet; Ana Cernea; Zulima Fernández-Muñiz; Andrzej Kloczkowski (ICAISC (2), 2018)

Protein Tertiary Structure Prediction via SVD and PSO Sampling. - Óscar Álvarez; Juan Luis Fernández Martínez; Ana Cernea; María Zulima Fernández-Muñiz; Andrzej Kloczkowski (IWBBIO (1), 2018)

Sampling Defective Pathways in Phenotype Prediction Problems via the Fisher's Ratio Sampler. - Ana Cernea; Juan Luis Fernández Martínez; Enrique J. deAndrés-Galiana; Francisco Javier Fernández-Ovies; Zulima Fernández-Muñiz; Óscar Álvarez-Machancoses; Leorey N. Saligan; Stephen T. Sonis (IWBBIO (2), 2018)

Comparison of Different Sampling Algorithms for Phenotype Prediction. - Ana Cernea; Juan Luis Fernández Martínez; Enrique J. deAndrés-Galiana; Francisco Javier Fernández-Ovies; Zulima Fernández-Muñiz; Óscar Álvarez-Machancoses; Leorey N. Saligan; Stephen T. Sonis (IWBBIO (2), 2018)

Sampling Defective Pathways in Phenotype Prediction Problems via the Holdout Sampler. - Juan Luis Fernández Martínez; Ana Cernea; Enrique J. deAndrés-Galiana; Francisco Javier Fernández-Ovies; Zulima Fernández-Muñiz; Óscar Álvarez-Machancoses; Leorey N. Saligan; Stephen T. Sonis (IWBBIO (2), 2018)

Particle Swarm Optimization and Uncertainty Assessment in Inverse Problems. - José L. G. Pallero; María Zulima Fernández-Muñiz; Ana Cernea; Óscar Álvarez-Machancoses; Luis Mariano Pedruelo-González; Sylvain Bonvalot; Juan Luis Fernández Martínez (Entropy, 2018)

Principal component analysis in protein tertiary structure prediction. - Óscar Álvarez; Juan Luis Fernández Martínez; Celia Fernández-Brillet; Ana Cernea; Zulima Fernández-Muñiz; Andrzej Kloczkowski (J. Bioinform. Comput. Biol., 2018)

Detection of Breast Cancer Using Infrared Thermography and Deep Neural Networks. - Francisco Javier Fernández-Ovies; Edwin Santiago Alférez-Baquero; Enrique Juan de Andrés-Galiana; Ana Cernea; Zulima Fernández-Muñiz; Juan Luis Fernández Martínez (IWBBIO (2), 2019)

Analysis of defective pathways and drug repositioning in Multiple Sclerosis via machine learning approaches. - Enrique J. deAndrés-Galiana; Guillermina Bea; Juan Luis Fernández Martínez; Leo N. Saligan (Comput. Biol. Medicine, 2019)

The Utilization of Different Classifiers to Perform Drug Repositioning in Inclusion Body Myositis Supports the Concept of Biological Invariance. - Óscar Álvarez-Machancoses; Enrique J. deAndrés-Galiana; Juan Luis Fernández Martínez; Andrzej Kloczkowski (ICAISC (1), 2020)

Anomaly shape inversion via model reduction and PSO. - Zulima Fernández-Muñiz; José L. G. Pallero; Juan Luis Fernández Martínez (Comput. Geosci., 2020)

The curse of dimensionality in inverse problems. - Juan Luis Fernández Martínez; Zulima Fernández-Muñiz (J. Comput. Appl. Math., 2020)

Robust pathway sampling in phenotype prediction. Application to triple negative breast cancer. - Ana Cernea; Juan Luis Fernández Martínez; Enrique J. deAndrés-Galiana; Francisco Javier Fernández-Ovies; Óscar Álvarez-Machancoses; Zulima Fernández-Muñiz; Leorey N. Saligan; Stephen T. Sonis (BMC Bioinform., 2020)

GravPSO2D: A Matlab package for 2D gravity inversion in sedimentary basins using the Particle Swarm Optimization algorithm. - José L. G. Pallero; Juan Luis Fernández Martínez; Zulima Fernández-Muñiz; Sylvain Bonvalot; Germinal Gabalda; T. Nalpas (Comput. Geosci., 2021)

Classification and prediction of bulk densities of states and chemical attributes with machine learning techniques. - Claudio Sánchez Pérez de Amézaga; Víctor M. García-Suárez; Juan Luis Fernández Martínez (Appl. Math. Comput., 2022)

Analysis of transcriptomic responses to SARS-CoV-2 reveals plausible defective pathways responsible for increased susceptibility to infection and complications and helps to develop fast-track repositioning of drugs against COVID-19. - Enrique J. deAndrés-Galiana; Juan Luis Fernández Martínez; Óscar Álvarez-Machancoses; Guillermina Bea; Carlos M. Galmarini; Andrzej Kloczkowski (Comput. Biol. Medicine, 2022)

Computational Models for COVID-19 Dynamics Prediction. - Andrzej Kloczkowski; Juan Luis Fernández Martínez; Zulima Fernández-Muñiz (ICAISC (2), 2023)

Prediction of Functional Effects of Protein Amino Acid Mutations. - Óscar Álvarez-Machancoses; Eshel Faraggi; Enrique J. de Andrés-Galiana; Juan Luis Fernández Martínez; Andrzej Kloczkowski (IWBBIO (2), 2023)