Using Proximity and Spatial Homogeneity in Neighbourhood-Based Classifiers. - José Salvador Sánchez 001; Filiberto Pla; Francesc J. Ferri (ICIAP (1), 1997)

On the equivalency between decision tree classifiers and the nearest neighbour rule. - José Salvador Sánchez 001; Filiberto Pla; Francesc J. Ferri (Inteligencia Artif., 1997)

Prototype selection for the nearest neighbour rule through proximity graphs. - José Salvador Sánchez 001; Filiberto Pla; Francesc J. Ferri (Pattern Recognit. Lett., 1997)

On the use of neighbourhood-based non-parametric classifiers. - José Salvador Sánchez 001; Filiberto Pla; Francesc J. Ferri (Pattern Recognit. Lett., 1997)

A Voronoi-diagram-based approach to oblique decision tree induction. - José Salvador Sánchez 001; Filiberto Pla; Francesc J. Ferri (ICPR, 1998)

From the Nearest Neighbour Rule to Decision Trees. - José Salvador Sánchez 001; Filiberto Pla; Francesc J. Ferri (IEA/AIE (Vol. 2), 1998)

Editing Prototypes in the Finite Sample Size Case Using Alternative Neighbourhoods. - Francesc J. Ferri; José Salvador Sánchez 001; Filiberto Pla (SSPR/SPR, 1998)

Improving the k-NCN classification rule through heuristic modifications. - José Salvador Sánchez 001; Filiberto Pla; Francesc J. Ferri (Pattern Recognit. Lett., 1998)

Learning Vector Quantization With Alternative Distance Criteria. - José Salvador Sánchez 001; Filiberto Pla; Francesc J. Ferri (ICIAP, 1999)

Using the Dual of Proximity Graphs for Binary Decision Tree Design. - José Salvador Sánchez 001; Filiberto Pla; M. C. Herrero (SSPR/SPR, 2000)

An integral automation of industrial fruit and vegetable sorting by machine vision. - Filiberto Pla; José Miguel Sanchiz Martí; José Salvador Sánchez 001 (ETFA (2), 2001)

Performance Evaluation of Prototype Selection Algorithms for Nearest Neighbor Classification. - José Salvador Sánchez 001; Ricardo Barandela; A. I. Marqués; Roberto Alejo (SIBGRAPI, 2001)

On Filtering the Training Prototypes in Nearest Neighbour Classification. - José Salvador Sánchez 001; Ricardo Barandela; Francesc J. Ferri (CCIA, 2002)

Object Recognition and Incremental Learning Algorithms for a Web-Based Telerobotic System. - Roque Marín; J. Salvador Sánchez 001; Pedro J. Sanz (ICRA, 2002)

A Very High Level Interface to Teleoperate a Robot via Web Including Augmented Reality. - Roque Marín; Pedro J. Sanz; J. Salvador Sánchez 001 (ICRA, 2002)

Advances in Pattern Recognition and Image Analysis - Editorial. - José Salvador Sánchez 001; Filiberto Pla (Int. J. Pattern Recognit. Artif. Intell., 2002)

Using the Geometrical Distribution of Prototypes for Training Set Condensing. - María Teresa Lozano; José Salvador Sánchez 001; Filiberto Pla (CAEPIA, 2003)

Restricted Decontamination for the Imbalanced Training Sample Problem. - Ricardo Barandela; E. Rangel; José Salvador Sánchez 001; Francesc J. Ferri (CIARP, 2003)

Learning from Imbalanced Sets through Resampling and Weighting. - Ricardo Barandela; José Salvador Sánchez 001; Vicente García 001; Francesc J. Ferri (IbPRIA, 2003)

Reducing Training Sets by NCN-based Exploratory Procedures. - María Teresa Lozano; José Salvador Sánchez 001; Filiberto Pla (IbPRIA, 2003)

Estimating Feature Weights For Distance-Based Classification. - José Martínez Sotoca; José Salvador Sánchez 001; Filiberto Pla (PRIS, 2003)

Exploring New Object Recognition Techniques for Online Robots. - Pedro J. Sanz; Roque Marín; J. Salvador Sánchez 001 (Robotics and Applications, 2003)

Fast object recognition methods for the UJI online robot. - Pedro J. Sanz; Roque Marín; J. Salvador Sánchez 001 (SMC, 2003)

New Applications of Ensembles of Classifiers. - Ricardo Barandela; Rosa Maria Valdovinos; José Salvador Sánchez 001 (Pattern Anal. Appl., 2003)

Strategies for learning in class imbalance problems. - Ricardo Barandela; José Salvador Sánchez 001; Vicente García 001; E. Rangel (Pattern Recognit., 2003)

Analysis of new techniques to obtain quality training sets. - José Salvador Sánchez 001; Ricardo Barandela; A. I. Marqués; Roberto Alejo; Jorge Badenas (Pattern Recognit. Lett., 2003)

Attribute Relevance in Multiclass Data Sets Using the Naive Bayes Rule. - José Martínez Sotoca; José Salvador Sánchez 001; Filiberto Pla (ICPR (3), 2004)

Efficient nearest neighbor classification with data reduction and fast search algorithms. - José Salvador Sánchez 001; José Martínez Sotoca; Filiberto Pla (SMC (5), 2004)

The Imbalanced Training Sample Problem: Under or over Sampling? - Ricardo Barandela; Rosa Maria Valdovinos; José Salvador Sánchez 001; Francesc J. Ferri (SSPR/SPR, 2004)

High training set size reduction by space partitioning and prototype abstraction. - José Salvador Sánchez 001 (Pattern Recognit., 2004)

Imbalanced Training Set Reduction and Feature Selection Through Genetic Optimization. - Ricardo Barandela; J. K. Hernández; José Salvador Sánchez 001; Francesc J. Ferri (CCIA, 2005)

Data Characterization for Effective Prototype Selection. - Ramón Alberto Mollineda; José Salvador Sánchez 001; José Martínez Sotoca (IbPRIA (2), 2005)

Dynamic and Static Weighting in Classifier Fusion. - Rosa Maria Valdovinos; José Salvador Sánchez 001; Ricardo Barandela (IbPRIA (2), 2005)

A Stochastic Approach to Wilson's Editing Algorithm. - Fernando Vázquez; José Salvador Sánchez 001; Filiberto Pla (IbPRIA (2), 2005)

Class-dependant resampling for medical applications. - Rosa Maria Valdovinos; José Salvador Sánchez 001 (ICMLA, 2005)

Decision boundary preserving prototype selection for nearest neighbor classification. - Ricardo Barandela; Francesc J. Ferri; José Salvador Sánchez 001 (Int. J. Pattern Recognit. Artif. Intell., 2005)

Including efficient object recognition capabilities in online robots: from a statistical to a Neural-network classifier. - Pedro J. Sanz; Roque Marín; J. Salvador Sánchez 001 (IEEE Trans. Syst. Man Cybern. Part C, 2005)

Improving the Classification Accuracy of RBF and MLP Neural Networks Trained with Imbalanced Samples. - Roberto Alejo; Vicente García 001; José Martínez Sotoca; Ramón Alberto Mollineda; José Salvador Sánchez 001 (IDEAL, 2006)

Combined Effects of Class Imbalance and Class Overlap on Instance-Based Classification. - Vicente García 001; Roberto Alejo; José Salvador Sánchez 001; José Martínez Sotoca; Ramón Alberto Mollineda (IDEAL, 2006)

Non Parametric Local Density-Based Clustering for Multimodal Overlapping Distributions. - Damaris Pascual; Filiberto Pla; José Salvador Sánchez 001 (IDEAL, 2006)

On the Use of Different Classification Rules in an Editing Task. - Luisa Micó; Francisco Moreno-Seco; José Salvador Sánchez 001; José Martínez Sotoca; Ramón Alberto Mollineda (SSPR/SPR, 2006)

Clustering Based on Compressed Data for Categorical and Mixed Attributes. - Eréndira Rendón; José Salvador Sánchez 001 (SSPR/SPR, 2006)

A meta-learning framework for pattern classification by means of data complexity measures. - José Martínez Sotoca; Ramón Alberto Mollineda; José Salvador Sánchez 001 (Inteligencia Artif., 2006)

On the Use of Labelled and Unlabelled Data to Improve Nearest Neighbor Classification. - Fernando Vázquez; José Salvador Sánchez 001; Filiberto Pla (Inteligencia Artif., 2006)

An LVQ-based adaptive algorithm for learning from very small codebooks. - José Salvador Sánchez 001; A. I. Marqués (Neurocomputing, 2006)

Complexity reduction in efficient prototype-based classification. - Francesc J. Ferri; José Salvador Sánchez 001; Filiberto Pla (Pattern Recognit., 2006)

Eliminating redundancy and irrelevance using a new MLP-based feature selection method. - Eduardo Gasca; José Salvador Sánchez 001; R. Alonso (Pattern Recognit., 2006)

Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces. - M. Lozano; José Martínez Sotoca; José Salvador Sánchez 001; Filiberto Pla; Elzbieta Pekalska; Robert P. W. Duin (Pattern Recognit., 2006)

An Empirical Study of the Behavior of Classifiers on Imbalanced and Overlapped Data Sets. - Vicente García 001; José Salvador Sánchez 001; Ramón Alberto Mollineda (CIARP, 2007)

Data reduction using classifier ensembles. - J. Salvador Sánchez 001; Ludmila I. Kuncheva (ESANN, 2007)

When Overlapping Unexpectedly Alters the Class Imbalance Effects. - Vicente García 001; Ramón Alberto Mollineda; José Salvador Sánchez 001; Roberto Alejo; José Martínez Sotoca (IbPRIA (2), 2007)

Performance Analysis of Classifier Ensembles: Neural Networks Versus Nearest Neighbor Rule. - Rosa Maria Valdovinos; José Salvador Sánchez 001 (IbPRIA (1), 2007)

Influence of Resampling and Weighting on Diversity and Accuracy of Classifier Ensembles. - Rosa Maria Valdovinos; José Salvador Sánchez 001; Eduardo Gasca (IbPRIA (2), 2007)

Improving the Performance of the RBF Neural Networks Trained with Imbalanced Samples. - Roberto Alejo; Vicente García 001; José Martínez Sotoca; Ramón Alberto Mollineda; José Salvador Sánchez 001 (IWANN, 2007)

An analysis of how training data complexity affects the nearest neighbor classifiers. - José Salvador Sánchez 001; Ramón Alberto Mollineda; José Martínez Sotoca (Pattern Anal. Appl., 2007)

Band Selection in Multispectral Images by Minimization of Dependent Information. - José Martínez Sotoca; Filiberto Pla; José Salvador Sánchez 001 (IEEE Trans. Syst. Man Cybern. Part C, 2007)

Cluster Stability Assessment Based on Theoretic Information Measures. - Damaris Pascual; Filiberto Pla; José Salvador Sánchez 001 (CIARP, 2008)

Learning and Forgetting with Local Information of New Objects. - Fernando Vázquez; José Salvador Sánchez 001; Filiberto Pla (CIARP, 2008)

Data Reduction Method for Categorical Data Clustering. - Eréndira Rendón; J. Salvador Sánchez 001; René Arnulfo García-Hernández; Itzel Abundez Barrera; Citlalih Gutierrez Estrada; Eduardo Gasca (IBERAMIA, 2008)

Nearest Neighbour Classifiers for Streaming Data with Delayed Labelling. - Ludmila I. Kuncheva; J. Salvador Sánchez 001 (ICDM, 2008)

A New Performance Evaluation Method for Two-Class Imbalanced Problems. - Vicente García 001; Ramón Alberto Mollineda; José Salvador Sánchez 001 (SSPR/SPR, 2008)

On the k-NN performance in a challenging scenario of imbalance and overlapping. - Vicente García 001; Ramón Alberto Mollineda; José Salvador Sánchez 001 (Pattern Anal. Appl., 2008)

Combining Multiple Classifiers with Dynamic Weighted Voting. - Rosa Maria Valdovinos; José Salvador Sánchez 001 (HAIS, 2009)

Index of Balanced Accuracy: A Performance Measure for Skewed Class Distributions. - Vicente García 001; Ramón Alberto Mollineda; José Salvador Sánchez 001 (IbPRIA, 2009)

Exploring Early Classification Strategies of Streaming Data with Delayed Attributes. - Mónica Millán-Giraldo; José Salvador Sánchez 001; V. Javier Traver (ICONIP (1), 2009)

A Density-based Hierarchical Clustering Algorithm for Highly Overlapped Distributions with Noisy Points. - Damaris Pascual; Filiberto Pla; José Salvador Sánchez 001 (CCIA, 2010)

Dissimilarity-based classification of data with missing attributes. - Mónica Millán-Giraldo; Robert P. W. Duin; José Salvador Sánchez 001 (CIP, 2010)

A Comparison of Techniques for Handling Incomplete Input Data with a Focus on Attribute Relevance Influence. - Mónica Millán-Giraldo; José Salvador Sánchez 001; V. Javier Traver (ICMLA, 2010)

Theoretical Analysis of a Performance Measure for Imbalanced Data. - Vicente García 001; Ramón Alberto Mollineda; José Salvador Sánchez 001 (ICPR, 2010)

Towards a More Realistic Appearance-Based Gait Representation for Gender Recognition. - Raúl Martín-Félez; Ramón Alberto Mollineda; José Salvador Sánchez 001 (ICPR, 2010)

Exploring the Performance of Resampling Strategies for the Class Imbalance Problem. - Vicente García 001; José Salvador Sánchez 001; Ramón Alberto Mollineda (IEA/AIE (1), 2010)

A Gender Recognition Experiment on the CASIA Gait Database Dealing with Its Imbalanced Nature. - Raúl Martín-Félez; Ramón Alberto Mollineda; José Salvador Sánchez 001 (VISAPP (2), 2010)

Cluster validation using information stability measures. - Damaris Pascual; Filiberto Pla; José Salvador Sánchez 001 (Pattern Recognit. Lett., 2010)

Classification of High Dimensional and Imbalanced Hyperspectral Imagery Data. - Vicente García 001; José Salvador Sánchez 001; Ramón Alberto Mollineda (IbPRIA, 2011)

Human Recognition Based on Gait Poses. - Raúl Martín-Félez; Ramón Alberto Mollineda; José Salvador Sánchez 001 (IbPRIA, 2011)

On-Line Classification of Data Streams with Missing Values Based on Reinforcement Learning. - Mónica Millán-Giraldo; Vicente Javier Traver; José Salvador Sánchez 001 (IbPRIA, 2011)

Exploring Synergetic Effects of Dimensionality Reduction and Resampling Tools on Hyperspectral Imagery Data Classification. - José Salvador Sánchez 001; Vicente García 001; Ramón Alberto Mollineda (MLDM, 2011)

On-line learning from streaming data with delayed attributes: a comparison of classifiers and strategies. - Mónica Millán-Giraldo; José Salvador Sánchez 001; V. Javier Traver (Neural Comput. Appl., 2011)

Gender Classification from Pose-Based GEIs. - Raúl Martín-Félez; Ramón Alberto Mollineda; José Salvador Sánchez 001 (ICCVG, 2012)

Improving Risk Predictions by Preprocessing Imbalanced Credit Data. - Vicente García 001; Ana Isabel Marqués; José Salvador Sánchez 001 (ICONIP (2), 2012)

Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods. - José Salvador Sánchez 001; Vicente García 001; Ana Isabel Marqués (ICONIP (2), 2012)

On the Suitability of Numerical Performance Measures for Class Imbalance Problems. - Vicente García 001; José Salvador Sánchez 001; Ramón Alberto Mollineda (ICPRAM (1), 2012)

Efficient Gait-based Gender Classification through Feature Selection. - Raúl Martín-Félez; Javier Ortells; Ramón Alberto Mollineda; José Salvador Sánchez 001 (ICPRAM (2), 2012)

Prototype Selection in Imbalanced Data for Dissimilarity Representation - A Preliminary Study. - Mónica Millán-Giraldo; Vicente García 001; José Salvador Sánchez 001 (ICPRAM (1), 2012)

Non-parametric Statistical Analysis of Machine Learning Methods for Credit Scoring. - Vicente García 001; A. I. Marqués; J. Salvador Sánchez 001 (IS-MiS, 2012)

One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices. - Mónica Millán-Giraldo; Vicente García 001; José Salvador Sánchez 001 (SSPR/SPR, 2012)

On the use of data filtering techniques for credit risk prediction with instance-based models. - Vicente García 001; A. I. Marqués; José Salvador Sánchez 001 (Expert Syst. Appl., 2012)

Exploring the behaviour of base classifiers in credit scoring ensembles. - A. I. Marqués; Vicente García 001; José Salvador Sánchez 001 (Expert Syst. Appl., 2012)

Two-level classifier ensembles for credit risk assessment. - A. I. Marqués; Vicente García 001; José Salvador Sánchez 001 (Expert Syst. Appl., 2012)

On the effectiveness of preprocessing methods when dealing with different levels of class imbalance. - Vicente García 001; José Salvador Sánchez 001; Ramón Alberto Mollineda (Knowl. Based Syst., 2012)

Surrounding neighborhood-based SMOTE for learning from imbalanced data sets. - Vicente García 001; José Salvador Sánchez 001; Raúl Martín-Félez; Ramón Alberto Mollineda (Prog. Artif. Intell., 2012)

Hybrid Associative Memories for Imbalanced Data Classification: An Experimental Study. - Laura Cleofas-Sánchez; Vicente García 001; Raúl Martín-Félez; Rosa M. Valdovinos R.; José Salvador Sánchez 001; Oscar Camacho Nieto (MCPR, 2013)

On the suitability of resampling techniques for the class imbalance problem in credit scoring. - Ana Isabel Marqués; Vicente García 001; José Salvador Sánchez 001 (J. Oper. Res. Soc., 2013)

A literature review on the application of evolutionary computing to credit scoring. - A. I. Marqués; Vicente García 001; José Salvador Sánchez 001 (J. Oper. Res. Soc., 2013)

Designing serious games for learning support in medicine studies: A specific method to elicit and formalize requirements. - Oscar Colteli; Ximo Grandi; Ricardo Tosca; Pedro Latorre-Carmona; José Salvador Sánchez 001; Luis Vicente Lizan; Francisco Ros-Bernal; Conrrado Martinez-Cadenas (FIE, 2014)

Advances in pattern recognition applications and methods. - Pedro Latorre-Carmona; J. Salvador Sánchez 001; Ana L. N. Fred (Neurocomputing, 2014)

A bias correction function for classification performance assessment in two-class imbalanced problems. - Vicente García 001; Ramón Alberto Mollineda; José Salvador Sánchez 001 (Knowl. Based Syst., 2014)

Dissimilarity-Based Learning from Imbalanced Data with Small Disjuncts and Noise. - Vicente García 001; José Salvador Sánchez 001; Humberto de Jesús Ochoa Domínguez; Laura Cleofas-Sánchez (IbPRIA, 2015)

Mapping microarray gene expression data into dissimilarity spaces for tumor classification. - Vicente García 001; José Salvador Sánchez 001 (Inf. Sci., 2015)

An insight into the experimental design for credit risk and corporate bankruptcy prediction systems. - Vicente García 001; Ana Isabel Marqués; José Salvador Sánchez 001 (J. Intell. Inf. Syst., 2015)

Model Selection for Financial Distress Prediction by Aggregating TOPSIS and PROMETHEE Rankings. - Vicente García 001; Ana Isabel Marqués; Laura Cleofas-Sánchez; José Salvador Sánchez 001 (HAIS, 2016)

Financial distress prediction using the hybrid associative memory with translation. - Laura Cleofas-Sánchez; Vicente García 001; A. I. Marqués; José Salvador Sánchez 001 (Appl. Soft Comput., 2016)

Associative learning on imbalanced environments: An empirical study. - Laura Cleofas-Sánchez; José Salvador Sánchez 001; Vicente García 001; Rosa M. Valdovinos R. (Expert Syst. Appl., 2016)

An Insight on the 'Large G, Small n' Problem in Gene-Expression Microarray Classification. - Vicente García 001; José Salvador Sánchez 001; Laura Cleofas-Sánchez; Humberto de Jesús Ochoa Domínguez; Francisco López-Orozco (IbPRIA, 2017)

A Hybrid Feature Extraction Method for Offline Handwritten Math Symbol Recognition. - Carlos Ramírez Piña; José Salvador Sánchez 001; Rosa María Valdovinos Rosas; José Antonio Hernández Servín (CIARP, 2018)

Addressing the Links Between Dimensionality and Data Characteristics in Gene-Expression Microarrays. - J. Salvador Sánchez 001; Vicente García 001 (LOPAL, 2018)

Performance Analysis of Deep Neural Networks for Classification of Gene-Expression Microarrays. - Adriana Reyes-Nava; J. Salvador Sánchez 001; Roberto Alejo; Allan Flores-Fuentes; Eréndira Rendón Lara (MCPR, 2018)

A regression model based on the nearest centroid neighborhood. - Vicente García 001; J. Salvador Sánchez 001; A. I. Marqués; Rafael Martínez-Peláez (Pattern Anal. Appl., 2018)

Instance Selection for the Nearest Neighbor Classifier: Connecting the Performance to the Underlying Data Structure. - Vicente García 001; José Salvador Sánchez 001; Alberto Ochoa Ortíz; Abraham López-Najera (IbPRIA (1), 2019)

Weighted Complete Graphs for Condensing Data. - Angélica Guzmán Ponce; José Raymundo Marcial-Romero; Rosa María Valdovinos Rosas; J. Salvador Sánchez 001 (LANMR (Selected Papers), 2019)

Empirical Study of the Associative Approach in the Context of Classification Problems. - Laura Cleofas-Sánchez; Anabel Pineda Briseño; Rosa María Valdovinos Rosas; José Salvador Sánchez 001; Vicente García Jiménez; Oscar Camacho Nieto; Héctor M. Pérez Meana; Mariko Nakano-Miyatake (Computación y Sistemas, 2019)

Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction. - Vicente García 001; Ana Isabel Marqués; J. Salvador Sánchez 001 (Inf. Fusion, 2019)

Online reconstruction-free single-pixel image classification. - Pedro Latorre-Carmona; V. Javier Traver; José Salvador Sánchez 001; Enrique Tajahuerce (Image Vis. Comput., 2019)

Using regression models for predicting the product quality in a tubing extrusion process. - Vicente García 001; J. Salvador Sánchez 001; Luis Alberto Rodríguez-Picón; Luis Carlos Méndez-González; Humberto de Jesús Ochoa Domínguez (J. Intell. Manuf., 2019)

Gene selection and disease prediction from gene expression data using a two-stage hetero-associative memory. - Laura Cleofas-Sánchez; J. Salvador Sánchez 001; Vicente García 001 (Prog. Artif. Intell., 2019)

A Cluster-Based Under-Sampling Algorithm for Class-Imbalanced Data. - Angélica Guzmán Ponce; Rosa Maria Valdovinos; J. Salvador Sánchez 001 (HAIS, 2020)

Graphical Framework for Categorizing Data Capabilities and Properties of Objects in the Internet of Things. - Jorge Eduardo Ibarra Esquer; Félix Fernando González-Navarro; J. Salvador Sánchez 001; Brenda Leticia Flores Ríos; María Angélica Astorga Vargas; Maria Luisa González-Ramírez (IEEE Access, 2020)

Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data. - Vicente García 001; J. Salvador Sánchez 001; A. I. Marqués; Rogelio Florencia Juárez; Gilberto Rivera Zárate (Expert Syst. Appl., 2020)

Ranking-based MCDM models in financial management applications: analysis and emerging challenges. - Ana Isabel Marqués; Vicente García 001; José Salvador Sánchez 001 (Prog. Artif. Intell., 2020)

Editorial for special section at Pattern Recognition Letters - IbPRIA 2019. - Manuel J. Marín-Jiménez; Aythami Morales; Julian Fiérrez; Antonio Pertusa; Hugo Proença 001; José Salvador Sánchez 001 (Pattern Recognit. Lett., 2020)

Identifying Optimal Clusters in Purchase Transaction Data. - Laura Cleofas-Sánchez; Anabel Pineda Briseño; J. Salvador Sánchez 001 (MICAI (1), 2021)

Revisiting the Dissimilarity Representation in the Context of Regression. - Vicente García 001; J. Salvador Sánchez 001; Rafael Martínez-Peláez; Luis Carlos Méndez-González (IEEE Access, 2021)

DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem. - Angélica Guzmán Ponce; José Salvador Sánchez 001; Rosa Maria Valdovinos; José Raymundo Marcial-Romero (Expert Syst. Appl., 2021)

Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19. - Ricardo Mar-Cupido; Vicente García 001; Gilberto Rivera; J. Salvador Sánchez 001 (Appl. Soft Comput., 2022)

A survey on uncertainty quantification in deep learning for financial time series prediction. - Txus Blasco; J. Salvador Sánchez 001; Vicente García 001 (Neurocomputing, 2024)