J. Salvador Sánchez

According to our database1, J. Salvador Sánchez authored at least 119 papers between 1997 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Editorial for special section at Pattern Recognition Letters - IbPRIA 2019.
Pattern Recognit. Lett., 2020

Ranking-based MCDM models in financial management applications: analysis and emerging challenges.
Prog. Artif. Intell., 2020

Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data.
Expert Syst. Appl., 2020

Graphical Framework for Categorizing Data Capabilities and Properties of Objects in the Internet of Things.
IEEE Access, 2020

A Cluster-Based Under-Sampling Algorithm for Class-Imbalanced Data.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

2019
Gene selection and disease prediction from gene expression data using a two-stage hetero-associative memory.
Prog. Artif. Intell., 2019

Using regression models for predicting the product quality in a tubing extrusion process.
J. Intell. Manuf., 2019

Online reconstruction-free single-pixel image classification.
Image Vis. Comput., 2019

Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction.
Inf. Fusion, 2019

Empirical Study of the Associative Approach in the Context of Classification Problems.
Computación y Sistemas, 2019

Instance Selection for the Nearest Neighbor Classifier: Connecting the Performance to the Underlying Data Structure.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

2018
A regression model based on the nearest centroid neighborhood.
Pattern Anal. Appl., 2018

Performance Analysis of Deep Neural Networks for Classification of Gene-Expression Microarrays.
Proceedings of the Pattern Recognition - 10th Mexican Conference, 2018

Addressing the Links Between Dimensionality and Data Characteristics in Gene-Expression Microarrays.
Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018

A Hybrid Feature Extraction Method for Offline Handwritten Math Symbol Recognition.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2017
An Insight on the 'Large G, Small n' Problem in Gene-Expression Microarray Classification.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

2016
Associative learning on imbalanced environments: An empirical study.
Expert Syst. Appl., 2016

Financial distress prediction using the hybrid associative memory with translation.
Appl. Soft Comput., 2016

Model Selection for Financial Distress Prediction by Aggregating TOPSIS and PROMETHEE Rankings.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

2015
An insight into the experimental design for credit risk and corporate bankruptcy prediction systems.
J. Intell. Inf. Syst., 2015

Mapping microarray gene expression data into dissimilarity spaces for tumor classification.
Inf. Sci., 2015

Dissimilarity-Based Learning from Imbalanced Data with Small Disjuncts and Noise.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

2014
A bias correction function for classification performance assessment in two-class imbalanced problems.
Knowl. Based Syst., 2014

Advances in pattern recognition applications and methods.
Neurocomputing, 2014

Designing serious games for learning support in medicine studies: A specific method to elicit and formalize requirements.
Proceedings of the IEEE Frontiers in Education Conference, 2014

2013
A literature review on the application of evolutionary computing to credit scoring.
J. Oper. Res. Soc., 2013

On the suitability of resampling techniques for the class imbalance problem in credit scoring.
J. Oper. Res. Soc., 2013

Hybrid Associative Memories for Imbalanced Data Classification: An Experimental Study.
Proceedings of the Pattern Recognition - 5th Mexican Conference, 2013

2012
Surrounding neighborhood-based SMOTE for learning from imbalanced data sets.
Prog. Artif. Intell., 2012

On the effectiveness of preprocessing methods when dealing with different levels of class imbalance.
Knowl. Based Syst., 2012

Two-level classifier ensembles for credit risk assessment.
Expert Syst. Appl., 2012

Exploring the behaviour of base classifiers in credit scoring ensembles.
Expert Syst. Appl., 2012

On the use of data filtering techniques for credit risk prediction with instance-based models.
Expert Syst. Appl., 2012

One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Non-parametric Statistical Analysis of Machine Learning Methods for Credit Scoring.
Proceedings of the Management Intelligent Systems - First International Symposium, 2012

Prototype Selection in Imbalanced Data for Dissimilarity Representation - A Preliminary Study.
Proceedings of the ICPRAM 2012, 2012

Efficient Gait-based Gender Classification through Feature Selection.
Proceedings of the ICPRAM 2012, 2012

On the Suitability of Numerical Performance Measures for Class Imbalance Problems.
Proceedings of the ICPRAM 2012, 2012

Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Improving Risk Predictions by Preprocessing Imbalanced Credit Data.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Gender Classification from Pose-Based GEIs.
Proceedings of the Computer Vision and Graphics - International Conference, 2012

2011
On-line learning from streaming data with delayed attributes: a comparison of classifiers and strategies.
Neural Comput. Appl., 2011

Exploring Synergetic Effects of Dimensionality Reduction and Resampling Tools on Hyperspectral Imagery Data Classification.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

On-Line Classification of Data Streams with Missing Values Based on Reinforcement Learning.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

Human Recognition Based on Gait Poses.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

Classification of High Dimensional and Imbalanced Hyperspectral Imagery Data.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

2010
Cluster validation using information stability measures.
Pattern Recognit. Lett., 2010

A Gender Recognition Experiment on the CASIA Gait Database Dealing with Its Imbalanced Nature.
Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

Exploring the Performance of Resampling Strategies for the Class Imbalance Problem.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Towards a More Realistic Appearance-Based Gait Representation for Gender Recognition.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Theoretical Analysis of a Performance Measure for Imbalanced Data.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

A Comparison of Techniques for Handling Incomplete Input Data with a Focus on Attribute Relevance Influence.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Dissimilarity-based classification of data with missing attributes.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

A Density-based Hierarchical Clustering Algorithm for Highly Overlapped Distributions with Noisy Points.
Proceedings of the Artificial Intelligence Research and Development, 2010

2009
Exploring Early Classification Strategies of Streaming Data with Delayed Attributes.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Index of Balanced Accuracy: A Performance Measure for Skewed Class Distributions.
Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009

Combining Multiple Classifiers with Dynamic Weighted Voting.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

2008
On the <i>k</i>-NN performance in a challenging scenario of imbalance and overlapping.
Pattern Anal. Appl., 2008

A New Performance Evaluation Method for Two-Class Imbalanced Problems.
Proceedings of the Structural, 2008

Nearest Neighbour Classifiers for Streaming Data with Delayed Labelling.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Data Reduction Method for Categorical Data Clustering.
Proceedings of the Advances in Artificial Intelligence, 2008

Learning and Forgetting with Local Information of New Objects.
Proceedings of the Progress in Pattern Recognition, 2008

Cluster Stability Assessment Based on Theoretic Information Measures.
Proceedings of the Progress in Pattern Recognition, 2008

2007
Band Selection in Multispectral Images by Minimization of Dependent Information.
IEEE Trans. Syst. Man Cybern. Part C, 2007

An analysis of how training data complexity affects the nearest neighbor classifiers.
Pattern Anal. Appl., 2007

Improving the Performance of the RBF Neural Networks Trained with Imbalanced Samples.
Proceedings of the Computational and Ambient Intelligence, 2007

Influence of Resampling and Weighting on Diversity and Accuracy of Classifier Ensembles.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

Performance Analysis of Classifier Ensembles: Neural Networks <i>Versus</i> Nearest Neighbor Rule.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

When Overlapping Unexpectedly Alters the Class Imbalance Effects.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

Data reduction using classifier ensembles.
Proceedings of the ESANN 2007, 2007

An Empirical Study of the Behavior of Classifiers on Imbalanced and Overlapped Data Sets.
Proceedings of the Progress in Pattern Recognition, 2007

2006
Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces.
Pattern Recognit., 2006

Eliminating redundancy and irrelevance using a new MLP-based feature selection method.
Pattern Recognit., 2006

Complexity reduction in efficient prototype-based classification.
Pattern Recognit., 2006

An LVQ-based adaptive algorithm for learning from very small codebooks.
Neurocomputing, 2006

On the Use of Labelled and Unlabelled Data to Improve Nearest Neighbor Classification.
Inteligencia Artif., 2006

A meta-learning framework for pattern classification by means of data complexity measures.
Inteligencia Artif., 2006

Clustering Based on Compressed Data for Categorical and Mixed Attributes.
Proceedings of the Structural, 2006

On the Use of Different Classification Rules in an Editing Task.
Proceedings of the Structural, 2006

Non Parametric Local Density-Based Clustering for Multimodal Overlapping Distributions.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Combined Effects of Class Imbalance and Class Overlap on Instance-Based Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Improving the Classification Accuracy of RBF and MLP Neural Networks Trained with Imbalanced Samples.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

2005
Including efficient object recognition capabilities in online robots: from a statistical to a Neural-network classifier.
IEEE Trans. Syst. Man Cybern. Part C, 2005

Decision boundary preserving prototype selection for nearest neighbor classification.
Int. J. Pattern Recognit. Artif. Intell., 2005

Class-dependant resampling for medical applications.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

A Stochastic Approach to Wilson's Editing Algorithm.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

Dynamic and Static Weighting in Classifier Fusion.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

Data Characterization for Effective Prototype Selection.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

Imbalanced Training Set Reduction and Feature Selection Through Genetic Optimization.
Proceedings of the Artificial Intelligence Research and Development, 2005

2004
High training set size reduction by space partitioning and prototype abstraction.
Pattern Recognit., 2004

The Imbalanced Training Sample Problem: Under or over Sampling?
Proceedings of the Structural, 2004

Efficient nearest neighbor classification with data reduction and fast search algorithms.
Proceedings of the IEEE International Conference on Systems, 2004

Attribute Relevance in Multiclass Data Sets Using the Naive Bayes Rule.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Analysis of new techniques to obtain quality training sets.
Pattern Recognit. Lett., 2003

Strategies for learning in class imbalance problems.
Pattern Recognit., 2003

New Applications of Ensembles of Classifiers.
Pattern Anal. Appl., 2003

Fast object recognition methods for the UJI online robot.
Proceedings of the IEEE International Conference on Systems, 2003

Exploring New Object Recognition Techniques for Online Robots.
Proceedings of the IASTED International Conference Robotics and Applications, 2003

Estimating Feature Weights For Distance-Based Classification.
Proceedings of the Pattern Recognition in Information Systems, 2003

Reducing Training Sets by NCN-based Exploratory Procedures.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

Learning from Imbalanced Sets through Resampling and Weighting.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

Restricted Decontamination for the Imbalanced Training Sample Problem.
Proceedings of the Progress in Pattern Recognition, 2003

Using the Geometrical Distribution of Prototypes for Training Set Condensing.
Proceedings of the Current Topics in Artificial Intelligence, 2003

2002
Advances in Pattern Recognition and Image Analysis - Editorial.
Int. J. Pattern Recognit. Artif. Intell., 2002

A Very High Level Interface to Teleoperate a Robot via Web Including Augmented Reality.
Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002

Object Recognition and Incremental Learning Algorithms for a Web-Based Telerobotic System.
Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002

On Filtering the Training Prototypes in Nearest Neighbour Classification.
Proceedings of the Topics in Artificial Intelligence, 5th Catalonian Conference on AI, 2002

2001
Performance Evaluation of Prototype Selection Algorithms for Nearest Neighbor Classification.
Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2001), 2001

An integral automation of industrial fruit and vegetable sorting by machine vision.
Proceedings of 8th IEEE International Conference on Emerging Technologies and Factory Automation, 2001

2000
Using the Dual of Proximity Graphs for Binary Decision Tree Design.
Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000

1999
Learning Vector Quantization With Alternative Distance Criteria.
Proceedings of the 1oth International Conference on Image Analysis and Processing (ICIAP 1999), 1999

1998
Improving the k-NCN classification rule through heuristic modifications.
Pattern Recognit. Lett., 1998

Editing Prototypes in the Finite Sample Size Case Using Alternative Neighbourhoods.
Proceedings of the Advances in Pattern Recognition, 1998

From the Nearest Neighbour Rule to Decision Trees.
Proceedings of the Tasks and Methods in Applied Artificial Intelligence, 1998

A Voronoi-diagram-based approach to oblique decision tree induction.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

1997
On the use of neighbourhood-based non-parametric classifiers.
Pattern Recognit. Lett., 1997

Prototype selection for the nearest neighbour rule through proximity graphs.
Pattern Recognit. Lett., 1997

On the equivalency between decision tree classifiers and the nearest neighbour rule.
Inteligencia Artif., 1997

Using Proximity and Spatial Homogeneity in Neighbourhood-Based Classifiers.
Proceedings of the Image Analysis and Processing, 9th International Conference, 1997


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