L. Sánchez

发表

Assessing the Health of LiFePO4 Traction Batteries through Monotonic Echo State Networks

Inés Couso, Luciano Sánchez, José Otero, 2017, Sensors.

Engine health monitoring with fuzzy data : lessons learned from aircraft industry

L. Sánchez, 2018 .

First study of the behaviour of genetic fuzzy classifier based on low quality data respect to the preprocessing of low quality imbalanced datasets

Ana M. Palacios, I. Couso, L. Sánchez, 2010 .

A Genetic Fuzzy Linguistic Combination Method for Fuzzy Rule-Based Multiclassifiers

O. Cordón, L. Sánchez, Krzysztof Trawiński, 2013, IEEE Transactions on Fuzzy Systems.

On various definitions of the variance of a fuzzy random variable

D. Dubois, I. Couso, L. Sánchez, 2007 .

Analysis of MFGA to Extract Interesting Rules

S. García, J. Luengo, J. Derrac, 2013 .

Multiobjective Evolutionary Search of Difference Equations-based Models for Understanding Chaotic Systems

L. Sánchez, J. Villar, 2008 .

Managing imprecisely observed data in Genetic Fuzzy Models by means of a fuzzy-valued fitness function

I. Couso, L. Sánchez, Inés Couso, 2005 .

COMBINING ADABOOST WITH PREPROCESSING ALGORITHMS FOR EXTRACTING FUZZY RULES FROM LOW QUALITY DATA IN POSSIBLY IMBALANCED PROBLEMS

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2012 .

A Minimum Risk Wrapper Algorithm for Genetically Selecting Imprecisely Observed Features, Applied to the Early Diagnosis of Dyslexia

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2008, HAIS.

A Multiobjective Genetic Fuzzy System with Imprecise Probability Fitness for Vague Data

J. Casillas, I. Couso, L. Sánchez, 2006, 2006 International Symposium on Evolving Fuzzy Systems.

Random Fuzzy Sets as Ill-Perceived Random Variables

Didier Dubois, Inés Couso, Luciano Sánchez, 2014 .

Reconciling Bayesian and Frequentist Tests: the Imprecise Counterpart

I. Couso, L. Sánchez, Antonio Álvarez-Caballero, 2017, ISIPTA.

Using the Adaboost algorithm for extracting fuzzy rules from low quality data: Some preliminary results

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Preliminary results on the application of boosting to learn weighted fuzzy rules under single-winner inference

J. Otero, L. Sánchez, M. R. Suárez, 2003 .

Random Sets as Ill-Perceived Random Variables

Didier Dubois, Inés Couso, Luciano Sánchez, 2014 .

An Estimator of the Number of Rules in Fuzzy Models

L. Sánchez, J. Tuya, H. Lopez, 1994 .

Mode based hierarchical optical flow estimation

J. Otero, L. Sánchez, A. Otero, 2001 .

Comparison of KEEL versus open source Data Mining tools : Knime and Weka software Complementary Material for the paper KEEL : Multi-Stage Analysis in Data Mining

José A. Sáez, S. García, F. Herrera, 2016 .

Managing stochastic algorithms CV variability using an interval valued multiple comparison procedure

Ana M. Palacios, J. Otero, I. Couso, 2011 .

SomeResults aboutMutualInformation-based Feature Selection andFuzzyDiscretization ofVagueData

L. Sánchez, 2007 .

Singular spectral analysis of ill-known signals and its application to predictive maintenance of windmills with SCADA records

I. Couso, L. Sánchez, 2011, Soft Computing.

KEEL: a software tool to assess evolutionary algorithms for data mining problems

María José del Jesús, Jesús Alcalá-Fdez, Francisco Herrera, 2008, Soft Comput..

Online SOC estimation of Li-FePO4 batteries through an observer of the system state with minimal nonspecificity

Inés Couso, Luciano Sánchez, Cecilio Blanco Viejo, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A Variable Effective Capacity Model for $\hbox{LiFePO}_{4}$ Traction Batteries Using Computational Intelligence Techniques

Luciano Sánchez, Cecilio Blanco Viejo, Victor Garcia, 2015, IEEE Transactions on Industrial Electronics.

Tuning fuzzy partitions or assigning weights to fuzzy rules: which is better?

Luciano Sánchez, José Otero, J. Otero, 2003 .

Some relationships between fuzzy and random set-based classifiers and models

María José del Jesús, Jorge Casillas, Oscar Cordón, 2002, Int. J. Approx. Reason..

Linguistic cost-sensitive learning of genetic fuzzy classifiers for imprecise data

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2011, Int. J. Approx. Reason..

A design methodology for semi-physical fuzzy models applied to the dynamic characterization of LiFePO4 batteries

Inés Couso, Luciano Sánchez, Manuela González, 2014, Appl. Soft Comput..

Soft methods for bounding the uncertainty of stereo calibration and triangulation

Luciano Sánchez, José Otero, J. Otero, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Mark-recapture techniques in statistical tests for imprecise data

Inés Couso, Luciano Sánchez, I. Couso, 2011, Int. J. Approx. Reason..

A first study on bagging fuzzy rule-based classification systems with multicriteria genetic selection of the component classifiers

Oscar Cordón, Arnaud Quirin, Luciano Sánchez, 2008, 2008 3rd International Workshop on Genetic and Evolving Systems.

A fast genetic method for inducting descriptive fuzzy models

Luciano Sánchez, José Otero, J. Otero, 2004, Fuzzy Sets Syst..

Genetic learning of fuzzy rules based on low quality data

Jorge Casillas, Inés Couso, Luciano Sánchez, 2009, Fuzzy Sets Syst..

Obtaining linguistic fuzzy rule-based regression models from imprecise data with multiobjective genetic algorithms

Inés Couso, Luciano Sánchez, José Otero, 2008, Soft Comput..

A framework for learning fuzzy rule-based models with epistemic set-valued data and generalized loss functions

Inés Couso, Luciano Sánchez, I. Couso, 2018, Int. J. Approx. Reason..

Detection of Cardiac Arrhythmias Through Singular Spectrum Analysis of a Time-Distorted EGM Signal

Luciano Sánchez, Jesús Fernández, Julián Velasco, 2017, SOCO-CISIS-ICEUTE.

The behavioral meaning of the median

Inés Couso, Luciano Sánchez, Serafín Moral, 2015, Inf. Sci..

A Unified View of Different Axiomatic Measures Defined on $L$-Fuzzy Sets

Humberto Bustince, Inés Couso, Luciano Sánchez, 2020, IEEE Transactions on Fuzzy Systems.

Inés Couso, Luciano Sánchez, I. Couso, 2017, Fuzzy Sets Syst..

Inés Couso, Luciano Sánchez, Laura Garrido, 2013, Inf. Sci..

Machine learning models, epistemic set-valued data and generalized loss functions: An encompassing approach

Inés Couso, Luciano Sánchez, I. Couso, 2016, Inf. Sci..

Generalized stochastic orderings applied to the study of performance of machine learning algorithms for low quality data

Inés Couso, Luciano Sánchez, I. Couso, 2015, IFSA-EUSFLAT.

Knowledge extraction about atrial arrhythmias through networks of biologically inspired artificial cardiac cells

Luciano Sánchez, Jesús Fernández, Julián Velasco, 2018, LOPAL '18.

Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques

Francisco Herrera, Oscar Cordón, Luciano Sánchez, 2004, Applied Intelligence.

Combination of Self-Organizing Maps and Multilayer Perceptrons for Speaker Independent Isolated Word Recognition

Javier Tuya, Luciano Sánchez, J. A. Corrales, 1993, IWANN.

Extending a simple genetic cooperative-competitive learning fuzzy classifier to low quality datasets

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2009, Evol. Intell..

Mutual information-based feature selection and partition design in fuzzy rule-based classifiers from vague data

Inés Couso, Luciano Sánchez, José Ramón Villar, 2008, Int. J. Approx. Reason..

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

María José del Jesús, Francisco Herrera, Jesús Alcalá-Fdez, 2017, Int. J. Comput. Intell. Syst..

Fuzzy-genetic optimization of the parameters of a low cost system for the optical measurement of several dimensions of vehicles

Jesús Alcalá-Fdez, Luciano Sánchez, José Otero, 2008, Soft Comput..

Mining fuzzy association rules from low-quality data

Jesús Alcalá-Fdez, Luciano Sánchez, Ana M. Palacios, 2011, Soft Computing.

Obtaining transparent models of chaotic systems with multi-objective simulated annealing algorithms

Luciano Sánchez, José Ramón Villar, L. Sánchez, 2008, Inf. Sci..

Genetic Search of Block-Based Structures of Dynamical Process Models

A. López, L. Sánchez, L. Sánchez, 2003, IWANN.

GA-P Based Search of Structures and Parameters of Dynamical Process Models

H. Lopez, Luciano Sánchez, A. Lopez, 2003 .

GA-P BASED MODELING OF NONLINEAR DYNAMIC SYSTEMS

H. Lopez, Luciano Sánchez, A. M. Lopez, 2002 .

Graph Based GP Applied to Dynamical Systems Modeling

Luciano Sánchez, Hilario López García, Antonio Miguel López Rodríguez, 2001, IWANN.

Evolving Fuzzy Rule Based Classifiers with GA-P: A Grammatical Approach

Luciano Sánchez, Santiago García Carbajal, Fermín González Martinez, 1999, EuroGP.

Taximeter verification using imprecise data from GPS

Luciano Sánchez, José Otero, José Villar, 2009, Eng. Appl. Artif. Intell..

Obtaining a Linguistically Understandable Random Sets-Based Classifier from Interval-Valued Data with Genetic Algorithms

Inés Couso, Luciano Sánchez, I. Couso, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Mining association rules in R using the package RKEEL

Jesús Alcalá-Fdez, Luciano Sánchez, Jose M. Moyano, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Health assessment of LFP automotive batteries using a fractional-order neural network

Inés Couso, Luciano Sánchez, José Otero, 2020, Neurocomputing.

Eliciting a human understandable model of ice adhesion strength for rotor blade leading edge materials from uncertain experimental data

Luciano Sánchez, Ana M. Palacios, José Luis Palacios, 2012, Expert Syst. Appl..

A Model-Based Virtual Sensor for Condition Monitoring of Li-Ion Batteries in Cyber-Physical Vehicle Systems

Inés Couso, Luciano Sánchez, Yuviny Echevarría, 2017, J. Sensors.

Battery diagnosis for electrical vehicles through semi-physical fuzzy models

Inés Couso, Luciano Sánchez, Cecilio Blanco Viejo, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

An Equivalent Circuit Model With Variable Effective Capacity for $\hbox{LiFePO}_{4}$ Batteries

Luciano Sánchez, Cecilio Blanco Viejo, Victor Garcia, 2014, IEEE Transactions on Vehicular Technology.

Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2012, Int. J. Comput. Intell. Syst..

Preprocessing vague imbalanced datasets and its use in genetic fuzzy classifiers

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2010, International Conference on Fuzzy Systems.

Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms

Luciano Sánchez, José Otero, J. Otero, 2007, 2007 IEEE International Fuzzy Systems Conference.

Cost-Sensitive Learning of Fuzzy Rules for Imbalanced Classification Problems Using FURIA

Oscar Cordón, Luciano Sánchez, Ana M. Palacios, 2014, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Leveraging a predictive model of the workload for intelligent slot allocation schemes in energy-efficient HPC clusters

José Ranilla, Luciano Sánchez, Alberto Cocaña-Fernández, 2016, Eng. Appl. Artif. Intell..

3D motion estimation of bubbles of gas in fluid glass, using an optical flow gradient technique extended to a third dimension

Luciano Sánchez, José Otero, Adolfo Otero, 2003, Machine Vision and Applications.

Online Estimation of the State of Health of a Rechargeable Battery Through Distal Learning of a Fuzzy Model

Inés Couso, Luciano Sánchez, José Otero, 2019, SOCO.

Health Assessment of Automotive Batteries Through Computational Intelligence-Based Soft Sensors: An Empirical Study

Inés Couso, Luciano Sánchez, David Anseán, 2017, SOCO-CISIS-ICEUTE.

An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia

Sébastien Destercke, Inés Couso, Luciano Sánchez, 2016, Neurocomputing.

Boosting fuzzy rules in classification problems under single‐winner inference

Luciano Sánchez, José Otero, J. Otero, 2007, Int. J. Intell. Syst..

Induction of descriptive fuzzy classifiers with the Logitboost algorithm

Luciano Sánchez, José Otero, J. Otero, 2006, Soft Comput..

Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms

María José del Jesús, Luciano Sánchez, Frank Hoffmann, 2004, IEEE Transactions on Fuzzy Systems.

Combining GP operators with SA search to evolve fuzzy rule based classifiers

Inés Couso, Luciano Sánchez, J. A. Corrales, 2001, Inf. Sci..

Learning human-understandable models for the health assessment of Li-ion batteries via Multi-Objective Genetic Programming

Luciano Sánchez, Yuviny Echevarría, Cecilio Blanco Viejo, 2019, Eng. Appl. Artif. Intell..

Distal learning of the incremental capacity curve of a LiFePO4 battery

Inés Couso, Luciano Sánchez, José Otero, 2020, Log. J. IGPL.

Improving learning efficiency in multi-objective simulated annealing programming for sound environment classification

José Ranilla, Alberto Cocaña-Fernández, Luciano Sánchez, 2016, 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM).

CI-LQD: A software tool for modeling and decision making with Low Quality Data

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

On the Use of Bagging, Mutual Information-Based Feature Selection and Multicriteria Genetic Algorithms to Design Fuzzy Rule-Based Classification Ensembles

Oscar Cordón, Arnaud Quirin, Luciano Sánchez, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

A greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using K-Means as a local search procedure

Francisco Herrera, Oscar Cordón, José Ramón Cano, 2002, J. Intell. Fuzzy Syst..

Semi-Supervised Recurrent Variational Autoencoder Approach for Visual Diagnosis of Atrial Fibrillation

Inés Couso, Luciano Sánchez, Nahuel Costa, 2021, IEEE Access.

Singular spectral analysis of ill-known signals and its application to predictive maintenance of windmills with SCADA records

Inés Couso, Luciano Sánchez, I. Couso, 2012, Soft Comput..

Local iterative DLT soft-computing vs. interval-valued stereo calibration and triangulation with uncertainty bounding in 3D reconstruction

Luciano Sánchez, José Otero, J. Otero, 2015, Neurocomputing.

Local Iterative DLT for Interval-Valued Stereo Calibration and Triangulation Uncertainty Bounding in 3D Biological Form Reconstruction

Luciano Sánchez, José Otero, J. Otero, 2013, SOCO-CISIS-ICEUTE.

Multicriteria Design of Cost-Conscious Fuzzy Rule-Based Classifiers

José Ranilla, Luciano Sánchez, Alberto Cocaña-Fernández, 2017, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Energy-conscious fuzzy rule-based classifiers for battery operated embedded devices

José Ranilla, Alberto Cocaña-Fernández, Luciano Sánchez, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Sequential pattern mining applied to aeroengine condition monitoring with uncertain health data

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2015, Eng. Appl. Artif. Intell..

Identification of Li-ion battery models through monotonic echo serial networks for coarse data

Inés Couso, Luciano Sánchez, Cecilio Blanco Viejo, 2020, Log. J. IGPL.

The Null Space of Fuzzy Inclusion Measures

Humberto Bustince, Javier Fernández, Inés Couso, 2019, IEEE Transactions on Fuzzy Systems.

Multiobjective genetic classifier selection for random oracles fuzzy rule-based classifier ensembles: How beneficial is the additional diversity?

Oscar Cordón, Arnaud Quirin, Luciano Sánchez, 2013, Knowl. Based Syst..

Selecting an Appropriate Statistical Test for Comparing Multiple Experiments in Evolutionary Machine Learning

Jesús Alcalá-Fdez, Luciano Sánchez, José Otero, 2007 .

Online SOC Estimation of Li-FePO4 Batteries through a New Fuzzy Rule-Based Recursive Filter with Feedback of the Heat Flow Rate

Juan Carlos Viera, Luciano Sanchez, Ines Couso, 2014, 2014 IEEE Vehicle Power and Propulsion Conference (VPPC).

Health Monitoring of Automotive Batteries in Fast-Charging Conditions Through a Fuzzy Model of the Incremental Capacity

Inés Couso, José Otero, Luciano Sanchez, 2020 .

Mutual Information-Based Feature Selection in Fuzzy Databases Applied to Searching for the Best Code Metrics in Automatic Grading

Luciano Sánchez, José Otero, M. Rosario Suárez, 2014, HAIS.

Analysis of Students' Online Interactions in the Covid Era from the Perspective of Anomaly Detection

Inés Couso, Luciano Sánchez, José Otero, 2021, CISIS-ICEUTE.

A class of Monotone Fuzzy rule-based Wiener systems with an application to Li-ion battery modelling

Inés Couso, Luciano Sánchez, Cecilio Blanco Viejo, 2017, Eng. Appl. Artif. Intell..

Interval-valued GA-P algorithms

Luciano Sánchez, L. Sánchez, 2000, IEEE Trans. Evol. Comput..

Computing the Spanish Medium Electrical Line Maintenance Costs by means of Evolution-Based Learning Processes

Francisco Herrera, Oscar Cordón, Luciano Sánchez, 1998, IEA/AIE.

A methodology for exploiting the tolerance for imprecision in genetic fuzzy systems and its application to characterization of rotor blade leading edge materials

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2013 .

Energy-Efficient Sound Environment Classifier for Hearing Aids Based on Multi-objective Simulated Annealing Programming

José Ranilla, Alberto Cocaña-Fernández, Luciano Sánchez, 2015, SOCO.

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

S. García, F. Herrera, Alberto Fernández, 2017, Int. J. Comput. Intell. Syst..

A random sets-based method for identifying fuzzy models

L. Sánchez, 1998, Fuzzy Sets Syst..

Obtaining fuzzy rules from interval-censored data with genetic algorithms and a random sets-based semantic of the linguistic labels

Inés Couso, Luciano Sánchez, L. Sánchez, 2011, Soft Comput..

Advocating the Use of Imprecisely Observed Data in Genetic Fuzzy Systems

Inés Couso, Luciano Sánchez, L. Sánchez, 2007, IEEE Transactions on Fuzzy Systems.

Fuzzy random variables-based modeling with GA-P algorithms

Inés Couso, Luciano Sánchez, L. Sánchez, 2000 .