Luciano Sánchez

发表

EECluster: An Energy-Efficient Tool for managing HPC Clusters

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

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..

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

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

The behavioral meaning of the median

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

Assessment of Multi-Objective Optimization Algorithms for Parametric Identification of a Li-Ion Battery Model

Luciano Sánchez, Yuviny Echevarría, Cecilio Blanco Viejo, 2016, HAIS.

A fast genetic method for inducting descriptive fuzzy models

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

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

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

Genetic learning of fuzzy rules based on low quality data

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

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..

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).

Graphical analysis of the progression of atrial arrhythmia through an ensemble of Generative Adversarial Network Discriminators

Inés Couso, Luciano Sánchez, Nahuel Costa, 2019, EUSFLAT Conf..

Boosting fuzzy rules with low quality data in multi-class problems: Open problems and challenges

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2013, 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS).

Finding informative code metrics under uncertainty for predicting the pass rate of online courses

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2016, Inf. Sci..

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

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

Higher order models for fuzzy random variables

Inés Couso, Luciano Sánchez, 2008, Fuzzy Sets Syst..

Genetic Fuzzy Modelling of Li-Ion Batteries Through a Combination of Theta-DEA and Knowledge-Based Preference Ordering

Luciano Sánchez, Yuviny Echevarría, Cecilio Blanco Viejo, 2016, CAEPIA.

Future Performance Modeling in Athletism with Low Quality Data-based Genetic Fuzzy Systems

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2011, J. Multiple Valued Log. Soft Comput..

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.

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

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

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

Induction of descriptive fuzzy classifiers with the Logitboost algorithm

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

Diagnosis of dyslexia with low quality data with genetic fuzzy systems

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2010, Int. J. Approx. Reason..

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

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

Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques

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

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.

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

Comments on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization" by Eyke Hüllermeier

Luciano Sánchez, 2014, Int. J. Approx. Reason..

Multicriteria Design of Cost-Conscious Fuzzy Rule-Based Classifiers

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

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..

Using Fuzzy Techniques for Bounding the Tolerance of GPS-Based Speed and Distance Measurements in Taximeter Verification

Luciano Sánchez, José Otero, Adolfo Otero, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Using the adabooth algorithm to induce fuzzy rules in classification problems

Luciano Sánchez, Luis Junco, 2000 .

Aeroengine prognosis through genetic distal learning applied to uncertain Engine Health Monitoring data

Inés Couso, Luciano Sánchez, Alvaro Martínez, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Defuzzification of Fuzzy p-Values

Inés Couso, Luciano Sánchez, 2008, SMPS.

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

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

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..

Improving the Eco-Efficiency of High Performance Computing Clusters Using EECluster

José Ranilla, Luciano Sánchez, Alberto Cocaña-Fernández, 2016 .

Interval-valued Blind Source Separation Applied to AI-based Prognostic Fault Detection of Aircraft Engines

Inés Couso, Luciano Sánchez, Alvaro Martínez, 2014, J. Multiple Valued Log. Soft Comput..

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.

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.

Boosting fuzzy rules in classification problems under single‐winner inference

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

Graphical Exploratory Analysis of Educational Knowledge Surveys with Missing and Conflictive Answers Using Evolutionary Techniques

Inés Couso, Luciano Sánchez, José Otero, 2010, HAIS.

A Baseline Learning Genetic Fuzzy Classifier Based on Low Quality Data

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2009, IFSA/EUSFLAT Conf..

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..

Genetic Feature Selection for Fuzzy Discretized Data

Inés Couso, Luciano Sánchez, José Ramón Villar, 2008 .

Graphical Exploratory Analysis of Fuzzy Data as a Teaching Tool

Inés Couso, Luciano Sánchez, José Otero, 2018 .

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).

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

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

Advocating the Use of Imprecisely Observed Data in Genetic Fuzzy Systems

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

Using a Symbolic Model Checker for Verify Safety Properties in SA/RT Models

Javier Tuya, Luciano Sánchez, José A. Corrales, 1995, ESEC.

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.

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..

Upper and lower probabilities induced by a fuzzy random variable

Inés Couso, Luciano Sánchez, 2011, Fuzzy Sets Syst..

Imprecise distribution function associated to a random set

Inés Couso, Luciano Sánchez, Pedro Gil, 2004, Inf. Sci..

クラスタリングのためのGRASPアルゴリズム | 文献情報 | J-GLOBAL 科学技術総合リンクセンター

Luciano Sánchez, Francisco Herrera, Oscar Cordón, 2002 .

Energy-efficient allocation of computing node slots in HPC clusters through parameter learning and hybrid genetic fuzzy system modeling

José Ranilla, Luciano Sánchez, Alberto Cocaña-Fernández, 2014, The Journal of Supercomputing.

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..

Measurement of Ground-Neutral Currents in Three Phase Transformers Using a Genetically Evolved Shaping Filter

Inés Couso, Luciano Sánchez, 2010, IPMU.

GFS-Based Analysis of Vague Databases in High Performance Athletics

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2009, IDEAL.

Managing stochastic algorithms cross-validation variability using an interval valued multiple comparison procedure

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

The Behavioral Meaning of the Median

Inés Couso, Luciano Sánchez, 2010, SMPS.

Graphical exploratory analysis of vague data in the early diagnosis of dyslexia

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

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.

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.

Graphical Analysis of the Progression of Atrial Arrhythmia Using Recurrent Neural Networks

Inés Couso, Luciano Sánchez, Nahuel Costa, 2020, Int. J. Comput. Intell. Syst..

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.

The notion of roughness of a fuzzy set

Inés Couso, Luciano Sánchez, Laura Garrido, 2014, Fuzzy Sets Syst..

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 .

Introducing a genetic fuzzy linguistic combination method for bagging fuzzy rule-based multiclassification systems

Oscar Cordón, Arnaud Quirin, Luciano Sánchez, 2010, 2010 4th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS).

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..

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

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

Eco-Efficient Resource Management in HPC Clusters through Computer Intelligence Techniques

José Ranilla, Luciano Sánchez, Alberto Cocaña-Fernández, 2019 .

A coevolutionary genetic algorithm able to learn a FRBS and detect the less informative instances in low quality problems

Luciano Sánchez, 2010 .

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..

Taximeter verification using imprecise data from GPS

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

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

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

GA-P BASED MODELING OF NONLINEAR DYNAMIC SYSTEMS

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

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

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

Interval-valued GA-P algorithms

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

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..

A GRASP Algorithm for Clustering

Francisco Herrera, Oscar Cordón, José Ramón Cano, 2002, IBERAMIA.

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

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

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.

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.

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

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

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

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

Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms

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

Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers

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

Distal learning of the incremental capacity curve of a LiFePO4 battery

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

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

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

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.

Assessing the differences in accuracy between GFSs with bootstrap tests

Jesús Alcalá-Fdez, Luciano Sánchez, José Otero, 2005, EUSFLAT Conf..

An Extension of the FURIA Classification Algorithm to Low Quality Data

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

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..

A random sets-based method for identifying fuzzy models

Luciano Sánchez, 1998, Fuzzy Sets Syst..

Selecting the Most Informative Inputs in Modelling Problems with Vague Data Applied to the Search of Informative Code Metrics for Continuous Assessment in Computer Science Online Courses

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2014, RSCTC.

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).

Taximeter verification with GPS and soft computing techniques

Luciano Sánchez, José Otero, José Villar, 2010, Soft Comput..

Guest editorial: special issue on “knowledge extraction from low quality data: theoretical, methodological and practical issues”

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

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.

Generalized stochastic orderings applied to the study of perfomance of machine learning algorithm

Inés Couso, Luciano Sánchez, 2015 .

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

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

Inés Couso, Luciano Sánchez, 2020, Fuzzy Sets Syst..

Bootstrap analysis of multiple repetitions of experiments using an interval-valued multiple comparison procedure

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2014, J. Comput. Syst. Sci..

Approximating The Discrete Space Equation From Chaotic Noisy Data

Luciano Sánchez, J. J. Navarro, Alberto Fernández, 2000 .

Knowledge Extraction from Fuzzy Data for Estimating Consumer Behavior Models

Jorge Casillas, Luciano Sánchez, 2006, 2006 IEEE International Conference on Fuzzy Systems.

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..

Engine Health Monitoring for engine fleets using fuzzy radviz

Inés Couso, Luciano Sánchez, Alvaro Martínez, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Mining fuzzy association rules from low-quality data

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

A Pragmatic Task Design Approach Based on a Ward/Mellor Real-Time Structured Specification

Javier Tuya, Luciano Sánchez, José A. Corrales, 1993, ESEC.

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

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

Inner and outer fuzzy approximations of confidence intervals

Inés Couso, Luciano Sánchez, 2011, Fuzzy Sets Syst..

Learning from imprecise examples with GA-P algorithms

Inés Couso, Luciano Sánchez, 1998 .

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.

Preprocessing vague imbalanced datasets and its use in genetic fuzzy classifiers

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

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.

Graph Based GP Applied to Dynamical Systems Modeling

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

Modeling Vague Data with Genetic Fuzzy Systems under a Combination of Crisp and Imprecise Criteria

Jorge Casillas, Inés Couso, Luciano Sánchez, 2007, 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making.

Genetic Algorithms for Estimating Longest Path from Inherently Fuzzy Data Acquired with GPS

Luciano Sánchez, José Otero, José Villar, 2006, IDEAL.

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

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

Mark-recapture techniques in statistical tests for imprecise data

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

Some Results about Mutual Information-based Feature Selection and Fuzzy Discretization of Vague Data

Inés Couso, Luciano Sánchez, José Ramón Villar, 2007, 2007 IEEE International Fuzzy Systems Conference.

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

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

Boosting of Fuzzy Rules with Low Quality Data

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2012, J. Multiple Valued Log. Soft Comput..

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

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

RKEEL: Using KEEL in R code

Luciano Sánchez, Jose M. Moyano, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Expected Pair-Wise Comparison of the Outcomes of a Fuzzy Random Variable

Inés Couso, Luciano Sánchez, Susana Montes, 2010, SMPS.

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).

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

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

Supervising classrooms comprising children with dyslexia and other learning problems with graphical exploratory analysis for fuzzy data: Presentation of the software tool and case study

Luciano Sánchez, Ana M. Palacios, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

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).

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

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

Using Fuzzy Preference Orderings in θ-Dominance with Application to Health Monitoring of Li-Ion Batteries

Inés Couso, Luciano Sánchez, Yuviny Echevarría, 2019, J. Multiple Valued Log. Soft Comput..

Assessing the evolution of learning capabilities and disorders with graphical exploratory analysis of surveys containing missing and conflicting answers

Inés Couso, Luciano Sánchez, José Otero, 2010 .

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..

A Minimum-Risk Genetic Fuzzy Classifier Based on Low Quality Data

Inés Couso, Luciano Sánchez, Ana M. Palacios, 2009, HAIS.

Clasificación y selección de características mediante algoritmos GA-P

Inés Couso, Luciano Sánchez, F. Cano, 1998, Inteligencia Artif..

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.

Harnessing the information contained in low-quality data sources

Inés Couso, Luciano Sánchez, 2014, Int. J. Approx. Reason..

The Null Space of Fuzzy Inclusion Measures

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

Assessment of the running resistance of a diesel passenger train using evolutionary bilevel algorithms and operational data

Luciano Sánchez, Pablo Luque, Daniel Álvarez, 2021, Eng. Appl. Artif. Intell..

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

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

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

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

Fuzzy random variables-based modeling with GA-P algorithms

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

Boosting fuzzy rules in classification problems under single-winner inference: Research Articles

Luciano Sánchez, José Otero, 2007 .

Random Sets as Ill-Perceived Random Variables

Didier Dubois, Inés Couso, Luciano Sánchez, 2014 .

Random Fuzzy Sets as Ill-Perceived Random Variables

Didier Dubois, Inés Couso, Luciano Sánchez, 2014 .

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 .