Inés Couso

发表

Probabilities of Events Induced by Fuzzy Random Variables

Didier Dubois, Cédric Baudrit, Inés Couso, 2005, EUSFLAT Conf..

The behavioral meaning of the median

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

Genetic learning of fuzzy rules based on low quality data

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

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

Inés Couso, José Otero, Luciano Sanchez, 2020 .

Divergence measure between fuzzy sets

Inés Couso, Susana Montes, Pedro Gil, 2002, Int. J. Approx. Reason..

Sets of desirable gambles: Conditioning, representation, and precise probabilities

Inés Couso, Serafín Moral, S. Moral, 2011, Int. J. Approx. Reason..

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..

Independence concepts in evidence theory

Inés Couso, Serafín Moral, S. Moral, 2010, Int. J. Approx. Reason..

Maximum Likelihood with Coarse Data based on Robust Optimisation

Didier Dubois, Inés Couso, Romain Guillaume, 2017, ISIPTA.

Higher order models for fuzzy random variables

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

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.

Ranking of fuzzy intervals seen through the imprecise probabilistic lens

Sébastien Destercke, Inés Couso, I. Couso, 2015, Fuzzy Sets Syst..

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.

Diagnosis of dyslexia with low quality data with genetic fuzzy systems

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

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

Relationships Between Possibility Measures and Nested Random Sets

Inés Couso, Enrique Miranda, Pedro Gil, 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

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.

From Fuzzy Sets to Interval-Valued and Atanassov Intuitionistic Fuzzy Sets: A Unified View of Different Axiomatic Measures

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

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..

Preference Relations and Families of Probabilities: Different Sides of the Same Coin

Inés Couso, I. Couso, Inés Couso, 2014, IPMU.

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.

An Imprecise Probability Approach to Joint Extensions of Stochastic and Interval Orderings

Didier Dubois, Inés Couso, D. Dubois, 2012, IPMU.

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..

Extreme points of credal sets generated by 2-alternating capacities

Inés Couso, Enrique Miranda, Pedro Gil, 2003, Int. J. Approx. Reason..

Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators

Eyke Hüllermeier, Inés Couso, E. Hüllermeier, 2018 .

A Procedure for Extending Input Selection Algorithms to Low Quality Data in Modelling Problems with Application to the Automatic Grading of Uploaded Assignments

Inés Couso, Luciano Sánchez, José Otero, 2014, TheScientificWorldJournal.

A general framework for maximizing likelihood under incomplete data

Didier Dubois, Inés Couso, D. Dubois, 2018, Int. J. Approx. Reason..

Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants

Sébastien Destercke, Inés Couso, Eyke Hüllermeier, 2019, SUM.

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.

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..

Maximum Likelihood Estimation and Coarse Data

Eyke Hüllermeier, Didier Dubois, Inés Couso, 2017, SUM.

Stochastic convergence, uniform integrability and convergence in mean on fuzzy measure spaces

Inés Couso, Susana Montes, Pedro Gil, 2002, Fuzzy Sets Syst..

Imprecise distribution function associated to a random set

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

A random set characterization of possibility measures

Inés Couso, Enrique Miranda, Pedro Gil, 2004, Inf. Sci..

Comparing Interval-Valued Estimations with Point-Valued Estimations

Inés Couso, Olivier Strauss, Hugo Saulnier, 2016, IPMU.

Improved Life Cycle Cost–Reduced Engine Maintenance Through Engine Health Monitoring Genetic Fuzzy System: Method Validation and Case Study

Inés Couso, Alvaro Martinez, Luciano Sanchez, 2014 .

Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening pdf

Eyke Hüllermeier, Inés Couso, Mohsen Ahmadi Fahandar, 2017, ICML.

Maximum Likelihood Under Incomplete Information: Toward a Comparison of Criteria

Didier Dubois, Inés Couso, D. Dubois, 2016, SMPS.

Humberto Bustince, Benjamín R. C. Bedregal, Zdenko Takác, 2019, Int. J. Intell. Syst..

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.

An Axiomatic Definition of Fuzzy Divergence Measures

Inés Couso, Susana Montes, I. Couso, 2008, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

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

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

Approximations of upper and lower probabilities by measurable selections

Inés Couso, Enrique Miranda, Pedro Gil, 2010, Inf. Sci..

The notion of roughness of a fuzzy set

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

A perspective on the extension of stochastic orderings to fuzzy random variables

Didier Dubois, Inés Couso, 2015, IFSA-EUSFLAT.

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 .

Practical Notes on Applying Generalised Stochastic Orderings to the Study of Performance of Classification Algorithms for Low Quality Data

Inés Couso, Patryk Zywica, Katarzyna Basiukajc, 2017, EUSFLAT/IWIFSGN.

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..

Upper Probabilities Attainable by Distributions of Measurable Selections

Inés Couso, Enrique Miranda, Pedro Gil, 2009, ECSQARU.

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

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

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

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

Random intervals as a model for imprecise information

Inés Couso, Enrique Miranda, Pedro Gil, 2005, Fuzzy Sets Syst..

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.

Belief Revision and the EM Algorithm

Didier Dubois, Inés Couso, 2016, IPMU.

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

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

Three Categories of Set-Valued Generalizations From Fuzzy Sets to Interval-Valued and Atanassov Intuitionistic Fuzzy Sets

Humberto Bustince, Inés Couso, H. Bustince, 2018, IEEE Transactions on Fuzzy Systems.

Study of the Probabilistic Information of a Random Set

Inés Couso, Enrique Miranda, Pedro Gil, 2003, ISIPTA.

Width-Based Interval-Valued Distances and Fuzzy Entropies

Humberto Bustince, Zdenko Takáč, Inés Couso, 2019, IEEE Access.

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..

Kendall's rank correlation on quantized data: An interval-valued approach

Inés Couso, Olivier Strauss, Hugo Saulnier, 2017, Fuzzy Sets Syst..

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..

On the Variability of the Concept of Variance for Fuzzy Random Variables

Didier Dubois, Inés Couso, D. Dubois, 2009, IEEE Transactions on Fuzzy Systems.

Joint propagation of probability and possibility in risk analysis: Towards a formal framework

Didier Dubois, Cédric Baudrit, Inés Couso, 2007, Int. J. Approx. Reason..

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).

Peakedness and Generalized Entropy for Continuous Density Functions

Didier Dubois, Inés Couso, D. Dubois, 2010, IPMU.

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.

Rough Sets, Coverings and Incomplete Information

Didier Dubois, Inés Couso, D. Dubois, 2011, Fundam. Informaticae.

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..

Relationships between uncertainty measures, fuzziness measures and divergence measures

Inés Couso, Susana Montes, Pedro Gil, 1999, EUSFLAT-ESTYLF Joint Conf..

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).

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.

One-to-one correspondences between ε-partitions, (1-ε)-equivalences and ε-pseudometrics

Inés Couso, Susana Montes, Pedro Gil, 2001, Fuzzy Sets 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.

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.

Fuzzy delta-varepsilon-partitions

Inés Couso, Susana Montes, Pedro Gil, 2003, Inf. Sci..

Examples of Independence for Imprecise Probabilities

Inés Couso, Serafín Moral, Peter Walley, 1999, ISIPTA.

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.

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.

Generalizing the Wilcoxon rank-sum test for interval data

Inés Couso, Kevin Loquin, Olivier Strauss, 2015, Int. J. Approx. Reason..

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).

Distances between Interval-valued Fuzzy Sets Taking into Account the Width of the Intervals

Humberto Bustince, Graçaliz Pereira Dimuro, Inés Couso, 2019, 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

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

Inés Couso, Luciano Sánchez, José Otero, 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).

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.

Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning

Eyke Hüllermeier, Christian Borgelt, Rudolf Kruse, 2019, IEEE Computational Intelligence Magazine.

Statistical reasoning with set-valued information: Ontic vs. epistemic views

Didier Dubois, Inés Couso, D. Dubois, 2014, Int. J. Approx. Reason..

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..

Special issue on the tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA '17)

Sébastien Destercke, Inés Couso, Giorgio Corani, 2019, Int. J. Approx. Reason..

Rejoinder on "Statistical reasoning with set-valued information: Ontic vs. epistemic views"

Didier Dubois, Inés Couso, D. Dubois, 2014, Int. J. Approx. Reason..

The Null Space of Fuzzy Inclusion Measures

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

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.

Sets of Desirable Gambles and Credal Sets

Inés Couso, Seraf ´ õn, 2009 .

Fuzzy random variables-based modeling with GA-P algorithms

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

Random sets as imprecise random variables

Inés Couso, Enrique Miranda, Pedro Gil, 2005 .

Second order possibility measure induced by a fuzzy random variable

Inés Couso, Susana Montes, Pedro Gil, 2002 .

Random Sets as Ill-Perceived Random Variables

Didier Dubois, Inés Couso, Luciano Sánchez, 2014 .

Upper Probabilities and Selectors of Random Sets

Inés Couso, Enrique Miranda, Pedro Gil, 2002 .

Random Fuzzy Sets as Ill-Perceived Random Variables

Didier Dubois, Inés Couso, Luciano Sánchez, 2014 .

The necessity of the strong a-cuts of a fuzzy set

Inés Couso, Susana Montes, Pedro Gil, 2001 .

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 .

Fuzzy δ-ɛ-partitions

Inés Couso, Susana Montes, Pedro Gil, 2003 .

A Possibilistic Interpretation of the Expectation of a Fuzzy Random Variable

Gert de Cooman, Inés Couso, Enrique Miranda, 2004 .

Inner and outer fuzzy confidence regions determined by low quality data

Inés Couso, 2009 .