I. Couso

发表

A survey of concepts of independence for imprecise probabilities

P. Walley, S. Moral, I. Couso, 2000 .

Lower previsions induced by multi-valued mappings

G. Cooman, Enrique Miranda, I. Couso, 2005 .

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

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

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 .

On various definitions of the variance of a fuzzy random variable

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

Fuzzy δ-ɛ-partitions

Inés Couso, Susana Montes, Pedro Gil, 2003 .

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

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

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 .

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 .

Examples of Independence for Imprecise Probabilities

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

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 .

An Axiomatic Definition of Fuzzy Divergence Measures

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

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).

A Possibilistic Interpretation of the Expectation of a Fuzzy Random Variable

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

Random Sets as Ill-Perceived Random Variables

Didier Dubois, Inés Couso, Luciano Sánchez, 2014 .

Is the mode a lower prevision?

I. Couso, 2013 .

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

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

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.

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).

Maximum Likelihood Estimation and Coarse Data

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

Maximum Likelihood Under Incomplete Information: Toward a Comparison of Criteria

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

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

Didier Dubois, Inés Couso, D. Dubois, 2014, 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..

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..

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..

Mark-recapture techniques in statistical tests for imprecise data

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

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

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

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..

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

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

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.

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

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

Divergence measure between fuzzy sets

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

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..

Ranking of fuzzy intervals seen through the imprecise probabilistic lens

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

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.

Relationships Between Possibility Measures and Nested Random Sets

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

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.

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..

Rough Sets, Coverings and Incomplete Information

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

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

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

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.

Width-Based Interval-Valued Distances and Fuzzy Entropies

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

A random set characterization of possibility measures

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

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

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

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.

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.

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

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

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

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

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).

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.

The Necessity of the Strong a-Cuts of a Fuzzy Set

INES COUSO, SUSANA MONTES, P. Gil, 2001, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

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

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.

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

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

Generalizing the Wilcoxon rank-sum test for interval data

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

Upper Probabilities Attainable by Distributions of Measurable Selections

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

Random intervals as a model for imprecise information

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

Distal learning of the incremental capacity curve of a LiFePO4 battery

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

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).

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..

Independence concepts in evidence theory

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

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

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

Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants

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

A general framework for maximizing likelihood under incomplete data

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

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.

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

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

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 .