Inés Couso

发表

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..

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..

Random Fuzzy Sets as Ill-Perceived Random Variables

Didier Dubois, Inés Couso, Luciano Sánchez, 2014 .

Peakedness and Generalized Entropy for Continuous Density Functions

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

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 .

The Null Space of Fuzzy Inclusion Measures

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

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

Random Sets as Ill-Perceived Random Variables

Didier Dubois, Inés Couso, Luciano Sánchez, 2014 .

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

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

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

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

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

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

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.

Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants

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

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

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

Reconciling Bayesian and Frequentist Tests: the Imprecise Counterpart

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

Lower previsions induced by multi-valued mappings

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

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

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

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

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

A general framework for maximizing likelihood under incomplete data

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

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..

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.

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..

Advocating the Use of Imprecisely Observed Data in Genetic Fuzzy Systems

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

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

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

Fuzzy random variables-based modeling with GA-P algorithms

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

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

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

Comparing Interval-Valued Estimations with Point-Valued Estimations

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

Examples of Independence for Imprecise Probabilities

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

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

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