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Computer Science

D-Index
32
Citations
4042
World Ranking
13218
National Ranking
254

Overview

Inés Couso is a researcher affiliated with the University of Oviedo in Spain, specializing primarily in the fields of Engineering and Computer Science.

Their work spans several subfields including:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Automotive Engineering
  • Signal Processing

Their main research topics cover:

  • Reliability and Maintenance Optimization
  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Neural Networks and Applications
  • Fault Detection and Control Systems
  • Time Series Analysis and Forecasting
  • Anomaly Detection Techniques and Applications

Among the frequent coauthors collaborating with Inés Couso are:

  • Luciano Sánchez
  • Nahuel Costa
  • José Otero
  • David Anseán
  • Olivier Strauss

The following publication venues have featured their work multiple times:

  • Reliability Engineering & System Safety
  • International Journal of Approximate Reasoning
  • Information Fusion
  • IEEE Access
  • Fuzzy Sets and Systems

Recent papers by Inés Couso include:

  • Semi-Supervised Recurrent Variational Autoencoder Approach for Visual Diagnosis of Atrial Fibrillation (2021, IEEE Access)
  • Integrating imprecise data in generative models using interval-valued Variational Autoencoders (2024, Information Fusion)
  • Simplified models of remaining useful life based on stochastic orderings (2023, Reliability Engineering & System Safety)
  • Physics-informed learning under epistemic uncertainty with an application to system health modeling (2023, International Journal of Approximate Reasoning)
  • The minimum variance of a random set on a Euclidean space (2021, Fuzzy Sets and Systems)

Inés Couso has also contributed to academic books published by Springer Science+Business Media, including multiple editions of "Information Processing and Management of Uncertainty in Knowledge-Based Systems" published in 2022.

Best Publications

  • A survey of concepts of independence for imprecise probabilities

    Ines Couso;Serafin Moral;Peter Walley

  • Examples of Independence for Imprecise Probabilities

    Inés Couso;Serafín Moral;Peter Walley

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

    Inés Couso;Didier Dubois

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

    Luciano Sánchez;Inés Couso;J. A. Corrales

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

    Cédric Baudrit;Inés Couso;Didier Dubois

  • Divergence measure between fuzzy sets

    Susana Montes;Inés Couso;Pedro Gil;Carlo Bertoluzza

  • Genetic learning of fuzzy rules based on low quality data

    Luciano Sánchez;Inés Couso;Jorge Casillas

  • Similarity and dissimilarity measures between fuzzy sets: A formal relational study

    InéS Couso;Laura Garrido;Luciano SáNchez

  • Advocating the Use of Imprecisely Observed Data in Genetic Fuzzy Systems

    L. Sanchez;I. Couso

  • Higher order models for fuzzy random variables

    Inés Couso;Luciano Sánchez

  • Generalizing the Wilcoxon rank-sum test for interval data

    Julien Perolat;Inés Couso;Kevin Loquin;Olivier Strauss

  • Rough Sets, Coverings and Incomplete Information

    Inés Couso;Didier Dubois

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

    I. Couso;D. Dubois

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

    Inés Couso;Susana Montes;Pedro Gil

  • Random Sets and Random Fuzzy Sets as Ill-Perceived Random Variables

    Inés Couso;Didier Dubois;Luciano Sánchez

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

    InéS Couso;SerafíN Moral

  • Diagnosis of dyslexia with low quality data with genetic fuzzy systems

    Ana M. Palacios;Luciano Sánchez;Inés Couso

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

    Luciano Sánchez;M. Rosario Suárez;J. R. Villar;Inés Couso

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

    L. Sanchez;I. Couso;J. Casillas

  • Independence concepts in evidence theory

    Inés Couso;Serafín Moral

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

    Ines Couso;Christian Borgelt;Eyke Hullermeier;Rudolf Kruse

  • Upper and lower probabilities induced by a fuzzy random variable

    Inés Couso;Luciano Sánchez

  • Lower previsions induced by multi-valued mappings

    Enrique Miranda;Gert de Cooman;Inés Couso

Frequent Co-Authors

Didier Dubois
Didier Dubois Paul Sabatier University
Humberto Bustince
Humberto Bustince Universidad Publica De Navarra
Eyke Hüllermeier
Eyke Hüllermeier Ludwig-Maximilians-Universität München
Serafín Moral
Serafín Moral University of Granada
Javier Fernández
Javier Fernández Universidad Publica De Navarra
Benjamin Bedregal
Benjamin Bedregal Federal University of Rio Grande do Norte
Graçaliz Pereira Dimuro
Graçaliz Pereira Dimuro Federal University of Rio Grande
Edurne Barrenechea
Edurne Barrenechea Universidad Publica De Navarra
Rudolf Kruse
Rudolf Kruse Otto-von-Guericke University Magdeburg

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