World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
4632
World Ranking
13990
National Ranking
278

Overview

Miguel Pagola is affiliated with Universidad Publica De Navarra in Spain. Their research spans multiple fields primarily within computer science and engineering, with a focus on areas that integrate advanced computational techniques and industrial applications.

Their work is concentrated in the following fields of study:

  • Computer Science
  • Engineering

Within these fields, the subfields that Miguel Pagola explores include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Industrial and Manufacturing Engineering
  • Statistics, Probability and Uncertainty
  • Media Technology

Their research topics cover areas such as:

  • Advanced Image and Video Retrieval Techniques
  • Anomaly Detection Techniques and Applications
  • Industrial Vision Systems and Defect Detection
  • Image Retrieval and Classification Techniques
  • Domain Adaptation and Few-Shot Learning
  • Advanced Statistical Process Monitoring
  • Advanced Neural Network Applications

Miguel Pagola has contributed to a range of academic publications over recent years. Notable papers include:

  • "Co-occurrence of deep convolutional features for image search," published in 2020 in Image and Vision Computing
  • "Learning ordered pooling weights in image classification," published in 2020 in Neurocomputing
  • "Anomaly detection in Smart-manufacturing era: A review," published in 2024 in Engineering Applications of Artificial Intelligence
  • "Anomaly Detection in Smart-Manufacturing Era: A Review," published in 2024 in SSRN Electronic Journal
  • "Explorando la actitud del profesorado de Educación Primaria hacia la probabilidad y su enseñanza: formación, antigüedad y género, en el foco de interés.," published in 2025 in Revista Interuniversitaria de Formación del Profesorado Continuación de la antigua Revista de Escuelas Normales

Their frequent collaborators include:

  • Juan I. Forcen
  • Edurne Barrenechea
  • Humberto Bustince
  • Iñaki Elía
  • Ainhoa Berciano

In terms of publication venues, Miguel Pagola's work has appeared in:

  • Image and Vision Computing
  • Engineering Applications of Artificial Intelligence
  • Neurocomputing
  • SSRN Electronic Journal
  • Revista Interuniversitaria de Formación del Profesorado Continuación de la antigua Revista de Escuelas Normales

Best Publications

  • A Historical Account of Types of Fuzzy Sets and Their Relationships

    Humberto Bustince;Edurne Barrenechea;Miguel Pagola;Javier Fernandez

  • Grouping, Overlap, and Generalized Bientropic Functions for Fuzzy Modeling of Pairwise Comparisons

    H. Bustince;M. Pagola;R. Mesiar;E. Hullermeier

  • Interval-valued fuzzy sets constructed from matrices: Application to edge detection

    H. Bustince;E. Barrenechea;M. Pagola;J. Fernandez

  • Construction of fuzzy indices from fuzzy DI-subsethood measures: Application to the global comparison of images

    H. Bustince;M. Pagola;E. Barrenechea

  • New method to assess barley nitrogen nutrition status based on image colour analysis

    Miguel Pagola;Rubén Ortiz;Ignacio Irigoyen;Humberto Bustince

  • Image thresholding using restricted equivalence functions and maximizing the measures of similarity

    H. Bustince;E. Barrenechea;M. Pagola

  • Restricted equivalence functions

    H. Bustince;E. Barrenechea;M. Pagola

  • Some properties of overlap and grouping functions and their application to image thresholding

    A. Jurio;H. Bustince;M. Pagola;A. Pradera

  • Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system

    José Antonio Sanz;Mikel Galar;Aranzazu Jurio;Antonio Brugos

  • Relationship between restricted dissimilarity functions, restricted equivalence functions and normal EN-functions: Image thresholding invariant

    H. Bustince;E. Barrenechea;M. Pagola

  • Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Toward a Wider View on Their Relationship

    Unknown

  • Definition and construction of fuzzy DI-subsethood measures

    H. Bustince;V. Mohedano;E. Barrenechea;M. Pagola

  • Ignorance functions. An application to the calculation of the threshold in prostate ultrasound images

    H. Bustince;M. Pagola;E. Barrenechea;J. Fernandez

  • Comments on “Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Towards a Wide View on Their Relationship”

    Humberto Bustince Sola;Javier Fernandez;Hani Hagras;Francisco Herrera

  • Construction of interval-valued fuzzy preference relations from ignorance functions and fuzzy preference relations. Application to decision making

    Edurne Barrenechea;Javier Fernandez;Miguel Pagola;Francisco Chiclana

  • Generation of interval-valued fuzzy and atanassov's intuitionistic fuzzy connectives from fuzzy connectives and from K α operators: Laws for conjunctions and disjunctions, amplitude

    H. Bustince;E. Barrenechea;M. Pagola

  • Uncertainties with Atanassov's intuitionistic fuzzy sets: Fuzziness and lack of knowledge

    N. R. Pal;H. Bustince;M. Pagola;U. K. Mukherjee

  • Image segmentation using Atanassov's intuitionistic fuzzy sets

    Pedro Melo-Pinto;Pedro Couto;Humberto Bustince;Edurne Barrenechea

  • A Survey of Interval‐Valued Fuzzy Sets

    Humberto Bustince;Javier Montero;Miguel Pagola;Edurne Barrenechea

  • Interval Type-2 Fuzzy Sets Constructed From Several Membership Functions: Application to the Fuzzy Thresholding Algorithm

    M. Pagola;C. Lopez-Molina;J. Fernandez;E. Barrenechea

  • A survey of fingerprint classification Part II

    Mikel Galar;Joaquín Derrac;Daniel Peralta;Isaac Triguero

  • Generation of interval‐valued fuzzy and atanassov's intuitionistic fuzzy connectives from fuzzy connectives and from Kα operators: Laws for conjunctions and disjunctions, amplitude

    Unknown

Frequent Co-Authors

Humberto Bustince
Humberto Bustince Universidad Publica De Navarra
Edurne Barrenechea
Edurne Barrenechea Universidad Publica De Navarra
Javier Fernández
Javier Fernández Universidad Publica De Navarra
Javier Montero
Javier Montero Complutense University of Madrid
Mikel Galar
Mikel Galar Universidad Publica De Navarra
Francisco Herrera
Francisco Herrera University of Granada
Gleb Beliakov
Gleb Beliakov Deakin University
Salvador García
Salvador García University of Granada
Isaac Triguero
Isaac Triguero University of Nottingham
Hani Hagras
Hani Hagras University of Essex

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