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Verónica Bolón-Canedo

Verónica Bolón-Canedo

D-Index & Metrics

Computer Science

D-Index
36
Citations
8054
World Ranking
11045
National Ranking
181

Overview

Verónica Bolón-Canedo is affiliated with the University of A Coruña in Spain and focuses primarily on research in computer science. Their work spans a range of topics within this broad field, with a significant emphasis on artificial intelligence and machine learning.

The main areas of study and research include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Molecular Biology
  • Computer Networks and Communications

The scientist's research interests are reflected in their coverage of topics such as:

  • Machine Learning and Data Classification
  • Face and Expression Recognition
  • Neural Networks and Applications
  • Imbalanced Data Classification Techniques
  • Anomaly Detection Techniques and Applications
  • Sentiment Analysis and Opinion Mining
  • Domain Adaptation and Few-Shot Learning

Verónica Bolón-Canedo has published extensively, with a total of 88 publications categorized under computer science. The frequent venues for their work include:

  • SSRN Electronic Journal
  • Neurocomputing
  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • Pattern Recognition

Among recent papers authored or co-authored, the following stand out:

  • "A review of green artificial intelligence: Towards a more sustainable future" (2024, Neurocomputing)
  • "Spatial-temporal feature-based End-to-end Fourier network for 3D sign language recognition" (2024, Expert Systems with Applications)
  • "How important is data quality? Best classifiers vs best features" (2021, Neurocomputing)
  • "Do all roads lead to Rome? Studying distance measures in the context of machine learning" (2023, Pattern Recognition)
  • "Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning" (2022, Information Sciences)

Collaboration is an important aspect of Verónica Bolón-Canedo's work. The most frequent co-authors include:

  • Laura Morán-Fernández
  • Amparo Alonso-Betanzos
  • Beatriz Remeseiro
  • Eva Blanco-Mallo
  • Brais Cancela

Best Publications

  • A review of feature selection methods on synthetic data

    Verónica Bolón-Canedo;Noelia Sánchez-Maroño;Amparo Alonso-Betanzos

  • A review of feature selection methods in medical applications.

    Beatriz Remeseiro;Veronica Bolon-Canedo

  • A review of microarray datasets and applied feature selection methods

    V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos;J. M. Benítez

  • Ensembles for feature selection: A review and future trends

    Verónica Bolón-Canedo;Amparo Alonso-Betanzos

  • Feature selection for high-dimensional data

    Unknown

  • Recent advances and emerging challenges of feature selection in the context of big data

    V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos

  • Ensemble feature selection: Homogeneous and heterogeneous approaches

    Borja Seijo-Pardo;Iago Porto-Díaz;Verónica Bolón-Canedo;Amparo Alonso-Betanzos

  • Feature selection and classification in multiple class datasets

    V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos

  • An ensemble of filters and classifiers for microarray data classification

    V. BolóN-Canedo;N. SáNchez-MaroñO;A. Alonso-Betanzos

  • Distributed feature selection

    V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos

  • Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data

    Sergio Ramírez-Gallego;Iago Lastra;David Martínez-Rego;Verónica Bolón-Canedo

  • Data discretization: taxonomy and big data challenge

    Sergio Ramírez-Gallego;Salvador García;Héctor Mouriño-Talín;David Martínez-Rego;David Martínez-Rego

  • Feature selection in image analysis: a survey

    Verónica Bolón-Canedo;Beatriz Remeseiro

  • Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity: Performance of the “i-ROP” System and Image Features Associated With Expert Diagnosis

    Esra Ataer-Cansizoglu;Veronica Bolon-Canedo;J. Peter Campbell;Alican Bozkurt

  • Expert Diagnosis of Plus Disease in Retinopathy of Prematurity From Computer-Based Image Analysis.

    J. Peter Campbell;Esra Ataer-Cansizoglu;Veronica Bolon-Canedo;Alican Bozkurt

  • An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark

    Sergio Ramirez-Gallego;Hector Mourino-Talin;David Martinez-Rego;Veronica Bolon-Canedo

  • Data classification using an ensemble of filters

    V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos

  • A framework for cost-based feature selection

    Verónica Bolón-Canedo;Iago Porto-Díaz;Noelia Sánchez-Maroño;Amparo Alonso-Betanzos

  • On developing an automatic threshold applied to feature selection ensembles

    Borja Seijo-Pardo;Verónica Bolón-Canedo;Amparo Alonso-Betanzos

  • Centralized vs. distributed feature selection methods based on data complexity measures

    L. Morán-Fernández;V. Bolón-Canedo;A. Alonso-Betanzos

  • On the use of feature selection to improve the detection of sea oil spills in SAR images

    David Mera;Veronica Bolon-Canedo;J.M. Cotos;Amparo Alonso-Betanzos

  • Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches.

    Amparo Alonso-Betanzos;Verónica Bolón-Canedo

Frequent Co-Authors

Amparo Alonso-Betanzos
Amparo Alonso-Betanzos University of A Coruña
Jayashree Kalpathy-Cramer
Jayashree Kalpathy-Cramer Harvard University
Deniz Erdogmus
Deniz Erdogmus Northeastern University
Francisco Herrera
Francisco Herrera University of Granada
José Manuel Benítez
José Manuel Benítez University of Granada
João Gama
João Gama University of Porto
Kristin P. Bennett
Kristin P. Bennett Rensselaer Polytechnic Institute
Isabelle Guyon
Isabelle Guyon University of Paris-Saclay
Salvador García
Salvador García University of Granada
Aurélio Campilho
Aurélio Campilho University of Porto

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