Veronica Bolon-Canedo

About Veronica Bolon-Canedo

Veronica Bolon-Canedo, With an exceptional h-index of 35 and a recent h-index of 30 (since 2020), a distinguished researcher at Universidade da Coruña, specializes in the field of Feature Selection, Artificial Intelligence, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Spatial–temporal feature-based End-to-end Fourier network for 3D sign language recognition

A novel framework for generic Spark workload characterization and similar pattern recognition using machine learning

CUDA acceleration of MI-based feature selection methods

Fed-mRMR: A lossless federated feature selection method

The imbalance problem: A comparison of sampling approaches using different parameters and feature selection methods in the context of classification

Efficient feature selection for domain adaptation using Mutual Information Maximization

A Pseudo-Label Guided Hybrid Approach for Unsupervised Domain Adaptation

Logarithmic division for green feature selection: an information-theoretic approach

Veronica Bolon-Canedo Information

University

Position

Assistant Professor CITIC

Citations(all)

6993

Citations(since 2020)

5063

Cited By

3784

hIndex(all)

35

hIndex(since 2020)

30

i10Index(all)

73

i10Index(since 2020)

59

Email

University Profile Page

Google Scholar

Veronica Bolon-Canedo Skills & Research Interests

Feature Selection

Artificial Intelligence

Machine Learning

Top articles of Veronica Bolon-Canedo

Title

Journal

Author(s)

Publication Date

Spatial–temporal feature-based End-to-end Fourier network for 3D sign language recognition

Expert Systems with Applications

Sunusi Bala Abdullahi

Kosin Chamnongthai

Veronica Bolon-Canedo

Brais Cancela

2024/8/15

A novel framework for generic Spark workload characterization and similar pattern recognition using machine learning

Journal of Parallel and Distributed Computing

Mariano Garralda-Barrio

Carlos Eiras-Franco

Verónica Bolón-Canedo

2024/7/1

CUDA acceleration of MI-based feature selection methods

Journal of Parallel and Distributed Computing

Bieito Beceiro

Jorge González-Domínguez

Laura Morán-Fernández

Verónica Bolón-Canedo

Juan Touriño

2024/4/18

Fed-mRMR: A lossless federated feature selection method

Information Sciences

Jorge Hermo

Verónica Bolón-Canedo

Susana Ladra

2024/4/10

The imbalance problem: A comparison of sampling approaches using different parameters and feature selection methods in the context of classification

Expert Systems

Jose L Morillo‐Salas

Verónica Bolón‐Canedo

Amparo Alonso‐Betanzos

2024/3/22

Efficient feature selection for domain adaptation using Mutual Information Maximization

European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

Guillermo Castillo-Garcıa

Laura Morán-Fernández

Verónica Bolón-Canedo

2023

A Pseudo-Label Guided Hybrid Approach for Unsupervised Domain Adaptation

Eva Blanco-Mallo

Verónica Bolón-Canedo

Beatriz Remeseiro

2023/11/15

Logarithmic division for green feature selection: an information-theoretic approach

European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

Samuel Suárez-Marcote

Laura Morán-Fernández

Verónica Bolón-Canedo

2023

Finding a needle in a haystack: insights on feature selection for classification tasks

Journal of Intelligent Information Systems

Laura Morán-Fernández

Verónica Bolón-Canedo

2023/11/3

Data-driven predictive maintenance framework for railway systems

Intelligent Data Analysis

Jorge Meira

Bruno Veloso

Verónica Bolón-Canedo

Goreti Marreiros

Amparo Alonso-Betanzos

...

2023

Feature selection for domain adaptation using complexity measures and swarm intelligence

Neurocomputing

G Castillo-García

L Morán-Fernández

V Bolón-Canedo

2023/9/1

Do all roads lead to Rome? Studying distance measures in the context of machine learning

Pattern Recognition

Eva Blanco-Mallo

Laura Morán-Fernández

Beatriz Remeseiro

Verónica Bolón-Canedo

2023/9/1

Automated green machine learning for condition-based maintenance

European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

Afonso Lourenço

Carolina Ferraz

Jorge Meira

Goreti Marreiros

Verónica Bolón-Canedo

...

2023

Reduced precision discretization based on information theory

Procedia Computer Science

Brais Ares

Laura Morán-Fernández

Verónica Bolón-Canedo

2022/1/1

Feature selection: From the past to the future

Verónica Bolón-Canedo

Amparo Alonso-Betanzos

Laura Morán-Fernández

Brais Cancela

2022/2/27

Less is more: Low-precision feature selection for wearables

Samuel Suárez-Marcote

Laura Morán-Femández

Verónica Bolón-Canedo

2022/7/18

Case studies to demonstrate real-world applications in ophthalmic image analysis

Handbook of Artificial Intelligence in Healthcare: Vol. 1-Advances and Applications

Beatriz Remeseiro

Verónica Bolón-Canedo

2022

Machine Learning Methods for Predicting League of Legends Game Outcome

IEEE Transactions on Games

Juan Agustín Hitar-García

Laura Moran-Fernandez

Veronica Bolon-Canedo

2022/2/23

Explain and conquer: Personalised text-based reviews to achieve transparency

arXiv preprint arXiv:2205.01759

Iñigo López-Riobóo Botana

Verónica Bolón-Canedo

Bertha Guijarro-Berdiñas

Amparo Alonso-Betanzos

2022/5/3

How important is data quality? Best classifiers vs best features

Neurocomputing

Laura Morán-Fernández

Verónica Bólon-Canedo

Amparo Alonso-Betanzos

2022/1/22

See List of Professors in Veronica Bolon-Canedo University(Universidade da Coruña)

Co-Authors

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